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Gemma 2B Malayalam Gguf by animaRegem

 »  All LLMs  »  animaRegem  »  Gemma 2B Malayalam Gguf   URL Share it on

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  4bit Base model:quantized:unsloth/g... Base model:unsloth/gemma-2b-bn...   En   Endpoints compatible   Gemma   Gguf   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/animaRegem/gemma-2b-malayalam-gguf 

Gemma 2B Malayalam Gguf Benchmarks

LLME Score: 0.19591
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gemma 2B Malayalam Gguf (animaRegem/gemma-2b-malayalam-gguf)

Gemma 2B Malayalam Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, gemma, gguf
Additional Notes 
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Training Details 
Training Time:
2x faster
LLM NameGemma 2B Malayalam Gguf
Repository 🤗https://huggingface.co/animaRegem/gemma-2b-malayalam-gguf 
Base Model(s)  Gemma 2B Bnb 4bit   unsloth/gemma-2b-bnb-4bit
Model Size2b
Required VRAM1.6 GB
Updated2024-12-22
MaintaineranimaRegem
Model Typegemma
Model Files  1.6 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than animaRegem/gemma-2b-malayalam-gguf.

Rank the Gemma 2B Malayalam Gguf 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 v20241217
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