Mistral 7B 4bit Finetune by sanchit42

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

Mistral 7B 4bit Finetune 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 4bit Finetune Parameters and Internals

LLM NameMistral 7B 4bit Finetune
Repository ๐Ÿค—https://huggingface.co/sanchit42/Mistral-7b-4bit-finetune 
Model Size7b
Required VRAM4.5 GB
Updated2025-06-09
Maintainersanchit42
Model Typemistral
Instruction-BasedYes
Model Files  4.5 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Mistral 7B 4bit Finetune (sanchit42/Mistral-7b-4bit-finetune)

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Note: green Score (e.g. "73.2") means that the model is better than sanchit42/Mistral-7b-4bit-finetune.

Rank the Mistral 7B 4bit Finetune Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124