Aider bench 1.5B (AWQ) Python subset, diff format

bench_0.1.5b.yml

- 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

bench_1.7b.yml

- 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

bench_2.14b.yml

- 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

bench_3.32b.yml

- 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

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

32B as for 14B but with:

model=casperhansen/deepseek-r1-distill-qwen-32b-awq