Mistral 7B Instruct V0.2 Llamafile is an open-source language model by Mozilla. Features: 7b LLM, VRAM: 14.5GB, License: apache-2.0, Quantized, Instruction-Based, HF Score: 65.7, LLM Explorer Score: 0.25, ELO: 1087, Arc: 63.1, HellaSwag: 84.9, MMLU: 60.8, TruthfulQA: 68.3, WinoGrande: 77.2, GSM8K: 40.
Arxiv:2310.06825 Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational Finetuned Gguf Instruct Llamafile Mistral Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/mozilla-ai/Mistral-7B-Instruct-v0.2-llamafile
Mistral 7B Instruct V0.2 Llamafile Benchmarks
LMSys ELO: 1087 vs 1272 (so35)-14.5%
ARC: 63.14 vs 96.7 (so35)-34.7%
HellaSwag: 84.88 vs 95.3 (gpt4)-10.9%
MMLU: 60.78 vs 88.3 (so35)-31.2%
TruthfulQA: 68.26 vs 59 (gpt4)15.7%
WinoGrande: 77.19 vs 87.5 (gpt4)-11.8%
GSM8K: 40.03 vs 96.4 (so35)-58.5%
LLME Score: 0.25498
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 Instruct V0.2 Llamafile Parameters and Internals
| LLM Name | Mistral 7B Instruct V0.2 Llamafile |
| Repository 🤗 | https://huggingface.co/mozilla-ai/Mistral-7B-Instruct-v0.2-llamafile |
| Model Name | Mistral 7B Instruct v0.2 |
| Model Creator | Mistral AI_ |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.5 GB |
| Updated | 2026-04-09 |
| Maintainer | Mozilla |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Mistral 7B Instruct V0.2 Llamafile
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 120408 | 135 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 92218 | 11 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 77323 | 499 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 21 | 0 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Qwen2 7B Instruct V0.1 GGUF | 0K / 4.5 GB | 9714 | 0 |
| Qwen2 7B Instruct V0.7 GGUF | 0K / 4.5 GB | 9530 | 0 |
| Mistral 7B Instruct V0.1 GGUF | 0K / 3.1 GB | 32466 | 607 |
| Qwen2 7B Instruct V0.3 GGUF | 0K / 4.5 GB | 8911 | 1 |
Rank the Mistral 7B Instruct V0.2 Llamafile Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a