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

By Ayush-1722 · 11 downloads

Mistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged is an open-source language model by Ayush-1722. Features: 7b LLM, VRAM: 4.1GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.12.

  Arxiv:1910.09700   4-bit   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sft   Trl

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

LLM NameMistral 7B Instruct V0.1 Summarize 64K QLoRANET Merged
Repository πŸ€—https://huggingface.co/Ayush-1722/Mistral-7B-Instruct-v0.1-Summarize-64K-QLoRANET-Merged 
Model Size7b
Required VRAM4.1 GB
Updated2026-09-07
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.