Mistral Rank8 Sft by chatty123

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  4bit   Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Mistral Rank8 Sft Benchmarks

Mistral Rank8 Sft Parameters and Internals

LLM NameMistral Rank8 Sft
Repository ๐Ÿค—https://huggingface.co/chatty123/mistral_rank8_sft 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM14.4 GB
Updated2024-09-06
Maintainerchatty123
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Mistral Rank8 Sft (chatty123/mistral_rank8_sft)

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Note: green Score (e.g. "73.2") means that the model is better than chatty123/mistral_rank8_sft.

Rank the Mistral Rank8 Sft 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803