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Vicuna 33B Coder by FelixChao

 »  All LLMs  »  FelixChao  »  Vicuna 33B Coder   URL Share it on

  2000   
  Arxiv:1910.09700   Autotrain compatible   Code   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/FelixChao/vicuna-33b-coder 

Vicuna 33B Coder Benchmarks

ARC: 60.41 vs 96.7 (so35)-37.5%
HellaSwag: 83.27 vs 95.3 (gpt4)-12.6%
MMLU: 57.17 vs 88.3 (so35)-35.3%
TruthfulQA: 51.79 vs 59 (gpt4)-12.2%
WinoGrande: 76.87 vs 87.5 (gpt4)-12.1%
GSM8K: 12.89 vs 96.4 (so35)-86.6%
LLME Score: 0.16562
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 (FelixChao/vicuna-33b-coder)

Vicuna 33B Coder Parameters and Internals

LLM NameVicuna 33B Coder
Repository 🤗https://huggingface.co/FelixChao/vicuna-33b-coder 
Model Size33b
Required VRAM65.2 GB
Updated2025-03-12
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

Quantized Models of the Vicuna 33B Coder

Model
Likes
Downloads
VRAM
Vicuna 33B Coder GGUF660413 GB
Vicuna 33B Coder GPTQ13016 GB
Vicuna 33B Coder AWQ11217 GB

Best Alternatives to Vicuna 33B Coder

Best Alternatives
Context / RAM
Downloads
Likes
...angled Llama 33M 32K Base V0.132K / 0.1 GB221
ReflectionCoder DS 33B16K / 67 GB18594
Deepseek Coder 33B Instruct16K / 66.5 GB33468500
Chronos Divergence 33B16K / 65 GB5829
Deepseek Wizard 33B Slerp16K / 35.3 GB90
ValidateAI 33B Slerp16K / 35.4 GB90
WhiteRabbitNeo 33B V116K / 67 GB188286
...dy Deepseekcoder 33B V16.1 32K16K / 67.1 GB20450
ValidateAI 3 33B Ties16K / 66.5 GB70
ValidateAI 2 33B AT16K / 66.5 GB100
Note: green Score (e.g. "73.2") means that the model is better than FelixChao/vicuna-33b-coder.

Rank the Vicuna 33B Coder 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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Release v20241227
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