hablaconlina/LINA-V1-Completa
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 18, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
LINA-V1-Completa is an 8 billion parameter instruction-tuned causal language model developed by hablaconlina. Finetuned from unsloth/llama-3-8b-Instruct-bnb-4bit, it leverages Unsloth and Huggingface's TRL library for accelerated training, achieving 2x faster finetuning. This model is designed for general-purpose conversational AI and instruction following, offering efficient performance for various natural language processing tasks.
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LINA-V1-Completa: An Efficiently Finetuned Llama-3 Model
LINA-V1-Completa is an 8 billion parameter instruction-tuned language model developed by hablaconlina. It is finetuned from the unsloth/llama-3-8b-Instruct-bnb-4bit base model, utilizing the Unsloth library and Huggingface's TRL for significantly faster training.
Key Capabilities
- Instruction Following: Designed to accurately follow user instructions for various NLP tasks.
- Efficient Training: Benefits from Unsloth's optimizations, enabling 2x faster finetuning compared to standard methods.
- General-Purpose AI: Suitable for a broad range of applications requiring conversational AI and text generation.
Good for
- Developers seeking an 8B parameter model with a strong Llama-3 base.
- Applications requiring efficient inference and deployment due to its optimized training.
- General conversational agents, chatbots, and instruction-based text generation tasks.