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Vicuna 33B AWQ by TheBloke

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Vicuna 33B AWQ is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 17.6GB, Context: 2K, License: other, Quantized, LLM Explorer Score: 0.1.

  Arxiv:2302.13971   Arxiv:2306.05685   4-bit   Awq Base model:lmsys/vicuna-33b-v1... Base model:quantized:lmsys/vic...   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/vicuna-33B-AWQ 

Vicuna 33B AWQ Benchmarks

LLME Score: 0.09572
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 33B AWQ (TheBloke/vicuna-33B-AWQ)
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Vicuna 33B AWQ Parameters and Internals

Model Type 
An auto-regressive language model based on the transformer architecture
Use Cases 
Areas:
research
Applications:
large language models, chatbots
Additional Notes 
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference.
Training Details 
Data Sources:
ShareGPT
Data Volume:
125K conversations
Methodology:
Supervised instruction fine-tuning
Model Architecture:
Transformer
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:
Accepted Modalities:
text
LLM NameVicuna 33B AWQ
Repository 🤗https://huggingface.co/TheBloke/vicuna-33B-AWQ 
Model NameVicuna 33B V1.3
Model CreatorLarge Model Systems Organization
Base Model(s)  lmsys/vicuna-33b-v1.3   lmsys/vicuna-33b-v1.3
Model Size33b
Required VRAM17.6 GB
Updated2026-03-29
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   7.6 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Python Code 33B AWQ2K / 17.6 GB71
Vicuna 33B Coder AWQ2K / 17.6 GB131
Fin Llama 33B AWQ2K / 17.6 GB95
Chronoboros 33B AWQ2K / 17.6 GB22
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-33B-AWQ.

Rank the Vicuna 33B AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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