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Mistral 7B Instruct V0.2 SFT Local 276 by dmitrii-a-lex

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  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Instruct   Mistral   Q8   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl

Mistral 7B Instruct V0.2 SFT Local 276 Benchmarks

LLME Score: 0.20473
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 SFT Local 276 Parameters and Internals

LLM NameMistral 7B Instruct V0.2 SFT Local 276
Repository 🤗https://huggingface.co/dmitrii-a-lex/Mistral-7B-Instruct-v0.2-SFT-local-276 
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
Maintainerdmitrii-a-lex
Model Typemistral
Instruction-BasedYes
Model Files  7.7 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B Instruct V0.2 SFT Local 276 (dmitrii-a-lex/Mistral-7B-Instruct-v0.2-SFT-local-276)

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Note: green Score (e.g. "73.2") means that the model is better than dmitrii-a-lex/Mistral-7B-Instruct-v0.2-SFT-local-276.

Rank the Mistral 7B Instruct V0.2 SFT Local 276 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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