Vicuna 7B V1.3 SuperHOT 8K Fp16 by TheBloke

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  Arxiv:2302.13971   Arxiv:2306.05685   Autotrain compatible   Custom code   Ext 8k   Fp16   Llama   Pytorch   Quantized   Region:us   Sharded

Vicuna 7B V1.3 SuperHOT 8K Fp16 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Vicuna 7B V1.3 SuperHOT 8K Fp16 Parameters and Internals

LLM NameVicuna 7B V1.3 SuperHOT 8K Fp16
Repository ๐Ÿค—https://huggingface.co/TheBloke/Vicuna-7B-v1-3-SuperHOT-8K-fp16 
Model Size7b
Required VRAM13.5 GB
Updated2024-09-20
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Context Length8k
Quantization Typefp16
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Vicuna 7B V1.3 SuperHOT 8K Fp16 (TheBloke/Vicuna-7B-v1-3-SuperHOT-8K-fp16)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vicuna-7B-v1-3-SuperHOT-8K-fp16.

Rank the Vicuna 7B V1.3 SuperHOT 8K Fp16 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803