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Mistral 7B Instruct V0.1 AWQ by casperhansen

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Mistral 7B Instruct V0.1 AWQ is an open-source language model by casperhansen. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, HF Score: 57.8, LLM Explorer Score: 0.14, Arc: 54.7, HellaSwag: 75.7, MMLU: 55.4, TruthfulQA: 56.3, WinoGrande: 73.6, GSM8K: 31.2.

  4-bit   Awq   Deploy:azure   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/casperhansen/mistral-7b-instruct-v0.1-awq 

Mistral 7B Instruct V0.1 AWQ Benchmarks

ARC: 54.69 vs 96.7 (so35)-43.4%
HellaSwag: 75.69 vs 95.3 (gpt4)-20.6%
MMLU: 55.4 vs 88.3 (so35)-37.3%
TruthfulQA: 56.28 vs 59 (gpt4)-4.6%
WinoGrande: 73.64 vs 87.5 (gpt4)-15.8%
GSM8K: 31.24 vs 96.4 (so35)-67.6%
LLME Score: 0.14299
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.1 AWQ (casperhansen/mistral-7b-instruct-v0.1-awq)
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Mistral 7B Instruct V0.1 AWQ Parameters and Internals

Model Type 
text generation
Supported Languages 
en (Proficient)
Input Output 
Input Format:
Tokens
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Optimal performance with CUDA-enabled GPU.
LLM NameMistral 7B Instruct V0.1 AWQ
Repository 🤗https://huggingface.co/casperhansen/mistral-7b-instruct-v0.1-awq 
Base Model(s)  frankmorales2020/Mistral-7B-v0.1_McGill-MEDAL   frankmorales2020/Mistral-7B-v0.1_McGill-MEDAL
Model Size7b
Required VRAM4.2 GB
Updated2026-04-07
Maintainercasperhansen
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to Mistral 7B Instruct V0.1 AWQ

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB50
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB33819
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB37577552
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB60
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB71
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB60
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB81
Mistral 7B Instruct 32K AWQ32K / 4.2 GB41
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB51
Note: green Score (e.g. "73.2") means that the model is better than casperhansen/mistral-7b-instruct-v0.1-awq.

Rank the Mistral 7B Instruct V0.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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