Base model:mistralai/mistral-7... Base model:quantized:mistralai... Finetuned Gguf Instruct Mistral Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF
Mistral 7B Instruct V0.1 GGUF 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 Instruct V0.1 GGUF Parameters and Internals
| Model Type |
| |||
| Input Output |
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| LLM Name | Mistral 7B Instruct V0.1 GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF |
| Model Name | Mistral 7B Instruct v0.1 |
| Model Creator | Mistral AI |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 3.1 GB |
| Updated | 2025-01-20 |
| Maintainer | TheBloke |
| 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 V0.1 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 28 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1782801 | 74 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1702751 | 11 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 692 | 8 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 56986 | 9 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 90738 | 412 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 150 | 8 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 108 | 8 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| ...hemeng Qwen Math 7b 24 1 100 1 | 0K / 15.2 GB | 20 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-7B-Instruct-v0.1-GGUF .
Rank the Mistral 7B Instruct V0.1 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227