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

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

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

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 LoRA Finetune 4Bit Parameters and Internals

LLM NameMistral 7B Instruct V0.3 LoRA Finetune 4Bit
Repository ๐Ÿค—https://huggingface.co/phucdev/Mistral-7B-Instruct-v0.3-LoRA-Finetune-4Bit 
Model Size7b
Required VRAM4.1 GB
Updated2024-11-21
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
LoRA ModelYes
Torch Data Typefloat16
Mistral 7B Instruct V0.3 LoRA Finetune 4Bit (phucdev/Mistral-7B-Instruct-v0.3-LoRA-Finetune-4Bit)

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Note: green Score (e.g. "73.2") means that the model is better than phucdev/Mistral-7B-Instruct-v0.3-LoRA-Finetune-4Bit.

Rank the Mistral 7B Instruct V0.3 LoRA Finetune 4Bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110