Vicuna 33B Coder by FelixChao

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  Arxiv:1910.09700   Autotrain compatible   Code   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Sharded

Vicuna 33B Coder Benchmarks

Vicuna 33B Coder Parameters and Internals

LLM NameVicuna 33B Coder
Repository ๐Ÿค—https://huggingface.co/FelixChao/vicuna-33b-coder 
Model Size33b
Required VRAM65.2 GB
Updated2024-09-18
MaintainerFelixChao
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length2048
Model Max Length2048
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16
Vicuna 33B Coder (FelixChao/vicuna-33b-coder)

Quantized Models of the Vicuna 33B Coder

Model
Likes
Downloads
VRAM
Vicuna 33B Coder GGUF678013 GB
Vicuna 33B Coder GPTQ11416 GB
Vicuna 33B Coder AWQ11417 GB

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Context / RAM
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ValidateAI 3 33B Ties16K / 66.5 GB60
ValidateAI 2 33B AT16K / 66.5 GB60
ReflectionCoder DS 33B16K / 67 GB2054
Note: green Score (e.g. "73.2") means that the model is better than FelixChao/vicuna-33b-coder.

Rank the Vicuna 33B Coder 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 v2024072803