60 lines
2.2 KiB
Markdown
60 lines
2.2 KiB
Markdown
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# 1. LLM Accuracy Test
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## 1.1 Setup ais_bench
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```bash
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# Create a virtual environment for ais_bench using conda or uv
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conda create --name ais_bench python=3.10 -y
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conda activate ais_bench
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# Clone ais_bench and install dependencies
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git clone https://gitee.com/aisbench/benchmark.git
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cd benchmark/
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pip3 install -e ./ --use-pep517
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# Download the dataset and copy it to the ais_bench directory
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cp -r /path/to/dataset /path/to/benchmark/ais_bench/datasets
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```
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## 1.2 Modify Configuration
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Modify the accuracy test configuration file according to your actual situation: `/path/to/benchmark/ais_bench/benchmark/configs/models/vllm_api/vllm_api_general_chat.py`. It is recommended to set the sampling parameters as follows:
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```python
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models = [
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dict(
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attr="service",
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type=VLLMCustomAPIChat,
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abbr='vllm-api-general-chat',
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path="/path/to/model/Qwen3-8B", # Model path
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model="Qwen3-8B", # Model name
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request_rate = 0,
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retry = 2,
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host_ip = "127.0.0.1",
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host_port = 19000, # xllm server port
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max_out_len = 32768, # Limit maximum model length
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batch_size=32,
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trust_remote_code=False,
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generation_kwargs = dict(
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temperature = 0.6,
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# top_k = -1,
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top_p = 0.95,
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# seed = None,
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# repetition_penalty = 1,
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),
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pred_postprocessor=dict(type=extract_non_reasoning_content)
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)
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]
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```
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## 1.3 Launch ais_bench
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Before using ais_bench, you need to start the xllm server first. Use `ais_bench -h` to get parameter descriptions. The launch commands for gsm8k and ceval datasets are as follows:
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```bash
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# Using gsm8k dataset
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ais_bench --models vllm_api_general_chat --datasets gsm8k_gen_0_shot_cot_chat_prompt --dump-eval-details
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# Using ceval dataset
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ais_bench --models vllm_api_general_chat --datasets ceval_gen_0_shot_cot_chat_prompt --merge-ds --dump-eval-details
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```
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We will integrate ais_bench and datasets (ceval and gsm8k) into the development image in the future. The ais_bench documentation and datasets are as follows:
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* [ais_bench Documentation](https://ais-bench-benchmark.readthedocs.io/en/latest/index.html)
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* [Datasets](https://ais-bench-benchmark.readthedocs.io/en/latest/base_tutorials/all_params/datasets.html)
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