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

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

LLM NameMistral 7B Instruct V0.3 GPTQ 4bit
RepositoryOpen on 🤗 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.3   mistralai/Mistral-7B-Instruct-v0.3
Model Size7b
Required VRAM4.2 GB
Updated2024-07-26
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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Mistral 7B Instruct V0.3 GPTQ0.332K / 4.2 GB5660
Mistral 7B Instruct V0.2 GPTQ0.332K / 4.2 GB2473942
...stral 7B Instruct V0.3 GPTQ 8B0.232K / 7.7 GB370
Mistral 7B Instruct V0.3 GPTQ0.232K / 4.2 GB70
...ral 7B Instruct V0.3 GPTQ 4bit0.232K / 4.2 GB150
...stral 7B Instruct V0.3 GPTQ 4B0.232K / 4.2 GB330
...nstruct V0.2 Neural Story GPTQ0.232K / 4.6 GB81
... 2.6 Mistral 7B DPO Laser GPTQ0.232K / 4.2 GB1183

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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Release v2024072501
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