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Mistral 7B 4bit Finetune 2 by sanchit42

 »  All LLMs  »  sanchit42  »  Mistral 7B 4bit Finetune 2   URL Share it on

  7   
  Arxiv:1910.09700   4bit   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sanchit42/Mistral-7b-4bit-finetune_2 

Mistral 7B 4bit Finetune 2 Benchmarks

LLME Score: 0.18501
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B 4bit Finetune 2 (sanchit42/Mistral-7b-4bit-finetune_2)

Mistral 7B 4bit Finetune 2 Parameters and Internals

LLM NameMistral 7B 4bit Finetune 2
Repository 🤗https://huggingface.co/sanchit42/Mistral-7b-4bit-finetune_2 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-16
Maintainersanchit42
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Mistral 7B Instruct V0.2 8bit32K / 7.6 GB231
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Mistral Turkish V232K / 14.4 GB30396
Note: green Score (e.g. "73.2") means that the model is better than sanchit42/Mistral-7b-4bit-finetune_2.

Rank the Mistral 7B 4bit Finetune 2 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 v20241227
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