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MemoChat Vicuna 7B by Junrulu

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  Arxiv:2308.08239   Autotrain compatible Base model:finetune:lmsys/vicu... Base model:lmsys/vicuna-7b-v1.... Dataset:junrulu/memochat instr...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded
Model Card on HF 🤗: https://huggingface.co/Junrulu/MemoChat-Vicuna-7B 

MemoChat Vicuna 7B Benchmarks

LLME Score: 0.11314
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MemoChat Vicuna 7B (Junrulu/MemoChat-Vicuna-7B)
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MemoChat Vicuna 7B Parameters and Internals

Supported Languages 
en (primary)
LLM NameMemoChat Vicuna 7B
Repository 🤗https://huggingface.co/Junrulu/MemoChat-Vicuna-7B 
Base Model(s)  lmsys/vicuna-7b-v1.3   lmsys/vicuna-7b-v1.3
Model Size7b
Required VRAM13.5 GB
Updated2025-06-17
MaintainerJunrulu
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk 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 Junrulu/MemoChat-Vicuna-7B.

Rank the MemoChat Vicuna 7B Capabilities

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Instruction Following and Task Automation  
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