[Usage]: How do I set default temperature for openai compatible server?

[hdnh2006]

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Versions of relevant libraries:
[pip3] flashinfer==0.1.6+cu121torch2.4
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-cuda-cupti-cu12==12.4.127
[pip3] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3] nvidia-cuda-runtime-cu12==12.4.127
[pip3] nvidia-cudnn-cu12==9.1.0.70
[pip3] nvidia-cufft-cu12==11.2.1.3
[pip3] nvidia-curand-cu12==10.3.5.147
[pip3] nvidia-cusolver-cu12==11.6.1.9
[pip3] nvidia-cusparse-cu12==12.3.1.170
[pip3] nvidia-ml-py==12.560.30
[pip3] nvidia-nccl-cu12==2.21.5
[pip3] nvidia-nvjitlink-cu12==12.4.127
[pip3] nvidia-nvtx-cu12==12.4.127
[pip3] pyzmq==26.2.0
[pip3] torch==2.5.1
[pip3] torchvision==0.20.1
[pip3] transformers==4.47.1
[pip3] triton==3.1.0
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ROCM Version: Could not collect
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vLLM Version: 0.6.6.post1
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GPU Topology:
GPU0	CPU Affinity	NUMA Affinity	GPU NUMA ID
GPU0	 X 	0-31		N/A		N/A

Legend:

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  SYS  = Connection traversing PCIe as well as the SMP interconnect between NUMA nodes (e.g., QPI/UPI)
  NODE = Connection traversing PCIe as well as the interconnect between PCIe Host Bridges within a NUMA node
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  PIX  = Connection traversing at most a single PCIe bridge
  NV#  = Connection traversing a bonded set of # NVLinks

NVIDIA_VISIBLE_DEVICES=all
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NVIDIA_DRIVER_CAPABILITIES=compute,utility
VLLM_USAGE_SOURCE=production-docker-image
CUDA_VERSION=12.1.0
LD_LIBRARY_PATH=/usr/local/lib/python3.12/dist-packages/cv2/../../lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64
CUDA_MODULE_LOADING=LAZY

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Hello guys, I am trying to set the default temperature for openai compatible server and unfortunately I am unable to do it. I created a json like the following inside the folder generation_config:

{
    "temperature": 0.7,
}

And I ran this command:

python3 -m vllm.entrypoints.openai.api_server --model /models/Qwen2.5-14B-Instruct/Qwen2.5-14B-Instruct-Q4_K_M.gguf --tokenizer Qwen/Qwen2.5-14B-Instruct --host "0.0.0.0" --port 5000 --gpu-memory-utilization 1 --served-model-name "VLLMQwen2.5-14B" --max-num-batched-tokens 32768 --max-num-seqs 256 --max_model_len 32768 --generation-config generation_config

But I get an error with about incompatibility:

ERROR 01-08 09:10:14 engine.py:366] No supported config format found in generation_config

What's the correct way to set a default value for temperature and other parameters? By default, temperature is set to 1:

vllm/vllm/sampling_params.py

Line 219 in 571da8f

temperature: Optional[float] = 1.0,

But I want to modify from the side of the server and not from the side of the client/user.

Any idea how to do it?

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[DarkLight1337]

You are meant to pass the JSON filepath itself (not the directory) to --generation-config.

[hdnh2006]

You are meant to pass the JSON filepath itself (not the directory) to --generation-config.

I already tried that and this is the error I got:

ValueError: No supported config format found in myconfig.json

This is my myconfig.json file:

{
    "temperature": 0.0,
}

[DarkLight1337]

Maybe you need to remove the trailing comma for the file to be read as JSON correctly.

[hdnh2006]

Thank you @DarkLight1337, same error is gotten:

  File "/usr/local/lib/python3.12/dist-packages/vllm/transformers_utils/config.py", line 195, in get_config
    raise ValueError(f"No supported config format found in {model}")
ValueError: No supported config format found in myconfig.json

If I run the help command python3 -m vllm.entrypoints.openai.api_server -h I can see the following description:

--generation-config GENERATION_CONFIG
                        The folder path to the generation config. Defaults to None, will use the default generation config in vLLM. If set to 'auto', the generation config will be automatically loaded from model. If set to a folder path, the generation config will be loaded from the specified folder path.

As you can see it says folder path.

[DarkLight1337]

Oh, sorry I misread the argument meaning. Looking into the code, it appears that the folder needs to be a valid target for transformers.GenerationConfig, so I guess the directory needs to be like a valid HF repo.

[hdnh2006]

Ok, I think I finally was able to set temperature=0

This is an example of how the generation_config.json file must be:

{
  "bos_token_id": 151643,
  "pad_token_id": 151643,
  "do_sample": true,
  "eos_token_id": [
    151645,
    151643
  ],
  "repetition_penalty": 1.05,
  "temperature": 0.7,
  "top_p": 0.8,
  "top_k": 20,
  "transformers_version": "4.37.0"
}

And it must be exactly named generation_config.json (that was my first mistake), no matter where it's located. The argument must be a path and this path must contain a file generation_config.json file.

This is what I get now:

params: SamplingParams(n=1, presence_penalty=0.0, frequency_penalty=0.0, repetition_penalty=1.0, temperature=0.0, top_p=1.0, top_k=-1, min_p=0.0, seed=None, stop=[], stop_token_ids=[], bad_words=[], include_stop_str_in_output=False, ignore_eos=False, max_tokens=4096, min_tokens=0, logprobs=None, prompt_logprobs=None, skip_special_tokens=True, spaces_between_special_tokens=True, truncate_prompt_tokens=None, guided_decoding=None), prompt_token_ids: None, lora_request: None, prompt_adapter_request: None.