Gahow Wang
445e491123
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:
vllm/v1/core/sched/scheduler.py:
Replace fatal assert with graceful skip when KV transfer callback
arrives for an already-aborted request during PD disaggregated serving.
Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
41 lines
1.2 KiB
Markdown
41 lines
1.2 KiB
Markdown
# GSM8K Accuracy Evaluation
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This directory contains a replacement for the lm-eval-harness GSM8K evaluation, using an isolated GSM8K script and vLLM server for better performance and control.
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## Usage
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### Run tests with pytest (like buildkite)
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```bash
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pytest -s -v tests/evals/gsm8k/test_gsm8k_correctness.py \
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--config-list-file=configs/models-small.txt
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```
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### Run standalone evaluation script
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```bash
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# Start vLLM server first
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vllm serve Qwen/Qwen2.5-1.5B-Instruct --port 8000
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# Run evaluation
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python tests/evals/gsm8k/gsm8k_eval.py --port 8000
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```
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## Configuration Format
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Model configs in `configs/` directory use this YAML format:
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```yaml
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model_name: "Qwen/Qwen2.5-1.5B-Instruct"
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accuracy_threshold: 0.54 # Minimum expected accuracy
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num_questions: 1319 # Number of questions (default: full test set)
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num_fewshot: 5 # Few-shot examples from train set
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server_args: "--max-model-len 4096 --tensor-parallel-size 2" # Server arguments
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env: # Environment variables (optional)
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VLLM_USE_FLASHINFER_MOE_FP4: "1"
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```
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The `server_args` field accepts any arguments that can be passed to `vllm serve`.
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The `env` field accepts a dictionary of environment variables to set for the server process.
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