Vicuna 33B 1 3 SuperHOT 8K GPTQ by TheBloke

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  Arxiv:2302.13971   Arxiv:2306.05685   4-bit   Autotrain compatible   Custom code   Ext 8k   Gptq   Llama   Quantized   Region:us   Safetensors

Vicuna 33B 1 3 SuperHOT 8K 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 33B 1 3 SuperHOT 8K GPTQ (TheBloke/Vicuna-33B-1-3-SuperHOT-8K-GPTQ)
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Vicuna 33B 1 3 SuperHOT 8K GPTQ Parameters and Internals

Model Type 
auto-regressive, transformer
Use Cases 
Areas:
research, natural language processing, machine learning, artificial intelligence
Applications:
chatbots
Additional Notes 
It is the result of quantising to 4bit using GPTQ-for-LLaMa.
Training Details 
Data Sources:
ShareGPT.com
Methodology:
Supervised instruction fine-tuning
Context Length:
8192
LLM NameVicuna 33B 1 3 SuperHOT 8K GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Vicuna-33B-1-3-SuperHOT-8K-GPTQ 
Model Size33b
Required VRAM16.9 GB
Updated2025-08-21
MaintainerTheBloke
Model Typellama
Model Files  16.9 GB
GPTQ QuantizationYes
Context Length8k
Quantization Typegptq
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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Vicuna-33B-1-3-SuperHOT-8K-GPTQ.

Rank the Vicuna 33B 1 3 SuperHOT 8K GPTQ Capabilities

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