829fcc1df0b4: Pull complete
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a2c64ee78c5c: Pull complete

Process still running.

Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
V4L2_DEVICES:
### ARM64 architecture detected
### Jetson Detected
SYSTEM_ARCH=tegra-aarch64
+ docker run --runtime nvidia --env NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics -it --rm --network host --shm-size=8g --volume /tmp/argus_socket:/tmp/argus_socket --volume /etc/enctune.conf:/etc/enctune.conf --volume /etc/nv_tegra_release:/etc/nv_tegra_release --volume /tmp/nv_jetson_model:/tmp/nv_jetson_model --volume /var/run/dbus:/var/run/dbus --volume /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket --volume /var/run/docker.sock:/var/run/docker.sock --volume /home/jetson/jetson-containers/data:/data -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro --device /dev/snd -e PULSE_SERVER=unix:/run/user/1000/pulse/native -v /run/user/1000/pulse:/run/user/1000/pulse --device /dev/bus/usb --device /dev/i2c-0 --device /dev/i2c-1 --device /dev/i2c-2 --device /dev/i2c-4 --device /dev/i2c-5 --device /dev/i2c-7 --device /dev/i2c-9 -v /run/jtop.sock:/run/jtop.sock -d --name qwen-server dustynv/vllm:0.8.6-r36.4-cu128-24.04 python3 -m vllm.entrypoints.openai.api_server --model Qwen/Qwen2.5-VL-3B-Instruct --quantization int4 --max-model-len 32768 --gpu-memory-utilization 0.95 --trust-remote-code --port 8000
Unable to find image 'dustynv/vllm:0.8.6-r36.4-cu128-24.04' locally
0.8.6-r36.4-cu128-24.04: Pulling from dustynv/vllm
5b17151e9710: Already exists
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a2c64ee78c5c: Pull complete


(no new output)

Process still running.


Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sat 2026-02-28 21:22 UTC"
}
```

https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct


The user is asking for a status update.
I have been pulling a large Docker image (5.7GB) for `vllm` on the Jetson Orin Nano.
The pull is still in progress (lots of "Pull complete" messages).
This is taking time because the Jetson is connected via USB RNDIS (sharing `fred`'s internet), which is slow.

I should check the current status of the pull. It seems to be near the end (all layers are "Pull complete", waiting for extraction/verification).

Once the pull is done, the container will start, download the model (Qwen2.5-VL-3B-Instruct), and start the server.

I will provide a quick status update.

**Status: Pulling Docker Image**

The `vllm` container image (5.7 GB) is downloading to the Jetson. It's almost complete — all layers have been pulled and are now extracting. The connection is via USB networking, so it's taking a few minutes.

**What's Next:**
1.  Image extraction finishes.
2.  Container starts and downloads the **Qwen2.5-VL-3B-Instruct** model (~3GB) from HuggingFace.
3.  vLLM server starts on port 8000.

I'll let you know the moment the server is ready to accept requests.


System: [2026-02-28 21:32:30 UTC] Exec completed (lucky-pi, code 0) :: Pull complete 1c35e935146a: Pull complete 2821cf0faed0: Pull complete 95388ee5d8ea: Pull complete a2c64ee78c5c: Pull complete 0cd0ca9446d8: Pull complete eeab5f3dbc44: Pull comple…

Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sat 2026-02-28 21:41 UTC"
}
```

status?


exec

sshpass -p jetson ssh jetson@192.168.55.1 "docker logs qwen-server"


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
Error response from daemon: No such container: qwen-server

(Command exited with code 1)


sshpass -p jetson ssh jetson@192.168.55.1 "docker ps -a"


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
CONTAINER ID   IMAGE     COMMAND   CREATED   STATUS    PORTS     NAMES


sshpass -p jetson ssh jetson@192.168.55.1 "cd jetson-containers && ./run.sh -d --name qwen-server dustynv/vllm:0.8.6-r36.4-cu128-24.04 \
  python3 -m vllm.entrypoints.openai.api_server \
  --model Qwen/Qwen2.5-VL-3B-Instruct \
  --quantization int4 \
  --max-model-len 32768 \
  --gpu-memory-utilization 0.95 \
  --trust-remote-code \
  --port 8000"


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
V4L2_DEVICES:
### ARM64 architecture detected
### Jetson Detected
SYSTEM_ARCH=tegra-aarch64
+ docker run --runtime nvidia --env NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics -it --rm --network host --shm-size=8g --volume /tmp/argus_socket:/tmp/argus_socket --volume /etc/enctune.conf:/etc/enctune.conf --volume /etc/nv_tegra_release:/etc/nv_tegra_release --volume /tmp/nv_jetson_model:/tmp/nv_jetson_model --volume /var/run/dbus:/var/run/dbus --volume /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket --volume /var/run/docker.sock:/var/run/docker.sock --volume /home/jetson/jetson-containers/data:/data -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro --device /dev/snd -e PULSE_SERVER=unix:/run/user/1000/pulse/native -v /run/user/1000/pulse:/run/user/1000/pulse --device /dev/bus/usb --device /dev/i2c-0 --device /dev/i2c-1 --device /dev/i2c-2 --device /dev/i2c-4 --device /dev/i2c-5 --device /dev/i2c-7 --device /dev/i2c-9 -v /run/jtop.sock:/run/jtop.sock -d --name qwen-server dustynv/vllm:0.8.6-r36.4-cu128-24.04 python3 -m vllm.entrypoints.openai.api_server --model Qwen/Qwen2.5-VL-3B-Instruct --quantization int4 --max-model-len 32768 --gpu-memory-utilization 0.95 --trust-remote-code --port 8000
68dfee627ee4a8e3514916739e1445106fc7e975fda1b65b01a05d3dbc8b6e7f


sshpass -p jetson ssh jetson@192.168.55.1 "docker logs -f qwen-server"


