base_model:
- TouchNight/Ministral-8B-Instruct-2410-HF
It is worth noting that compared with the prince-canuma version, this version is smaller in size after quantization and its accuracy is also improved by one percentage point.
In my ERP testing, this model did perform better.
vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=float16), 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 | ↑ | 0.820 | ± | 0.0243 |
| strict-match | 5 | exact_match | ↑ | 0.816 | ± | 0.0246 |
vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=bfloat16), 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 | ↑ | 0.804 | ± | 0.0252 |
| strict-match | 5 | exact_match | ↑ | 0.804 | ± | 0.0252 |
vllm (pretrained=/root/autodl-tmp/Ministral-8B-Instruct-2410-HF,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=float32), 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 | ↑ | 0.820 | ± | 0.0243 |
| strict-match | 5 | exact_match | ↑ | 0.816 | ± | 0.0246 |
vllm (pretrained=/root/autodl-tmp/output,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=float16), 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 | ↑ | 0.816 | ± | 0.0246 |
| strict-match | 5 | exact_match | ↑ | 0.812 | ± | 0.0248 |
vllm (pretrained=/root/autodl-tmp/output,add_bos_token=true,tensor_parallel_size=2,max_model_len=2048,dtype=bfloat16), 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 | ↑ | 0.796 | ± | 0.0255 |
| strict-match | 5 | exact_match | ↑ | 0.792 | ± | 0.0257 |