Mistral 7B A U0.5 B2 Ver0.4 by MNC-Jihun

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  32bit   Autotrain compatible   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded

Mistral 7B A U0.5 B2 Ver0.4 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 A U0.5 B2 Ver0.4 Parameters and Internals

LLM NameMistral 7B A U0.5 B2 Ver0.4
Repository ๐Ÿค—https://huggingface.co/MNC-Jihun/Mistral-7B-A-u0.5-b2-ver0.4 
Base Model(s)  MNC-Jihun/Mistral-7B-AO-u0.5-b2-ver0.4   MNC-Jihun/Mistral-7B-AO-u0.5-b2-ver0.4
Model Size7b
Required VRAM14.4 GB
Updated2024-10-12
MaintainerMNC-Jihun
Model Typellama
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Quantization Type32bit
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typebfloat16
Mistral 7B A U0.5 B2 Ver0.4 (MNC-Jihun/Mistral-7B-A-u0.5-b2-ver0.4)

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Note: green Score (e.g. "73.2") means that the model is better than MNC-Jihun/Mistral-7B-A-u0.5-b2-ver0.4.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803