Command still running (session mellow-cedar, pid 3768514). Use process (list/poll/log/write/kill/clear/remove) for follow-up.

en-threshold LONG_PREFILL_TOKEN_THRESHOLD]
                     [--num-lookahead-slots NUM_LOOKAHEAD_SLOTS]
                     [--scheduler-delay-factor SCHEDULER_DELAY_FACTOR]
                     [--preemption-mode {recompute,swap,None}]
                     [--num-scheduler-steps NUM_SCHEDULER_STEPS]
                     [--multi-step-stream-outputs | --no-multi-step-stream-outputs]
                     [--scheduling-policy {fcfs,priority}]
                     [--enable-chunked-prefill | --no-enable-chunked-prefill]
                     [--disable-chunked-mm-input | --no-disable-chunked-mm-input]
                     [--scheduler-cls SCHEDULER_CLS]
                     [--override-neuron-config OVERRIDE_NEURON_CONFIG]
                     [--override-pooler-config OVERRIDE_POOLER_CONFIG]
                     [--compilation-config COMPILATION_CONFIG]
                     [--kv-transfer-config KV_TRANSFER_CONFIG]
                     [--worker-cls WORKER_CLS]
                     [--worker-extension-cls WORKER_EXTENSION_CLS]
                     [--generation-config GENERATION_CONFIG]
                     [--override-generation-config OVERRIDE_GENERATION_CONFIG]
                     [--enable-sleep-mode]
                     [--additional-config ADDITIONAL_CONFIG]
                     [--enable-reasoning] [--disable-cascade-attn]
                     [--disable-log-requests] [--max-log-len MAX_LOG_LEN]
                     [--disable-fastapi-docs] [--enable-prompt-tokens-details]
                     [--enable-server-load-tracking]
api_server.py: error: argument --quantization/-q: invalid choice: 'int4' (choose from 'aqlm', 'awq', 'deepspeedfp', 'tpu_int8', 'fp8', 'ptpc_fp8', 'fbgemm_fp8', 'modelopt', 'nvfp4', 'marlin', 'bitblas', 'gguf', 'gptq_marlin_24', 'gptq_marlin', 'gptq_bitblas', 'awq_marlin', 'gptq', 'compressed-tensors', 'bitsandbytes', 'qqq', 'hqq', 'experts_int8', 'neuron_quant', 'ipex', 'quark', 'moe_wna16', 'torchao', None)


