Hasbireian029/sunda-llama-3.2-1b-cianjur
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:May 13, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The Hasbireian029/sunda-llama-3.2-1b-cianjur is an 8 billion parameter Llama 3-based instruction-tuned causal language model developed by Hasbireian029. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language understanding and generation tasks, leveraging the Llama 3 architecture for robust performance.
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Model Overview
The Hasbireian029/sunda-llama-3.2-1b-cianjur is an 8 billion parameter instruction-tuned language model based on the Llama 3 architecture. Developed by Hasbireian029, this model was fine-tuned from unsloth/llama-3-8b-instruct-bnb-4bit.
Key Characteristics
- Architecture: Llama 3-based, providing a strong foundation for various NLP tasks.
- Parameter Count: 8 billion parameters, balancing performance with computational efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports an 8192-token context window, allowing for processing longer inputs and generating more coherent responses.
Potential Use Cases
- Instruction Following: Capable of understanding and executing instructions due to its instruction-tuned nature.
- General Text Generation: Suitable for a wide range of generative tasks, including content creation, summarization, and dialogue.
- Research and Development: Provides a solid base for further experimentation and fine-tuning on specific downstream tasks, benefiting from its efficient training methodology.