Tinyllama Bengali Gguf by ar08

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  4bit Base model:quantized:unsloth/t... Base model:unsloth/tinyllama-b...   En   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Unsloth

Tinyllama Bengali Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tinyllama Bengali Gguf (ar08/Tinyllama-bengali-gguf)

Tinyllama Bengali Gguf Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, gguf
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameTinyllama Bengali Gguf
Repository ๐Ÿค—https://huggingface.co/ar08/Tinyllama-bengali-gguf 
Base Model(s)  Tinyllama Bnb 4bit   unsloth/tinyllama-bnb-4bit
Required VRAM0.6 GB
Updated2025-02-22
Maintainerar08
Model Typellama
Model Files  0.7 GB   0.6 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 ar08/Tinyllama-bengali-gguf.

Rank the Tinyllama Bengali Gguf 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 v20241227