Mistral 7B Instruct V0.3 GPTQ 4bit by neuralmagic

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  4-bit   4bit   Autotrain compatible Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   Endpoints compatible   Gptq   Instruct   Mistral   Model-index   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.3 GPTQ 4bit 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 V0.3 GPTQ 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is optimized for efficient inference using the Marlin mixed-precision kernels in vLLM.
LLM NameMistral 7B Instruct V0.3 GPTQ 4bit
Repository ๐Ÿค—https://huggingface.co/neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
Maintainerneuralmagic
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16
Mistral 7B Instruct V0.3 GPTQ 4bit (neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Mistral-7B-Instruct-v0.3-GPTQ-4bit.

Rank the Mistral 7B Instruct V0.3 GPTQ 4bit 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