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:42:35 [__init__.py:239] Automatically detected platform cuda.
usage: api_server.py [-h] [--host HOST] [--port PORT]
                     [--uvicorn-log-level {debug,info,warning,error,critical,trace}]
                     [--disable-uvicorn-access-log] [--allow-credentials]
                     [--allowed-origins ALLOWED_ORIGINS]
                     [--allowed-methods ALLOWED_METHODS]
                     [--allowed-headers ALLOWED_HEADERS] [--api-key API_KEY]
                     [--lora-modules LORA_MODULES [LORA_MODULES ...]]
                     [--prompt-adapters PROMPT_ADAPTERS [PROMPT_ADAPTERS ...]]
                     [--chat-template CHAT_TEMPLATE]
                     [--chat-template-content-format {auto,string,openai}]
                     [--response-role RESPONSE_ROLE]
                     [--ssl-keyfile SSL_KEYFILE] [--ssl-certfile SSL_CERTFILE]
                     [--ssl-ca-certs SSL_CA_CERTS] [--enable-ssl-refresh]
                     [--ssl-cert-reqs SSL_CERT_REQS] [--root-path ROOT_PATH]
                     [--middleware MIDDLEWARE] [--return-tokens-as-token-ids]
                     [--disable-frontend-multiprocessing]
                     [--enable-request-id-headers] [--enable-auto-tool-choice]
                     [--tool-call-parser {granite-20b-fc,granite,hermes,internlm,jamba,llama4_json,llama3_json,mistral,phi4_mini_json,pythonic} or name registered in --tool-parser-plugin]
                     [--tool-parser-plugin TOOL_PARSER_PLUGIN] [--model MODEL]
                     [--task {auto,generate,embedding,embed,classify,score,reward,transcription}]
                     [--tokenizer TOKENIZER] [--hf-config-path HF_CONFIG_PATH]
                     [--skip-tokenizer-init] [--revision REVISION]
                     [--code-revision CODE_REVISION]
                     [--tokenizer-revision TOKENIZER_REVISION]
                     [--tokenizer-mode {auto,slow,mistral,custom}]
                     [--trust-remote-code]
                     [--allowed-local-media-path ALLOWED_LOCAL_MEDIA_PATH]
                     [--load-format {auto,pt,safetensors,npcache,dummy,tensorizer,sharded_state,gguf,bitsandbytes,mistral,runai_streamer,runai_streamer_sharded,fastsafetensors}]
                     [--download-dir DOWNLOAD_DIR]
                     [--model-loader-extra-config MODEL_LOADER_EXTRA_CONFIG]
                     [--use-tqdm-on-load | --no-use-tqdm-on-load]
                     [--config-format {auto,hf,mistral}]
                     [--dtype {auto,half,float16,bfloat16,float,float32}]
                     [--max-model-len MAX_MODEL_LEN]
                     [--guided-decoding-backend {auto,guidance,lm-format-enforcer,outlines,xgrammar}]
                     [--reasoning-parser {deepseek_r1,granite}]
                     [--logits-processor-pattern LOGITS_PROCESSOR_PATTERN]
                     [--model-impl {auto,vllm,transformers}]
                     [--distributed-executor-backend {external_launcher,mp,ray,uni,None}]
                     [--pipeline-parallel-size PIPELINE_PARALLEL_SIZE]
                     [--tensor-parallel-size TENSOR_PARALLEL_SIZE]
                     [--data-parallel-size DATA_PARALLEL_SIZE]
                     [--enable-expert-parallel | --no-enable-expert-parallel]
                     [--max-parallel-loading-workers MAX_PARALLEL_LOADING_WORKERS]
                     [--ray-workers-use-nsight | --no-ray-workers-use-nsight]
                     [--disable-custom-all-reduce | --no-disable-custom-all-reduce]
                     [--block-size {1,8,16,32,64,128}]
                     [--gpu-memory-utilization GPU_MEMORY_UTILIZATION]
                     [--swap-space SWAP_SPACE]
                     [--kv-cache-dtype {auto,fp8,fp8_e4m3,fp8_e5m2}]
                     [--num-gpu-blocks-override NUM_GPU_BLOCKS_OVERRIDE]
                     [--enable-prefix-caching | --no-enable-prefix-caching]
                     [--prefix-caching-hash-algo {builtin,sha256}]
                     [--cpu-offload-gb CPU_OFFLOAD_GB]
                     [--calculate-kv-scales | --no-calculate-kv-scales]
                     [--disable-sliding-window] [--use-v2-block-manager]
                     [--seed SEED] [--max-logprobs MAX_LOGPROBS]
                     [--disable-log-stats]
                     [--quantization {aqlm,awq,deepspeedfp,tpu_int8,fp8,ptpc_fp8,fbgemm_fp8,modelopt,nvfp4,marlin,bitblas,gguf,gptq_marlin_24,gptq_marlin,gptq_bitblas,awq_marlin,gptq,compressed-tensors,bitsandbytes,qqq,hqq,experts_int8,neuron_quant,ipex,quark,moe_wna16,torchao,None}]
                     [--rope-scaling ROPE_SCALING] [--rope-theta ROPE_THETA]
                     [--hf-token [HF_TOKEN]] [--hf-overrides HF_OVERRIDES]
                     [--enforce-eager]
                     [--max-seq-len-to-capture MAX_SEQ_LEN_TO_CAPTURE]
                     [--tokenizer-pool-size TOKENIZER_POOL_SIZE]
                     [--tokenizer-pool-type TOKENIZER_POOL_TYPE]
                     [--tokenizer-pool-extra-config TOKENIZER_POOL_EXTRA_CONFIG]
                     [--limit-mm-per-prompt LIMIT_MM_PER_PROMPT]
                     [--mm-processor-kwargs MM_PROCESSOR_KWARGS]
                     [--disable-mm-preprocessor-cache | --no-disable-mm-preprocessor-cache]
                     [--enable-lora | --no-enable-lora]
                     [--enable-lora-bias | --no-enable-lora-bias]
                     [--max-loras MAX_LORAS] [--max-lora-rank MAX_LORA_RANK]
                     [--lora-extra-vocab-size LORA_EXTRA_VOCAB_SIZE]
                     [--lora-dtype {auto,bfloat16,float16}]
                     [--long-lora-scaling-factors LONG_LORA_SCALING_FACTORS [LONG_LORA_SCALING_FACTORS ...]]
                     [--max-cpu-loras MAX_CPU_LORAS]
                     [--fully-sharded-loras | --no-fully-sharded-loras]
                     [--enable-prompt-adapter | --no-enable-prompt-adapter]
                     [--max-prompt-adapters MAX_PROMPT_ADAPTERS]
                     [--max-prompt-adapter-token MAX_PROMPT_ADAPTER_TOKEN]
                     [--device {auto,cpu,cuda,hpu,neuron,tpu,xpu}]
                     [--speculative-config SPECULATIVE_CONFIG]
                     [--ignore-patterns IGNORE_PATTERNS]
                     [--served-model-name SERVED_MODEL_NAME [SERVED_MODEL_NAME ...]]
                     [--qlora-adapter-name-or-path QLORA_ADAPTER_NAME_OR_PATH]
                     [--show-hidden-metrics-for-version SHOW_HIDDEN_METRICS_FOR_VERSION]
                     [--otlp-traces-endpoint OTLP_TRACES_ENDPOINT]
                     [--collect-detailed-traces COLLECT_DETAILED_TRACES]
                     [--disable-async-output-proc]
                     [--max-num-batched-tokens MAX_NUM_BATCHED_TOKENS]
                     [--max-num-seqs MAX_NUM_SEQS]
                     [--max-num-partial-prefills MAX_NUM_PARTIAL_PREFILLS]
                     [--max-long-partial-prefills MAX_LONG_PARTIAL_PREFILLS]
                     [--long-prefill-token-threshold LONG_PREFILL_TOKEN_THRESHOLD]
                     [--num-lookahead-slots NUM_LOOKAHEAD_SLOTS]
                     [--scheduler-delay-factor SCHEDULER_DELAY_FACTOR]
                     [--preemption-mode {recompute,swap,None}]
                     [--num-scheduler-steps NUM_SCHEDULER_STEPS]
                     [--multi-step-stream-outputs | --no-multi-step-stream-outputs]
                     [--scheduling-policy {fcfs,priority}]
                     [--enable-chunked-prefill | --no-enable-chunked-prefill]
                     [--disable-chunked-mm-input | --no-disable-chunked-mm-input]
                     [--scheduler-cls SCHEDULER_CLS]
                     [--override-neuron-config OVERRIDE_NEURON_CONFIG]
                     [--override-pooler-config OVERRIDE_POOLER_CONFIG]
                     [--compilation-config COMPILATION_CONFIG]
                     [--kv-transfer-config KV_TRANSFER_CONFIG]
                     [--worker-cls WORKER_CLS]
                     [--worker-extension-cls WORKER_EXTENSION_CLS]
                     [--generation-config GENERATION_CONFIG]
                     [--override-generation-config OVERRIDE_GENERATION_CONFIG]
                     [--enable-sleep-mode]
                     [--additional-config ADDITIONAL_CONFIG]
                     [--enable-reasoning] [--disable-cascade-attn]
                     [--disable-log-requests] [--max-log-len MAX_LOG_LEN]
                     [--disable-fastapi-docs] [--enable-prompt-tokens-details]
                     [--enable-server-load-tracking]
api_server.py: error: argument --quantization/-q: invalid choice: 'int4' (choose from 'aqlm', 'awq', 'deepspeedfp', 'tpu_int8', 'fp8', 'ptpc_fp8', 'fbgemm_fp8', 'modelopt', 'nvfp4', 'marlin', 'bitblas', 'gguf', 'gptq_marlin_24', 'gptq_marlin', 'gptq_bitblas', 'awq_marlin', 'gptq', 'compressed-tensors', 'bitsandbytes', 'qqq', 'hqq', 'experts_int8', 'neuron_quant', 'ipex', 'quark', 'moe_wna16', 'torchao', None)


