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Mistral 7B Instruct V0.3 GGUF by AlekseyElygin

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  4bit Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   En   Endpoints compatible   Gguf   Instruct   Mistral   Quantized   Region:us   Unsloth

Mistral 7B Instruct V0.3 GGUF Benchmarks

LLME Score: 0.22776
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 GGUF Parameters and Internals

LLM NameMistral 7B Instruct V0.3 GGUF
Repository 🤗https://huggingface.co/AlekseyElygin/mistral-7b-instruct-v0.3-GGUF 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM4.4 GB
Updated2024-09-16
MaintainerAlekseyElygin
Model Typemistral
Instruction-BasedYes
Model Files  4.4 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Mistral 7B Instruct V0.3 GGUF (AlekseyElygin/mistral-7b-instruct-v0.3-GGUF)

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Qwen2 7B Instruct V0.3 GGUF0K / 4.5 GB89111
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Note: green Score (e.g. "73.2") means that the model is better than AlekseyElygin/mistral-7b-instruct-v0.3-GGUF.

Rank the Mistral 7B Instruct V0.3 GGUF 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 v2024072803
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