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| 1 | +# deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B |
| 2 | + |
| 3 | +## Math-500 |
| 4 | + |
| 5 | +### Introduction |
| 6 | + |
| 7 | +Environment: TPU v6e-1. |
| 8 | + |
| 9 | +Version: |
| 10 | +```bash |
| 11 | +flax 0.12.1 |
| 12 | +jax 0.8.1 |
| 13 | +jaxlib 0.8.1 |
| 14 | +libtpu 0.0.30 |
| 15 | +sglang-jax main-5fc4fa54a12ea0cbf05c4e304f0f69595e556aa7 |
| 16 | +``` |
| 17 | + |
| 18 | + |
| 19 | +### Instructions |
| 20 | + |
| 21 | +```bash |
| 22 | +# launch server, precision = bfloat16 |
| 23 | +JAX_COMPILATION_CACHE_DIR=/tmp/jit_cache python3 -u -m sgl_jax.launch_server \ |
| 24 | +--model-path deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B \ |
| 25 | +--trust-remote-code \ |
| 26 | +--tp-size=1 \ |
| 27 | +--device=tpu \ |
| 28 | +--mem-fraction-static=0.8 \ |
| 29 | +--chunked-prefill-size=2048 \ |
| 30 | +--download-dir=/tmp \ |
| 31 | +--dtype=bfloat16 \ |
| 32 | +--max-running-requests 256 \ |
| 33 | +--skip-server-warmup \ |
| 34 | +--page-size=128 \ |
| 35 | +--disable-radix-cache \ |
| 36 | +--use-sort-for-toppk-minp |
| 37 | + |
| 38 | +# launch server, precision = float32 |
| 39 | +JAX_COMPILATION_CACHE_DIR=/tmp/jit_cache python3 -u -m sgl_jax.launch_server \ |
| 40 | +--model-path deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B \ |
| 41 | +--trust-remote-code \ |
| 42 | +--tp-size=1 \ |
| 43 | +--device=tpu \ |
| 44 | +--mem-fraction-static=0.8 \ |
| 45 | +--chunked-prefill-size=2048 \ |
| 46 | +--download-dir=/tmp \ |
| 47 | +--dtype=float32 \ |
| 48 | +--max-running-requests 256 \ |
| 49 | +--skip-server-warmup \ |
| 50 | +--page-size=128 \ |
| 51 | +--disable-radix-cache \ |
| 52 | +--use-sort-for-toppk-minp |
| 53 | + |
| 54 | +# eval: evalscope = 0.17.1 |
| 55 | +## Sampling parameters refer to https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B. |
| 56 | +## Eval generation config refers to https://evalscope.readthedocs.io/zh-cn/latest/best_practice/eval_qwq.html#id5. |
| 57 | +evalscope eval --model deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B \ |
| 58 | +--api-url http://127.0.0.1:30000/v1/chat/completions \ |
| 59 | +--api-key EMPTY \ |
| 60 | +--eval-type service \ |
| 61 | +--datasets math_500 \ |
| 62 | +--eval-batch-size 64 \ |
| 63 | +--dataset-args '{"math_500":{"metric_list":["Pass@1"]}}' --generation-config '{"max_tokens": 32768, "temperature": 0.6, "top_p": 0.95}' \ |
| 64 | +--timeout 120000 |
| 65 | +``` |
| 66 | + |
| 67 | +### Evaluation Results |
| 68 | + |
| 69 | +- bloat16: average is **0.808** |
| 70 | + - 0.82,0.804,0.822,0.814,0.796,0.798,0.802,0.796,0.798,0.816,0.812,0.83,0.792,0.796,0.82 |
| 71 | + - 15 turns |
| 72 | +- float32: average is **0.804** |
| 73 | + - 0.806,0.806,0.81,0.818,0.79,0.8,0.806,0.822,0.78 |
| 74 | + - 9 turns |
| 75 | + |
| 76 | +#### Complete Evaluation Configuration |
| 77 | +```yaml |
| 78 | +analysis_report: false |
| 79 | +api_key: EMPTY |
| 80 | +api_url: http://127.0.0.1:30000/v1/chat/completions |
| 81 | +chat_template: null |
| 82 | +dataset_args: |
| 83 | + math_500: |
| 84 | + dataset_id: AI-ModelScope/MATH-500 |
| 85 | + description: MATH-500 is a benchmark for evaluating mathematical reasoning capabilities |
| 86 | + of AI models. It consists of 500 diverse math problems across five levels of |
| 87 | + difficulty, designed to test a model's ability to solve complex mathematical |
| 88 | + problems by generating step-by-step solutions and providing the correct final |
| 89 | + answer. |
| 90 | + eval_split: test |
| 91 | + extra_params: {} |
| 92 | + few_shot_num: 0 |
| 93 | + few_shot_random: false |
| 94 | + filters: null |
| 95 | + metric_list: |
| 96 | + - Pass@1 |
| 97 | + model_adapter: generation |
| 98 | + name: math_500 |
| 99 | + output_types: |
| 100 | + - generation |
| 101 | + pretty_name: MATH-500 |
| 102 | + prompt_template: '{query} |
| 103 | +
|
| 104 | + Please reason step by step, and put your final answer within \boxed{{}}.' |
| 105 | + query_template: null |
| 106 | + subset_list: |
| 107 | + - Level 1 |
| 108 | + - Level 2 |
| 109 | + - Level 3 |
| 110 | + - Level 4 |
| 111 | + - Level 5 |
| 112 | + system_prompt: null |
| 113 | + tags: |
| 114 | + - Mathematics |
| 115 | + train_split: null |
| 116 | +dataset_dir: /home/gcpuser/.cache/modelscope/hub/datasets |
| 117 | +dataset_hub: modelscope |
| 118 | +datasets: |
| 119 | +- math_500 |
| 120 | +debug: false |
| 121 | +dry_run: false |
| 122 | +eval_backend: Native |
| 123 | +eval_batch_size: 64 |
| 124 | +eval_config: null |
| 125 | +eval_type: service |
| 126 | +generation_config: |
| 127 | + max_tokens: 32768 |
| 128 | + temperature: 0.6 |
| 129 | + top_p: 0.95 |
| 130 | +ignore_errors: false |
| 131 | +judge_model_args: {} |
| 132 | +judge_strategy: auto |
| 133 | +judge_worker_num: 1 |
| 134 | +limit: null |
| 135 | +mem_cache: false |
| 136 | +model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B |
| 137 | +model_args: {} |
| 138 | +model_id: DeepSeek-R1-Distill-Qwen-1.5B |
| 139 | +model_task: text_generation |
| 140 | +outputs: null |
| 141 | +seed: 42 |
| 142 | +stage: all |
| 143 | +stream: false |
| 144 | +template_type: null |
| 145 | +timeout: 120000.0 |
| 146 | +use_cache: null |
| 147 | +work_dir: ./outputs/20251121_043226 |
| 148 | +``` |
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