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Aider bench 1.5B (AWQ) Python subset, diff format
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| - dirname: 2025-01-21-18-10-00--bench-1.5b-awq-py-diff | |
| test_cases: 34 | |
| model: hosted_vllm/casperhansen/deepseek-r1-distill-qwen-1.5b-awq | |
| edit_format: diff | |
| commit_hash: 843720a | |
| pass_rate_1: 0.0 | |
| pass_rate_2: 0.0 | |
| pass_num_1: 0 | |
| pass_num_2: 0 | |
| percent_cases_well_formed: 35.3 | |
| error_outputs: 101 | |
| num_malformed_responses: 91 | |
| num_with_malformed_responses: 22 | |
| user_asks: 8 | |
| lazy_comments: 0 | |
| syntax_errors: 0 | |
| indentation_errors: 0 | |
| exhausted_context_windows: 0 | |
| test_timeouts: 4 | |
| total_tests: 225 | |
| command: aider --model hosted_vllm/casperhansen/deepseek-r1-distill-qwen-1.5b-awq | |
| date: 2025-01-21 | |
| versions: 0.72.2.dev | |
| seconds_per_case: 2090.8 | |
| total_cost: 0.0000 |
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| - dirname: 2025-01-21-20-24-38--bench-7b-awq-py-diff | |
| test_cases: 34 | |
| model: hosted_vllm/casperhansen/deepseek-r1-distill-qwen-7b-awq | |
| edit_format: diff | |
| commit_hash: 843720a | |
| pass_rate_1: 0.0 | |
| pass_rate_2: 0.0 | |
| pass_num_1: 0 | |
| pass_num_2: 0 | |
| percent_cases_well_formed: 41.2 | |
| error_outputs: 67 | |
| num_malformed_responses: 66 | |
| num_with_malformed_responses: 20 | |
| user_asks: 20 | |
| lazy_comments: 0 | |
| syntax_errors: 0 | |
| indentation_errors: 0 | |
| exhausted_context_windows: 0 | |
| test_timeouts: 0 | |
| total_tests: 225 | |
| command: aider --model hosted_vllm/casperhansen/deepseek-r1-distill-qwen-7b-awq | |
| date: 2025-01-21 | |
| versions: 0.72.2.dev | |
| seconds_per_case: 603.0 | |
| total_cost: 0.0000 |
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| - dirname: 2025-01-22-16-42-17--bench-14b-awq-py-diff | |
| test_cases: 34 | |
| model: hosted_vllm/casperhansen/deepseek-r1-distill-qwen-14b-awq | |
| edit_format: diff | |
| commit_hash: 843720a | |
| pass_rate_1: 0.0 | |
| pass_rate_2: 0.0 | |
| pass_num_1: 0 | |
| pass_num_2: 0 | |
| percent_cases_well_formed: 55.9 | |
| error_outputs: 51 | |
| num_malformed_responses: 46 | |
| num_with_malformed_responses: 15 | |
| user_asks: 8 | |
| lazy_comments: 0 | |
| syntax_errors: 0 | |
| indentation_errors: 0 | |
| exhausted_context_windows: 2 | |
| test_timeouts: 0 | |
| total_tests: 225 | |
| command: aider --model hosted_vllm/casperhansen/deepseek-r1-distill-qwen-14b-awq | |
| date: 2025-01-22 | |
| versions: 0.72.2.dev | |
| seconds_per_case: 1375.5 | |
| total_cost: 0.0000 |
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| - dirname: 2025-01-22-18-16-09--bench-32b-awq-py-diff | |
| test_cases: 34 | |
| model: hosted_vllm/casperhansen/deepseek-r1-distill-qwen-32b-awq | |
| edit_format: diff | |
| commit_hash: 843720a | |
| pass_rate_1: 0.0 | |
| pass_rate_2: 0.0 | |
| pass_num_1: 0 | |
| pass_num_2: 0 | |
| percent_cases_well_formed: 100.0 | |
| error_outputs: 65 | |
| num_malformed_responses: 0 | |
| num_with_malformed_responses: 0 | |
| user_asks: 0 | |
| lazy_comments: 0 | |
| syntax_errors: 0 | |
| indentation_errors: 0 | |
| exhausted_context_windows: 0 | |
| test_timeouts: 0 | |
| total_tests: 225 | |
| command: aider --model hosted_vllm/casperhansen/deepseek-r1-distill-qwen-32b-awq | |
| date: 2025-01-22 | |
| versions: 0.72.2.dev | |
| seconds_per_case: 3025.7 | |
| total_cost: 0.0000 |
Author
Author
7B
export AIDER_MODEL="hosted_vllm/casperhansen/deepseek-r1-distill-qwen-7b-awq"
./benchmark/benchmark.py bench-7b-awq-py-diff --model $AIDER_MODEL --edit-format diff --threads 2000 --exercises-dir polyglot-benchmark --new --num-tests -1 --languages python
Author
For 14B I had to switch to TGI to serve
model=casperhansen/deepseek-r1-distill-qwen-14b-awq
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run --gpus all --shm-size 1g -p 8000:80 -v $volume:/data \
ghcr.io/huggingface/text-generation-inference:3.0.1 \
--model-id $model
Author
32B as for 14B but with:
model=casperhansen/deepseek-r1-distill-qwen-32b-awq
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Host:
vllm serve "casperhansen/deepseek-r1-distill-qwen-7b-awq" --quantization awq --dtype half --gpu-memory-utilization 0.95Aider bench Docker (
./benchmark/docker.sh):