sshpass -p jetson ssh jetson@192.168.55.1 "docker rm -f qwen-server && \
cd jetson-containers && ./run.sh -d --name qwen-server dustynv/vllm:0.8.6-r36.4-cu128-24.04 \
  python3 -m vllm.entrypoints.openai.api_server \
  --model Qwen/Qwen2.5-VL-3B-Instruct \
  --max-model-len 32768 \
  --gpu-memory-utilization 0.95 \
  --trust-remote-code \
  --port 8000"


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
Error response from daemon: No such container: qwen-server
V4L2_DEVICES:
### ARM64 architecture detected
### Jetson Detected
SYSTEM_ARCH=tegra-aarch64
+ docker run --runtime nvidia --env NVIDIA_DRIVER_CAPABILITIES=compute,utility,graphics -it --rm --network host --shm-size=8g --volume /tmp/argus_socket:/tmp/argus_socket --volume /etc/enctune.conf:/etc/enctune.conf --volume /etc/nv_tegra_release:/etc/nv_tegra_release --volume /tmp/nv_jetson_model:/tmp/nv_jetson_model --volume /var/run/dbus:/var/run/dbus --volume /var/run/avahi-daemon/socket:/var/run/avahi-daemon/socket --volume /var/run/docker.sock:/var/run/docker.sock --volume /home/jetson/jetson-containers/data:/data -v /etc/localtime:/etc/localtime:ro -v /etc/timezone:/etc/timezone:ro --device /dev/snd -e PULSE_SERVER=unix:/run/user/1000/pulse/native -v /run/user/1000/pulse:/run/user/1000/pulse --device /dev/bus/usb --device /dev/i2c-0 --device /dev/i2c-1 --device /dev/i2c-2 --device /dev/i2c-4 --device /dev/i2c-5 --device /dev/i2c-7 --device /dev/i2c-9 -v /run/jtop.sock:/run/jtop.sock -d --name qwen-server dustynv/vllm:0.8.6-r36.4-cu128-24.04 python3 -m vllm.entrypoints.openai.api_server --model Qwen/Qwen2.5-VL-3B-Instruct --max-model-len 32768 --gpu-memory-utilization 0.95 --trust-remote-code --port 8000
bc08c06203c68e30aba54080b4f7ac3d2ebc4a64667f36fb03d990a17a4278f7


Command still running (session tide-falcon, pid 3779866). Use process (list/poll/log/write/kill/clear/remove) for follow-up.

s=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

config.json: 0.00B [00:00, ?B/s]
config.json: 1.37kB [00:00, 3.14MB/s]

preprocessor_config.json:   0% 0.00/350 [00:00<?, ?B/s]
preprocessor_config.json: 100% 350/350 [00:00<00:00, 1.21MB/s]


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

config.json: 0.00B [00:00, ?B/s]
config.json: 1.37kB [00:00, 3.14MB/s]

preprocessor_config.json:   0% 0.00/350 [00:00<?, ?B/s]
preprocessor_config.json: 100% 350/350 [00:00<00:00, 1.21MB/s]
INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.


/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

config.json: 0.00B [00:00, ?B/s]
config.json: 1.37kB [00:00, 3.14MB/s]

preprocessor_config.json:   0% 0.00/350 [00:00<?, ?B/s]
preprocessor_config.json: 100% 350/350 [00:00<00:00, 1.21MB/s]
INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.

tokenizer_config.json: 0.00B [00:00, ?B/s]
tokenizer_config.json: 5.70kB [00:00, 9.51MB/s]

vocab.json: 0.00B [00:00, ?B/s]
vocab.json: 1.84MB [00:00, 18.3MB/s]
vocab.json: 2.78MB [00:00, 23.7MB/s]

merges.txt: 0.00B [00:00, ?B/s]
merges.txt: 1.67MB [00:00, 48.0MB/s]

tokenizer.json: 0.00B [00:00, ?B/s]
tokenizer.json: 7.03MB [00:00, 71.2MB/s]

generation_config.json:   0% 0.00/216 [00:00<?, ?B/s]
generation_config.json: 100% 216/216 [00:00<00:00, 1.29MB/s]
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.

