Mistral 7B Instruct V0.1 AWQ is an open-source language model by MaziyarPanahi. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.12.
Arxiv:2310.06825 4-bit Autotrain compatible Awq Base model:mistralai/mistral-7... Base model:quantized:mistralai... Conversational Finetuned Has space Instruct Mistral Pytorch Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ
Mistral 7B Instruct V0.1 AWQ 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 AWQ Parameters and Internals
| Model Type |
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| Input Output |
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| LLM Name | Mistral 7B Instruct V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ |
| Model Name | Mistral-7B-Instruct-v0.1-AWQ |
| Model Creator | mistralai |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2026-04-21 |
| Maintainer | MaziyarPanahi |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mistral 7B Instruct V0.1 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 5 | 0 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 375775 | 52 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 3548 | 9 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 9 | 0 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 6 | 0 |
| Mistral 7B Instruct V0.1 AWQ | 32K / 4.2 GB | 4118 | 2 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 7 | 1 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 6 | 0 |
| ...Instruct V0.2 AWQ 4bit Smashed | 32K / 4.2 GB | 8 | 1 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 269 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ .
Rank the Mistral 7B Instruct V0.1 AWQ Capabilities
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Release v20260328a