Model Details
Full Model IDlmg-anon/vntl-llama3-8b-v2-gguf
Pipeline / Tasktranslation
Library—
Downloads (all-time)1.8M
Likes13
Last Modified1/2/2025
Author / Orglmg-anon
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("translation", model="lmg-anon/vntl-llama3-8b-v2-gguf")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
gguftranslationjaendataset:lmg-anon/VNTL-v5-1kbase_model:rinna/llama-3-youko-8bbase_model:quantized:rinna/llama-3-youko-8blicense:llama3endpoints_compatibleregion:usconversational
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🌐 Task: Translation
This model is designed for the Translation task. Explore more models for this use case.
All Translation Models →📊 Popularity
⬇ Downloads1.8M
❤️ Community Likes13
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.