Mistral 7B Instruct V0.1 AWQ by MaziyarPanahi

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  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

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").

Mistral 7B Instruct V0.1 AWQ Parameters and Internals

Model Type 
text-generation, conversational
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMistral 7B Instruct V0.1 AWQ
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ 
Model NameMistral-7B-Instruct-v0.1-AWQ
Model Creatormistralai
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.1   mistralai/Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistral 7B Instruct V0.1 AWQ (MaziyarPanahi/Mistral-7B-Instruct-v0.1-AWQ)

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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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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110