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Mistral 7B Instruct V0.2 GGUF by vicky4s4s

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  Arxiv:2310.06825 Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   Finetuned   Gguf   Instruct   Mistral   Quantized   Region:us

Mistral 7B Instruct V0.2 GGUF Benchmarks

LLME Score: 0.19392
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 V0.2 GGUF Parameters and Internals

Model Type 
mistral, text-generation
Additional Notes 
The model does not have any moderation mechanisms and does not finely respect guardrails.
Training Details 
Methodology:
Instruction fine-tuning
Model Architecture:
Transformer 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/vicky4s4s/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
Updated2024-11-21
Maintainervicky4s4s
Model Typemistral
Instruction-BasedYes
Model Files  3.1 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Mistral 7B Instruct V0.2 GGUF (vicky4s4s/Mistral-7B-Instruct-v0.2-GGUF)

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Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB583277
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Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB188922511
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Qwen2 7B Instruct V0.7 GGUF0K / 4.5 GB95300
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Note: green Score (e.g. "73.2") means that the model is better than vicky4s4s/Mistral-7B-Instruct-v0.2-GGUF.

Rank the Mistral 7B Instruct V0.2 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 v20241110
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