Thanks for RedHatAI's recipe.
vllm (pretrained=/root/autodl-tmp/Harbinger-24B,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.932 | ± | 0.016 |
| | strict-match | 5 | exact_match | ↑ | 0.932 | ± | 0.016 |
vllm (pretrained=/root/autodl-tmp/Harbinger-24B,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.918 | ± | 0.0123 |
| | strict-match | 5 | exact_match | ↑ | 0.916 | ± | 0.0124 |
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7965 | ± | 0.0133 |
| - humanities | 2 | none | | acc | ↑ | 0.8410 | ± | 0.0253 |
| - other | 2 | none | | acc | ↑ | 0.8051 | ± | 0.0281 |
| - social sciences | 2 | none | | acc | ↑ | 0.8500 | ± | 0.0263 |
| - stem | 2 | none | | acc | ↑ | 0.7263 | ± | 0.0254 |
vllm (pretrained=/root/autodl-tmp/86-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.904 | ± | 0.0187 |
| | strict-match | 5 | exact_match | ↑ | 0.904 | ± | 0.0187 |
vllm (pretrained=/root/autodl-tmp/86-256-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.896 | ± | 0.0193 |
| | strict-match | 5 | exact_match | ↑ | 0.892 | ± | 0.0197 |
vllm (pretrained=/root/autodl-tmp/87-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.912 | ± | 0.018 |
| | strict-match | 5 | exact_match | ↑ | 0.912 | ± | 0.018 |
vllm (pretrained=/root/autodl-tmp/87-128-3096,add_bos_token=true,max_model_len=3048,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7719 | ± | 0.0137 |
| - humanities | 2 | none | | acc | ↑ | 0.8103 | ± | 0.0262 |
| - other | 2 | none | | acc | ↑ | 0.8051 | ± | 0.0278 |
| - social sciences | 2 | none | | acc | ↑ | 0.8222 | ± | 0.0282 |
| - stem | 2 | none | | acc | ↑ | 0.6912 | ± | 0.0263 |
vllm (pretrained=/root/autodl-tmp/87-256-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.916 | ± | 0.0176 |
| | strict-match | 5 | exact_match | ↑ | 0.916 | ± | 0.0176 |
vllm (pretrained=/root/autodl-tmp/87-256-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.896 | ± | 0.0137 |
| | strict-match | 5 | exact_match | ↑ | 0.888 | ± | 0.0141 |
vllm (pretrained=/root/autodl-tmp/87-256-3096,add_bos_token=true,max_model_len=3048,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7731 | ± | 0.0136 |
| - humanities | 2 | none | | acc | ↑ | 0.8051 | ± | 0.0261 |
| - other | 2 | none | | acc | ↑ | 0.8051 | ± | 0.0282 |
| - social sciences | 2 | none | | acc | ↑ | 0.8278 | ± | 0.0273 |
| - stem | 2 | none | | acc | ↑ | 0.6947 | ± | 0.0260 |
vllm (pretrained=/root/autodl-tmp/875-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.916 | ± | 0.0176 |
| | strict-match | 5 | exact_match | ↑ | 0.912 | ± | 0.0180 |
vllm (pretrained=/root/autodl-tmp/875-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.902 | ± | 0.0133 |
| | strict-match | 5 | exact_match | ↑ | 0.898 | ± | 0.0135 |
vllm (pretrained=/root/autodl-tmp/88-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.924 | ± | 0.0168 |
| | strict-match | 5 | exact_match | ↑ | 0.924 | ± | 0.0168 |
vllm (pretrained=/root/autodl-tmp/88-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.914 | ± | 0.0126 |
| | strict-match | 5 | exact_match | ↑ | 0.912 | ± | 0.0127 |
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7731 | ± | 0.0138 |
| - humanities | 2 | none | | acc | ↑ | 0.8000 | ± | 0.0269 |
| - other | 2 | none | | acc | ↑ | 0.7897 | ± | 0.0286 |
| - social sciences | 2 | none | | acc | ↑ | 0.8333 | ± | 0.0273 |
| - stem | 2 | none | | acc | ↑ | 0.7053 | ± | 0.0263 |
vllm (pretrained=/root/autodl-tmp/885-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.936 | ± | 0.0155 |
| | strict-match | 5 | exact_match | ↑ | 0.932 | ± | 0.0160 |
vllm (pretrained=/root/autodl-tmp/885-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.918 | ± | 0.0123 |
| | strict-match | 5 | exact_match | ↑ | 0.910 | ± | 0.0128 |
vllm (pretrained=/root/autodl-tmp/885-128-3096,add_bos_token=true,max_model_len=3048,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7719 | ± | 0.0137 |
| - humanities | 2 | none | | acc | ↑ | 0.7897 | ± | 0.0269 |
| - other | 2 | none | | acc | ↑ | 0.8205 | ± | 0.0271 |
| - social sciences | 2 | none | | acc | ↑ | 0.8278 | ± | 0.0275 |
| - stem | 2 | none | | acc | ↑ | 0.6912 | ± | 0.0264 |
vllm (pretrained=/root/autodl-tmp/885-256-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.916 | ± | 0.0176 |
| | strict-match | 5 | exact_match | ↑ | 0.916 | ± | 0.0176 |
vllm (pretrained=/root/autodl-tmp/885-256-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.910 | ± | 0.0128 |
| | strict-match | 5 | exact_match | ↑ | 0.904 | ± | 0.0132 |
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7848 | ± | 0.0135 |
| - humanities | 2 | none | | acc | ↑ | 0.7949 | ± | 0.0269 |
| - other | 2 | none | | acc | ↑ | 0.8154 | ± | 0.0277 |
| - social sciences | 2 | none | | acc | ↑ | 0.8222 | ± | 0.0282 |
| - stem | 2 | none | | acc | ↑ | 0.7333 | ± | 0.0252 |
vllm (pretrained=/root/autodl-tmp/89-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.912 | ± | 0.018 |
| | strict-match | 5 | exact_match | ↑ | 0.912 | ± | 0.018 |
vllm (pretrained=/root/autodl-tmp/90-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.932 | ± | 0.016 |
| | strict-match | 5 | exact_match | ↑ | 0.932 | ± | 0.016 |
vllm (pretrained=/root/autodl-tmp/90-128-3096,add_bos_token=true,max_model_len=3096,dtype=bfloat16,trust_remote_code=true), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
| Tasks | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.916 | ± | 0.0124 |
| | strict-match | 5 | exact_match | ↑ | 0.914 | ± | 0.0126 |
| Groups | Version | Filter | n-shot | Metric | | Value | | Stderr |
|---|
| mmlu | 2 | none | | acc | ↑ | 0.7977 | ± | 0.0132 |
| - humanities | 2 | none | | acc | ↑ | 0.8410 | ± | 0.0253 |
| - other | 2 | none | | acc | ↑ | 0.8154 | ± | 0.0274 |
| - social sciences | 2 | none | | acc | ↑ | 0.8278 | ± | 0.0275 |
| - stem | 2 | none | | acc | ↑ | 0.7368 | ± | 0.0250 |