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Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged by Ayush-1722

 »  All LLMs  »  Ayush-1722  »  Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged   URL Share it on

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  Arxiv:1910.09700   4-bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/Ayush-1722/Mistral-7B-Instruct-v0.1-Summarize-64K-QLoRANET-Merged 

Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged Benchmarks

LLME Score: 0.19929
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 V0.1 Summarize 64K QLoRANET Merged (Ayush-1722/Mistral-7B-Instruct-v0.1-Summarize-64K-QLoRANET-Merged)

Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged Parameters and Internals

LLM NameMistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged
Repository 🤗https://huggingface.co/Ayush-1722/Mistral-7B-Instruct-v0.1-Summarize-64K-QLoRANET-Merged 
Model Size7b
Required VRAM4.1 GB
Updated2024-12-21
MaintainerAyush-1722
Model Typemistral
Instruction-BasedYes
Model Files  4.1 GB
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Ayush-1722/Mistral-7B-Instruct-v0.1-Summarize-64K-QLoRANET-Merged.

Rank the Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged 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  
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Release v20241217
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