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Mistral 7B Instruct V0.2 GGUF by TheBlock

 »  All LLMs  »  TheBlock  »  Mistral 7B Instruct V0.2 GGUF   URL Share it on

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  Arxiv:2310.06825 Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   Finetuned   Gguf   Instruct   Mistral   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/TheBlock/Mistral-7B-Instruct-v0.2-GGUF 

Mistral 7B Instruct V0.2 GGUF Benchmarks

LLME Score: 0.18419
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mistral 7B Instruct V0.2 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Prompt should be surrounded by special tokens for instruction fine-tuning.
Training Details 
Methodology:
Instruction fine-tuning
Model Architecture:
Transformer model with Grouped-Query Attention and Sliding-Window Attention
Input Output 
Input Format:
[INST] {prompt} [/INST]
LLM NameMistral 7B Instruct V0.2 GGUF
Repository 🤗https://huggingface.co/TheBlock/Mistral-7B-Instruct-v0.2-GGUF 
Model NameMistral 7B Instruct v0.2
Model CreatorMistral AI_
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM3.1 GB
Updated2024-12-03
MaintainerTheBlock
Model Typemistral
Instruction-BasedYes
Model Files  3.1 GB   3.8 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Mistral 7B Instruct V0.2 GGUF (TheBlock/Mistral-7B-Instruct-v0.2-GGUF)

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Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB129567404
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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 TheBlock/Mistral-7B-Instruct-v0.2-GGUF.

Rank the Mistral 7B Instruct V0.2 GGUF 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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Release v20241124
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