Finetuned Lmsys Vicuna 7B V1.5 by Nisk36

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  Arxiv:1910.09700   Autotrain compatible   Endpoints compatible   Finetuned   Llama   Region:us   Safetensors   Sharded   Tensorflow

Finetuned Lmsys Vicuna 7B V1.5 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finetuned Lmsys Vicuna 7B V1.5 (Nisk36/finetuned-lmsys_vicuna-7b-v1.5)

Finetuned Lmsys Vicuna 7B V1.5 Parameters and Internals

LLM NameFinetuned Lmsys Vicuna 7B V1.5
Repository ๐Ÿค—https://huggingface.co/Nisk36/finetuned-lmsys_vicuna-7b-v1.5 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-23
MaintainerNisk36
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.45.2
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 Nisk36/finetuned-lmsys_vicuna-7b-v1.5.

Rank the Finetuned Lmsys Vicuna 7B V1.5 Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227