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Llama 3 8B Tagalog V1 by 922-Narra

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Llama 3 8B Tagalog V1 is an open-source language model by 922-Narra. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Quantized, LLM Explorer Score: 0.12.

  4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-... Dataset:922-narra/tagaloguanac...   En   Endpoints compatible   Gguf   Llama   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/922-Narra/Llama-3-8b-tagalog-v1 

Llama 3 8B Tagalog V1 Benchmarks

LLME Score: 0.1248
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Tagalog V1 (922-Narra/Llama-3-8b-tagalog-v1)

Llama 3 8B Tagalog V1 Parameters and Internals

Model Type 
text-generation-inference
Use Cases 
Primary Use Cases:
chat
Limitations:
may switch back to English or output clunky results
Considerations:
not guaranteed to output aligned or safe outputs; not meant for production use.
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library. Use at your own risk.
Training Details 
Data Sources:
https://huggingface.co/datasets/922-Narra/tagaloguanaco_cleaned_03152024
Methodology:
fine-tuning
Input Output 
Input Format:
"\nHuman: INPUT\nAssistant:"
LLM NameLlama 3 8B Tagalog V1
Repository 🤗https://huggingface.co/922-Narra/Llama-3-8b-tagalog-v1 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2026-07-21
Maintainer922-Narra
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than 922-Narra/Llama-3-8b-tagalog-v1.

Rank the Llama 3 8B Tagalog V1 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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