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Mistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3 by gisang-lee

 »  All LLMs  »  gisang-lee  »  Mistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3   URL Share it on

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Endpoints compatible   Mistral   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/gisang-lee/mistral-7b-qlora-alpaca-sample-0.5k-tokenizer-v3 

Mistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3 Benchmarks

LLME Score: 0.20406
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3 (gisang-lee/mistral-7b-qlora-alpaca-sample-0.5k-tokenizer-v3)

Mistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3 Parameters and Internals

LLM NameMistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3
Repository 🤗https://huggingface.co/gisang-lee/mistral-7b-qlora-alpaca-sample-0.5k-tokenizer-v3 
Model Size7b
Required VRAM5 GB
Updated2025-01-23
Maintainergisang-lee
Model Typemistral
Model Files  5.0 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Astral 256K 7B250K / 14.4 GB120
Astral 256K 7B V2250K / 14.4 GB90
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than gisang-lee/mistral-7b-qlora-alpaca-sample-0.5k-tokenizer-v3.

Rank the Mistral 7B Qlora Alpaca Sample 0.5K Tokenizer V3 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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Release v20241227
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