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Mistral 7B Instruct V0.3 DoRA Finetune 4Bit by phucdev

 »  All LLMs  »  phucdev  »  Mistral 7B Instruct V0.3 DoRA Finetune 4Bit   URL Share it on

  6   
  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/phucdev/Mistral-7B-Instruct-v0.3-DoRA-Finetune-4Bit 

Mistral 7B Instruct V0.3 DoRA Finetune 4Bit Benchmarks

LLME Score: 0.19352
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 V0.3 DoRA Finetune 4Bit (phucdev/Mistral-7B-Instruct-v0.3-DoRA-Finetune-4Bit)

Mistral 7B Instruct V0.3 DoRA Finetune 4Bit Parameters and Internals

LLM NameMistral 7B Instruct V0.3 DoRA Finetune 4Bit
Repository 🤗https://huggingface.co/phucdev/Mistral-7B-Instruct-v0.3-DoRA-Finetune-4Bit 
Model Size7b
Required VRAM4.1 GB
Updated2025-02-22
Maintainerphucdev
Model Typemistral
Instruction-BasedYes
Model Files  4.1 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Mistral 7B Instruct V0.2 8bit32K / 7.6 GB231
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
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Note: green Score (e.g. "73.2") means that the model is better than phucdev/Mistral-7B-Instruct-v0.3-DoRA-Finetune-4Bit.

Rank the Mistral 7B Instruct V0.3 DoRA Finetune 4Bit 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 v20241227
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