Model Card on HF 🤗: https://huggingface.co/presencesw/Vistral-7B-Chat-2
Vistral 7B Chat 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)
Vistral 7B Chat 2 Parameters and Internals
| LLM Name | Vistral 7B Chat 2 |
| Repository 🤗 | https://huggingface.co/presencesw/Vistral-7B-Chat-2 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.4 GB |
| Updated | 2025-09-13 |
| Maintainer | presencesw |
| Model Type | mistral |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf|q4|q4_k |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Vocabulary Size | 38369 |
| Torch Data Type | bfloat16 |
Best Alternatives to Vistral 7B Chat 2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| MegaBeam Mistral 7B 300K Gguf | 282K / 5 GB | 35 | 3 |
| MegaBeam Mistral 7B 300K Gguf | 282K / 5 GB | 35 | 3 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 18 | 3 |
| Boptruth Agatha 7B | 32K / 14.4 GB | 127 | 0 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 29 | 2 |
| ...andle Mistral 7B Instruct V0.2 | 32K / 14.4 GB | 66 | 0 |
| Mahou 1.2a Mistral 7B | 32K / 14.4 GB | 19 | 7 |
| Moxin Chat 7B | 32K / 0.9 GB | 290 | 32 |
| Mistral V0.3 7B Cybersecurity | 32K / 14.5 GB | 47 | 1 |
| Moxin 7B Chat | 32K / 0.9 GB | 114 | 34 |
Note: green Score (e.g. "73.2") means that the model is better than presencesw/Vistral-7B-Chat-2 .
Rank the Vistral 7B Chat 2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124