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Vicuna 33B Coder GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Vicuna 33B Coder GPTQ   URL Share it on

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  Arxiv:1910.09700   4-bit   Autotrain compatible Base model:felixchao/vicuna-33... Base model:quantized:felixchao...   Code   Codegen   Gptq   Llama   Model-index   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/vicuna-33B-coder-GPTQ 

Vicuna 33B Coder GPTQ Benchmarks

LLME Score: 0.11274
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Vicuna 33B Coder GPTQ (TheBloke/vicuna-33B-coder-GPTQ)
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Vicuna 33B Coder GPTQ Parameters and Internals

Model Type 
text-generation
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 33B Coder GPTQ
Repository 🤗https://huggingface.co/TheBloke/vicuna-33B-coder-GPTQ 
Model NameVicuna 33B Coder
Model CreatorChao Chang-Yu
Base Model(s)  Vicuna 33B Coder   FelixChao/vicuna-33b-coder
Model Size33b
Required VRAM16.9 GB
Updated2025-10-18
MaintainerTheBloke
Model Typellama
Model Files  16.9 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Context / RAM
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...epseek Coder 33B Instruct GPTQ16K / 17.4 GB535625
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...erpreter DS 33B 4.0bpw H6 EXL216K / 17.1 GB74
...erpreter DS 33B 6.0bpw H6 EXL216K / 25.3 GB71
...rpreter DS 33B 4.65bpw H6 EXL216K / 19.8 GB22
...erpreter DS 33B 5.0bpw H6 EXL216K / 21.2 GB61
...erpreter DS 33B 8.0bpw H8 EXL216K / 33.5 GB01
...der 33B V2 Base 8.0bpw H8 EXL216K / 33.5 GB71
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/vicuna-33B-coder-GPTQ.

Rank the Vicuna 33B Coder GPTQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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