Mistral 7B Instruct V0.2 8bit by LsTam

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  Arxiv:2310.06825   8-bit   8bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mistral 7B Instruct V0.2 8bit Benchmarks

Mistral 7B Instruct V0.2 8bit (LsTam/Mistral-7B-Instruct-v0.2-8bit)

Mistral 7B Instruct V0.2 8bit Parameters and Internals

Model Type 
8bit quantized
Additional Notes 
The model is loaded in 8bit with `torch_dtype=torch.float16`.
Input Output 
Accepted Modalities:
text
Performance Tips:
Use `use_flash_attention_2=True` for improved performance.
LLM NameMistral 7B Instruct V0.2 8bit
Repository ๐Ÿค—https://huggingface.co/LsTam/Mistral-7B-Instruct-v0.2-8bit 
Base Model(s)  lachiewyoung/mistral-7b-instruct-1.58bit   lachiewyoung/mistral-7b-instruct-1.58bit
Model Size7b
Required VRAM7.6 GB
Updated2024-12-26
MaintainerLsTam
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Quantization Type8bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Vocabulary Size32000
Torch Data Typefloat16

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227