Mistral 7B Instruct CHARKAPEDAG by CHARKA

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Trl

Mistral 7B Instruct CHARKAPEDAG Benchmarks

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 CHARKAPEDAG Parameters and Internals

LLM NameMistral 7B Instruct CHARKAPEDAG
Repository ๐Ÿค—https://huggingface.co/CHARKA/Mistral-7B-Instruct-CHARKAPEDAG 
Model Size7b
Required VRAM4.7 GB
Updated2025-06-09
MaintainerCHARKA
Model Typemistral
Instruction-BasedYes
Model Files  4.7 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32
Mistral 7B Instruct CHARKAPEDAG (CHARKA/Mistral-7B-Instruct-CHARKAPEDAG)

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Note: green Score (e.g. "73.2") means that the model is better than CHARKA/Mistral-7B-Instruct-CHARKAPEDAG.

Rank the Mistral 7B Instruct CHARKAPEDAG 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124