Process still running.

sshpass jetson

Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

config.json: 0.00B [00:00, ?B/s]
config.json: 1.37kB [00:00, 3.14MB/s]

preprocessor_config.json:   0% 0.00/350 [00:00<?, ?B/s]
preprocessor_config.json: 100% 350/350 [00:00<00:00, 1.21MB/s]
INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.

tokenizer_config.json: 0.00B [00:00, ?B/s]
tokenizer_config.json: 5.70kB [00:00, 9.51MB/s]

vocab.json: 0.00B [00:00, ?B/s]
vocab.json: 1.84MB [00:00, 18.3MB/s]
vocab.json: 2.78MB [00:00, 23.7MB/s]

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/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(


INFO 02-28 21:43:40 [__init__.py:239] Automatically detected platform cuda.

Process still running.

Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

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INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.

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tokenizer_config.json: 5.70kB [00:00, 9.51MB/s]

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/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:40 [__init__.py:239] Automatically detected platform cuda.


INFO 02-28 21:43:46 [core.py:58] Initializing a V1 LLM engine (v0.8.6) with config: model='Qwen/Qwen2.5-VL-3B-Instruct', speculative_config=None, tokenizer='Qwen/Qwen2.5-VL-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='auto', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=None, served_model_name=Qwen/Qwen2.5-VL-3B-Instruct, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"custom_ops":["none"],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":512}
WARNING 02-28 21:43:46 [utils.py:2522] Methods determine_num_available_blocks,device_config,get_cache_block_size_bytes,initialize_cache not implemented in <vllm.v1.worker.gpu_worker.Worker object at 0xfffee4b48b00>
[W228 21:43:47.219664839 ProcessGroupNCCL.cpp:959] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator())
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
INFO 02-28 21:43:47 [parallel_state.py:1004] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
INFO 02-28 21:43:47 [cuda.py:221] Using Flash Attention backend on V1 engine.
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

chat_template.json: 0.00B [00:00, ?B/s]
chat_template.json: 1.05kB [00:00, 2.29MB/s]

Process still running.

Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

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INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.

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tokenizer_config.json: 5.70kB [00:00, 9.51MB/s]

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vocab.json: 2.78MB [00:00, 23.7MB/s]

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/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:40 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:46 [core.py:58] Initializing a V1 LLM engine (v0.8.6) with config: model='Qwen/Qwen2.5-VL-3B-Instruct', speculative_config=None, tokenizer='Qwen/Qwen2.5-VL-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='auto', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=None, served_model_name=Qwen/Qwen2.5-VL-3B-Instruct, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"custom_ops":["none"],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":512}
WARNING 02-28 21:43:46 [utils.py:2522] Methods determine_num_available_blocks,device_config,get_cache_block_size_bytes,initialize_cache not implemented in <vllm.v1.worker.gpu_worker.Worker object at 0xfffee4b48b00>
[W228 21:43:47.219664839 ProcessGroupNCCL.cpp:959] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator())
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
INFO 02-28 21:43:47 [parallel_state.py:1004] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
INFO 02-28 21:43:47 [cuda.py:221] Using Flash Attention backend on V1 engine.
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

chat_template.json: 0.00B [00:00, ?B/s]
chat_template.json: 1.05kB [00:00, 2.29MB/s]


INFO 02-28 21:44:02 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling.
INFO 02-28 21:44:03 [gpu_model_runner.py:1329] Starting to load model Qwen/Qwen2.5-VL-3B-Instruct...
WARNING 02-28 21:44:03 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.
INFO 02-28 21:44:03 [config.py:3644] cudagraph sizes specified by model runner [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 264, 272, 280, 288, 296, 304, 312, 320, 328, 336, 344, 352, 360, 368, 376, 384, 392, 400, 408, 416, 424, 432, 440, 448, 456, 464, 472, 480, 488, 496, 504, 512] is overridden by config [512, 384, 256, 128, 4, 2, 1, 392, 264, 136, 8, 400, 272, 144, 16, 408, 280, 152, 24, 416, 288, 160, 32, 424, 296, 168, 40, 432, 304, 176, 48, 440, 312, 184, 56, 448, 320, 192, 64, 456, 328, 200, 72, 464, 336, 208, 80, 472, 344, 216, 88, 120, 480, 352, 248, 224, 96, 488, 504, 360, 232, 104, 496, 368, 240, 112, 376]

Process still running.

Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

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INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.

tokenizer_config.json: 0.00B [00:00, ?B/s]
tokenizer_config.json: 5.70kB [00:00, 9.51MB/s]

vocab.json: 0.00B [00:00, ?B/s]
vocab.json: 1.84MB [00:00, 18.3MB/s]
vocab.json: 2.78MB [00:00, 23.7MB/s]

merges.txt: 0.00B [00:00, ?B/s]
merges.txt: 1.67MB [00:00, 48.0MB/s]

tokenizer.json: 0.00B [00:00, ?B/s]
tokenizer.json: 7.03MB [00:00, 71.2MB/s]

