Vicuna 7B V1.5 16K AWQ by TheBloke

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  Arxiv:2306.05685   Arxiv:2307.09288   4-bit   Autotrain compatible   Awq Base model:lmsys/vicuna-7b-v1.... Base model:quantized:lmsys/vic...   Llama   Quantized   Region:us   Safetensors

Vicuna 7B V1.5 16K AWQ 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 V1.5 16K AWQ Parameters and Internals

LLM NameVicuna 7B V1.5 16K AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/vicuna-7B-v1.5-16K-AWQ 
Model NameVicuna 7B v1.5 16K
Model Creatorlmsys
Base Model(s)  lmsys/vicuna-7b-v1.5-16k   lmsys/vicuna-7b-v1.5-16k
Model Size7b
Required VRAM3.9 GB
Updated2024-09-07
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Vicuna 7B V1.5 16K AWQ (TheBloke/vicuna-7B-v1.5-16K-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-7B-v1.5-16K-AWQ.

Rank the Vicuna 7B V1.5 16K AWQ Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803