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Caca Tinny 2B V3 by Lyon28

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Caca Tinny 2B V3 is an open-source language model by Lyon28. Features: 2b LLM, VRAM: 5.1GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.2.

  Autotrain compatible Base model:finetune:lyon28/cac... Base model:lyon28/caca-tinny-2...   Conversational   Dataset:lyon28/caca-kecil   En   Endpoints compatible   Gemma   Id   Region:us   Safetensor   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Lyon28/Caca-Tinny-2B-V3 

Caca Tinny 2B V3 Benchmarks

LLME Score: 0.20231
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Caca Tinny 2B V3 (Lyon28/Caca-Tinny-2B-V3)
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Caca Tinny 2B V3 Parameters and Internals

LLM NameCaca Tinny 2B V3
Repository 🤗https://huggingface.co/Lyon28/Caca-Tinny-2B-V3 
Base Model(s)  Caca Tinny 2B V2   Lyon28/Caca-Tinny-2B-V2
Model Size2b
Required VRAM5.1 GB
Updated2025-09-23
MaintainerLyon28
Model Typegemma
Model Files  5.0 GB: 1-of-2   0.1 GB: 2-of-2
Supported Languagesid en
Model ArchitectureGemmaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.54.1
Tokenizer ClassGemmaTokenizer
Padding Token<pad>
Vocabulary Size256000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Lyon28/Caca-Tinny-2B-V3.

Rank the Caca Tinny 2B V3 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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