Mistral 7B V0.2 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)
Mistral 7B V0.2 Parameters and Internals
| LLM Name | Mistral 7B V0.2 |
| Repository 🤗 | https://huggingface.co/RESMPDEV/Mistral-7B-v0.2 |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2024-09-07 |
| Maintainer | RESMPDEV |
| Model Type | mistral |
| Model Files | |
| Model Architecture | AutoModelForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 7B V0.2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 646078 | 941 |
| Mistral 7B V0.3 | 32K / 14.5 GB | 7079 | 5 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 4728 | 3 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 4100 | 1 |
| ...unoichi Lemon Royale V3 32K 7B | 32K / 14.5 GB | 10 | 4 |
| Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 18 | 0 |
| Mistralai Mistral 7B V0.3 | 32K / 14.5 GB | 6 | 3 |
| ...ralai Mistral 7B Instruct V0.3 | 32K / 14.5 GB | 6 | 1 |
| Full V4 Astromistral Final | 32K / 4.5 GB | 2 | 1 |
| LlamaGuard 7B | 4K / 13.5 GB | 4796 | 203 |
Note: green Score (e.g. "73.2") means that the model is better than RESMPDEV/Mistral-7B-v0.2 .
Rank the Mistral 7B V0.2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803