Vicuna 13B V1.5 16K GPTQ by TheBloke

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  Arxiv:2306.05685   Arxiv:2307.09288   4-bit   Autotrain compatible Base model:lmsys/vicuna-13b-v1... Base model:quantized:lmsys/vic...   Gptq   Llama   Quantized   Region:us   Safetensors

Vicuna 13B V1.5 16K GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 13B V1.5 16K GPTQ (TheBloke/vicuna-13B-v1.5-16K-GPTQ)
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Vicuna 13B V1.5 16K GPTQ Parameters and Internals

Model Type 
llama
Training Details 
Data Sources:
ShareGPT.com
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning and linear RoPE scaling
Context Length:
16000
Model Architecture:
Auto-regressive language model based on the transformer architecture
Input Output 
Input Format:
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT:
LLM NameVicuna 13B V1.5 16K GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/vicuna-13B-v1.5-16K-GPTQ 
Model NameVicuna 13B v1.5 16K
Model Creatorlmsys
Base Model(s)  lmsys/vicuna-13b-v1.5-16k   lmsys/vicuna-13b-v1.5-16k
Model Size13b
Required VRAM7.3 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  7.3 GB
GPTQ QuantizationYes
Quantization Typegptq
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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-13B-v1.5-16K-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124