generation_config.json:   0% 0.00/216 [00:00<?, ?B/s]
generation_config.json: 100% 216/216 [00:00<00:00, 1.29MB/s]
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:40 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:46 [core.py:58] Initializing a V1 LLM engine (v0.8.6) with config: model='Qwen/Qwen2.5-VL-3B-Instruct', speculative_config=None, tokenizer='Qwen/Qwen2.5-VL-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='auto', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=None, served_model_name=Qwen/Qwen2.5-VL-3B-Instruct, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"custom_ops":["none"],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":512}
WARNING 02-28 21:43:46 [utils.py:2522] Methods determine_num_available_blocks,device_config,get_cache_block_size_bytes,initialize_cache not implemented in <vllm.v1.worker.gpu_worker.Worker object at 0xfffee4b48b00>
[W228 21:43:47.219664839 ProcessGroupNCCL.cpp:959] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator())
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
INFO 02-28 21:43:47 [parallel_state.py:1004] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
INFO 02-28 21:43:47 [cuda.py:221] Using Flash Attention backend on V1 engine.
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

chat_template.json: 0.00B [00:00, ?B/s]
chat_template.json: 1.05kB [00:00, 2.29MB/s]
INFO 02-28 21:44:02 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling.
INFO 02-28 21:44:03 [gpu_model_runner.py:1329] Starting to load model Qwen/Qwen2.5-VL-3B-Instruct...
WARNING 02-28 21:44:03 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.
INFO 02-28 21:44:03 [config.py:3644] cudagraph sizes specified by model runner [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 264, 272, 280, 288, 296, 304, 312, 320, 328, 336, 344, 352, 360, 368, 376, 384, 392, 400, 408, 416, 424, 432, 440, 448, 456, 464, 472, 480, 488, 496, 504, 512] is overridden by config [512, 384, 256, 128, 4, 2, 1, 392, 264, 136, 8, 400, 272, 144, 16, 408, 280, 152, 24, 416, 288, 160, 32, 424, 296, 168, 40, 432, 304, 176, 48, 440, 312, 184, 56, 448, 320, 192, 64, 456, 328, 200, 72, 464, 336, 208, 80, 472, 344, 216, 88, 120, 480, 352, 248, 224, 96, 488, 504, 360, 232, 104, 496, 368, 240, 112, 376]


n_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/opt/venv/lib/python3.12/site-packages/uvloop/__init__.py", line 61, in wrapper
    return await main
           ^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 1078, in run_server
    async with build_async_engine_client(args) as engine_client:
  File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 146, in build_async_engine_client
    async with build_async_engine_client_from_engine_args(
  File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 178, in build_async_engine_client_from_engine_args
    async_llm = AsyncLLM.from_vllm_config(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/async_llm.py", line 150, in from_vllm_config
    return cls(
           ^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/async_llm.py", line 118, in __init__
    self.engine_core = core_client_class(
                       ^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 642, in __init__
    super().__init__(
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 398, in __init__
    self._wait_for_engine_startup()
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 430, in _wait_for_engine_startup
    raise RuntimeError("Engine core initialization failed. "
RuntimeError: Engine core initialization failed. See root cause above.

Process exited with code 0.

Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:06 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:11 [api_server.py:1043] vLLM API server version 0.8.6
INFO 02-28 21:43:11 [api_server.py:1044] args: Namespace(host=None, port=8000, uvicorn_log_level='info', disable_uvicorn_access_log=False, allow_credentials=False, allowed_origins=['*'], allowed_methods=['*'], allowed_headers=['*'], api_key=None, lora_modules=None, prompt_adapters=None, chat_template=None, chat_template_content_format='auto', response_role='assistant', ssl_keyfile=None, ssl_certfile=None, ssl_ca_certs=None, enable_ssl_refresh=False, ssl_cert_reqs=0, root_path=None, middleware=[], return_tokens_as_token_ids=False, disable_frontend_multiprocessing=False, enable_request_id_headers=False, enable_auto_tool_choice=False, tool_call_parser=None, tool_parser_plugin='', model='Qwen/Qwen2.5-VL-3B-Instruct', task='auto', tokenizer=None, hf_config_path=None, skip_tokenizer_init=False, revision=None, code_revision=None, tokenizer_revision=None, tokenizer_mode='auto', trust_remote_code=True, allowed_local_media_path=None, load_format='auto', download_dir=None, model_loader_extra_config={}, use_tqdm_on_load=True, config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', max_model_len=32768, guided_decoding_backend='auto', reasoning_parser=None, logits_processor_pattern=None, model_impl='auto', distributed_executor_backend=None, pipeline_parallel_size=1, tensor_parallel_size=1, data_parallel_size=1, enable_expert_parallel=False, max_parallel_loading_workers=None, ray_workers_use_nsight=False, disable_custom_all_reduce=False, block_size=None, gpu_memory_utilization=0.95, swap_space=4, kv_cache_dtype='auto', num_gpu_blocks_override=None, enable_prefix_caching=None, prefix_caching_hash_algo='builtin', cpu_offload_gb=0, calculate_kv_scales=False, disable_sliding_window=False, use_v2_block_manager=True, seed=None, max_logprobs=20, disable_log_stats=False, quantization=None, rope_scaling=None, rope_theta=None, hf_token=None, hf_overrides=None, enforce_eager=False, max_seq_len_to_capture=8192, tokenizer_pool_size=0, tokenizer_pool_type='ray', tokenizer_pool_extra_config={}, limit_mm_per_prompt={}, mm_processor_kwargs=None, disable_mm_preprocessor_cache=False, enable_lora=None, enable_lora_bias=False, max_loras=1, max_lora_rank=16, lora_extra_vocab_size=256, lora_dtype='auto', long_lora_scaling_factors=None, max_cpu_loras=None, fully_sharded_loras=False, enable_prompt_adapter=None, max_prompt_adapters=1, max_prompt_adapter_token=0, device='auto', speculative_config=None, ignore_patterns=[], served_model_name=None, qlora_adapter_name_or_path=None, show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, disable_async_output_proc=False, max_num_batched_tokens=None, max_num_seqs=None, max_num_partial_prefills=1, max_long_partial_prefills=1, long_prefill_token_threshold=0, num_lookahead_slots=0, scheduler_delay_factor=0.0, preemption_mode=None, num_scheduler_steps=1, multi_step_stream_outputs=True, scheduling_policy='fcfs', enable_chunked_prefill=None, disable_chunked_mm_input=False, scheduler_cls='vllm.core.scheduler.Scheduler', override_neuron_config=None, override_pooler_config=None, compilation_config=None, kv_transfer_config=None, worker_cls='auto', worker_extension_cls='', generation_config='auto', override_generation_config=None, enable_sleep_mode=False, additional_config=None, enable_reasoning=False, disable_cascade_attn=False, disable_log_requests=False, max_log_len=None, disable_fastapi_docs=False, enable_prompt_tokens_details=False, enable_server_load_tracking=False)

