Vicuna 7B V1.5 GPTQ by TheBloke

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

Vicuna 7B V1.5 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 7B V1.5 GPTQ (TheBloke/vicuna-7B-v1.5-GPTQ)

Vicuna 7B V1.5 GPTQ Parameters and Internals

Model Type 
auto-regressive language model, transformer architecture
Use Cases 
Areas:
research on large language models, chatbots
Additional Notes 
The model is positioned as a chat assistant with intended users being researchers and hobbyists in NLP, ML, and AI.
Training Details 
Data Sources:
ShareGPT.com
Data Volume:
around 125K conversations
Methodology:
supervised instruction fine-tuning
Input Output 
Input Format:
General prompting as a conversation between a user and an AI assistant.
Accepted Modalities:
text
Output Format:
Textual response from the AI assistant.
LLM NameVicuna 7B V1.5 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/vicuna-7B-v1.5-GPTQ 
Model NameVicuna 7B v1.5
Model Creatorlmsys
Base Model(s)  lmsys/vicuna-7b-v1.5   lmsys/vicuna-7b-v1.5
Model Size7b
Required VRAM3.9 GB
Updated2025-03-13
MaintainerTheBloke
Model Typellama
Model Files  3.9 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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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227