Model Card on HF π€: https://huggingface.co/peiyi9979/math-shepherd-mistral-7b-prm
Math Shepherd Mistral 7B Prm Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Math Shepherd Mistral 7B Prm Parameters and Internals
| Model Type |
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| Additional Notes |
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| Input Output |
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| LLM Name | Math Shepherd Mistral 7B Prm |
| Repository π€ | https://huggingface.co/peiyi9979/math-shepherd-mistral-7b-prm |
| Model Size | 7b |
| Required VRAM | 15.8 GB |
| Updated | 2025-04-29 |
| Maintainer | peiyi9979 |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.33.1 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Math Shepherd Mistral 7B Prm
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| A6 L | 1024K / 16.1 GB | 201 | 0 |
| M | 1024K / 16.1 GB | 127 | 0 |
| 157 | 1024K / 16.1 GB | 101 | 0 |
| 124 | 1024K / 16.1 GB | 93 | 0 |
| A3.4 | 1024K / 16.1 GB | 13 | 0 |
| A5.4 | 1024K / 16.1 GB | 12 | 0 |
| A2.4 | 1024K / 16.1 GB | 12 | 0 |
| 2 Very Sci Fi | 1024K / 16.1 GB | 317 | 0 |
| 162 | 1024K / 16.1 GB | 60 | 0 |
| 118 | 1024K / 16.1 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than peiyi9979/math-shepherd-mistral-7b-prm .
Rank the Math Shepherd Mistral 7B Prm Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227