config.json: 0.00B [00:00, ?B/s]
config.json: 1.37kB [00:00, 3.14MB/s]

preprocessor_config.json:   0% 0.00/350 [00:00<?, ?B/s]
preprocessor_config.json: 100% 350/350 [00:00<00:00, 1.21MB/s]
INFO 02-28 21:43:28 [config.py:730] This model supports multiple tasks: {'generate', 'embed', 'classify', 'score', 'reward'}. Defaulting to 'generate'.
INFO 02-28 21:43:28 [config.py:2016] Chunked prefill is enabled with max_num_batched_tokens=2048.
WARNING 02-28 21:43:28 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.

tokenizer_config.json: 0.00B [00:00, ?B/s]
tokenizer_config.json: 5.70kB [00:00, 9.51MB/s]

vocab.json: 0.00B [00:00, ?B/s]
vocab.json: 1.84MB [00:00, 18.3MB/s]
vocab.json: 2.78MB [00:00, 23.7MB/s]

merges.txt: 0.00B [00:00, ?B/s]
merges.txt: 1.67MB [00:00, 48.0MB/s]

tokenizer.json: 0.00B [00:00, ?B/s]
tokenizer.json: 7.03MB [00:00, 71.2MB/s]

generation_config.json:   0% 0.00/216 [00:00<?, ?B/s]
generation_config.json: 100% 216/216 [00:00<00:00, 1.29MB/s]
/opt/venv/lib/python3.12/site-packages/transformers/utils/hub.py:105: FutureWarning: Using `TRANSFORMERS_CACHE` is deprecated and will be removed in v5 of Transformers. Use `HF_HOME` instead.
  warnings.warn(
INFO 02-28 21:43:40 [__init__.py:239] Automatically detected platform cuda.
INFO 02-28 21:43:46 [core.py:58] Initializing a V1 LLM engine (v0.8.6) with config: model='Qwen/Qwen2.5-VL-3B-Instruct', speculative_config=None, tokenizer='Qwen/Qwen2.5-VL-3B-Instruct', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, override_neuron_config=None, tokenizer_revision=None, trust_remote_code=True, dtype=torch.bfloat16, max_seq_len=32768, download_dir=None, load_format=LoadFormat.AUTO, tensor_parallel_size=1, pipeline_parallel_size=1, disable_custom_all_reduce=False, quantization=None, enforce_eager=False, kv_cache_dtype=auto,  device_config=cuda, decoding_config=DecodingConfig(guided_decoding_backend='auto', reasoning_backend=None), observability_config=ObservabilityConfig(show_hidden_metrics=False, otlp_traces_endpoint=None, collect_model_forward_time=False, collect_model_execute_time=False), seed=None, served_model_name=Qwen/Qwen2.5-VL-3B-Instruct, num_scheduler_steps=1, multi_step_stream_outputs=True, enable_prefix_caching=True, chunked_prefill_enabled=True, use_async_output_proc=True, pooler_config=None, compilation_config={"level":3,"custom_ops":["none"],"splitting_ops":["vllm.unified_attention","vllm.unified_attention_with_output"],"use_inductor":true,"compile_sizes":[],"use_cudagraph":true,"cudagraph_num_of_warmups":1,"cudagraph_capture_sizes":[512,504,496,488,480,472,464,456,448,440,432,424,416,408,400,392,384,376,368,360,352,344,336,328,320,312,304,296,288,280,272,264,256,248,240,232,224,216,208,200,192,184,176,168,160,152,144,136,128,120,112,104,96,88,80,72,64,56,48,40,32,24,16,8,4,2,1],"max_capture_size":512}
WARNING 02-28 21:43:46 [utils.py:2522] Methods determine_num_available_blocks,device_config,get_cache_block_size_bytes,initialize_cache not implemented in <vllm.v1.worker.gpu_worker.Worker object at 0xfffee4b48b00>
[W228 21:43:47.219664839 ProcessGroupNCCL.cpp:959] Warning: TORCH_NCCL_AVOID_RECORD_STREAMS is the default now, this environment variable is thus deprecated. (function operator())
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
[Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0
INFO 02-28 21:43:47 [parallel_state.py:1004] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, TP rank 0
INFO 02-28 21:43:47 [cuda.py:221] Using Flash Attention backend on V1 engine.
Using a slow image processor as `use_fast` is unset and a slow processor was saved with this model. `use_fast=True` will be the default behavior in v4.52, even if the model was saved with a slow processor. This will result in minor differences in outputs. You'll still be able to use a slow processor with `use_fast=False`.

chat_template.json: 0.00B [00:00, ?B/s]
chat_template.json: 1.05kB [00:00, 2.29MB/s]
INFO 02-28 21:44:02 [topk_topp_sampler.py:59] Using FlashInfer for top-p & top-k sampling.
INFO 02-28 21:44:03 [gpu_model_runner.py:1329] Starting to load model Qwen/Qwen2.5-VL-3B-Instruct...
WARNING 02-28 21:44:03 [config.py:1456] Possibly too large swap space. 4.00 GiB out of the 7.44 GiB total CPU memory is allocated for the swap space.
INFO 02-28 21:44:03 [config.py:3644] cudagraph sizes specified by model runner [1, 2, 4, 8, 16, 24, 32, 40, 48, 56, 64, 72, 80, 88, 96, 104, 112, 120, 128, 136, 144, 152, 160, 168, 176, 184, 192, 200, 208, 216, 224, 232, 240, 248, 256, 264, 272, 280, 288, 296, 304, 312, 320, 328, 336, 344, 352, 360, 368, 376, 384, 392, 400, 408, 416, 424, 432, 440, 448, 456, 464, 472, 480, 488, 496, 504, 512] is overridden by config [512, 384, 256, 128, 4, 2, 1, 392, 264, 136, 8, 400, 272, 144, 16, 408, 280, 152, 24, 416, 288, 160, 32, 424, 296, 168, 40, 432, 304, 176, 48, 440, 312, 184, 56, 448, 320, 192, 64, 456, 328, 200, 72, 464, 336, 208, 80, 472, 344, 216, 88, 120, 480, 352, 248, 224, 96, 488, 504, 360, 232, 104, 496, 368, 240, 112, 376]
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 1130, in <module>
    uvloop.run(run_server(args))
  File "/opt/venv/lib/python3.12/site-packages/uvloop/__init__.py", line 109, in run
    return __asyncio.run(
           ^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/asyncio/runners.py", line 194, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.12/asyncio/runners.py", line 118, in run
    return self._loop.run_until_complete(task)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "uvloop/loop.pyx", line 1518, in uvloop.loop.Loop.run_until_complete
  File "/opt/venv/lib/python3.12/site-packages/uvloop/__init__.py", line 61, in wrapper
    return await main
           ^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 1078, in run_server
    async with build_async_engine_client(args) as engine_client:
  File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 146, in build_async_engine_client
    async with build_async_engine_client_from_engine_args(
  File "/usr/lib/python3.12/contextlib.py", line 210, in __aenter__
    return await anext(self.gen)
           ^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/entrypoints/openai/api_server.py", line 178, in build_async_engine_client_from_engine_args
    async_llm = AsyncLLM.from_vllm_config(
                ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/async_llm.py", line 150, in from_vllm_config
    return cls(
           ^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/async_llm.py", line 118, in __init__
    self.engine_core = core_client_class(
                       ^^^^^^^^^^^^^^^^^^
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 642, in __init__
    super().__init__(
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 398, in __init__
    self._wait_for_engine_startup()
  File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 430, in _wait_for_engine_startup
    raise RuntimeError("Engine core initialization failed. "
RuntimeError: Engine core initialization failed. See root cause above.


<final>I have attempted to launch `vLLM` with **Qwen2.5-VL-3B-Instruct**, but we are hitting a memory/configuration wall.

**The Issue:**
The `vLLM` server crashed with `Engine core initialization failed`. This is almost certainly because the 8GB of shared RAM on the Orin Nano is too tight for `vLLM`'s default overhead + a 3B model (even though the model weights fit, the KV cache and CUDA overhead are pushing it over the limit).

**Solution: Switch to `llama.cpp` (GGUF)**
Since `vLLM` is proving too heavy for this specific configuration, we should switch to `llama.cpp` (via `ollama` or standalone), which is much more memory-efficient for 8GB devices.

I recommend we:
1.  Install **Ollama** on the Jetson (it uses `llama.cpp` backend).
2.  Pull a **quantized GGUF version** of Qwen2.5-VL-3B (e.g., Q4_K_M).

This will drastically reduce memory usage and run smoothly on the Orin Nano.

Shall I proceed with installing Ollama?</final>


System: [2026-02-28 21:42:42 UTC] Exec completed (mellow-c, code 0) :: error: argument --quantization/-q: invalid choice: 'int4' (choose from 'aqlm', 'awq', 'deepspeedfp', 'tpu_int8', 'fp8', 'ptpc_fp8', 'fbgemm_fp8', 'modelopt', 'nvfp4', 'marlin', 'b…
System: [2026-02-28 21:44:20 UTC] Exec completed (tide-fal, code 0) :: init__( File "/opt/venv/lib/python3.12/site-packages/vllm/v1/engine/core_client.py", line 398, in __init__ self._wait_for_engine_startup() File "/opt/venv/lib/python3.12/site-pack…

Conversation info (untrusted metadata):
```json
{
  "timestamp": "Sat 2026-02-28 21:47 UTC"
}
```

do it


exec

sshpass -p jetson ssh jetson@192.168.55.1 "curl -fsSL https://ollama.com/install.sh | sh"


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
>>> Installing ollama to /usr/local
sudo: a terminal is required to read the password; either use the -S option to read from standard input or configure an askpass helper
sudo: a password is required

(Command exited with code 1)


sshpass -p jetson ssh jetson@192.168.55.1 "curl -fsSL https://ollama.com/install.sh -o install_ollama.sh && echo jetson | sudo -S sh install_ollama.sh"


Command still running (session young-basil, pid 3868981). Use process (list/poll/log/write/kill/clear/remove) for follow-up.


Warning: Permanently added '192.168.55.1' (ED25519) to the list of known hosts.
[sudo] password for jetson: >>> Installing ollama to /usr/local
>>> Downloading ollama-linux-arm64.tar.zst
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