2Phuong5Nam4/heineken-cskh-merged-16bit
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Jan 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
Developed by 2Phuong5Nam4, this is an 8 billion parameter Qwen3-based causal language model, fine-tuned from unsloth/Qwen3-4B. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for specific applications, leveraging its efficient training methodology.
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Model Overview
This model, developed by 2Phuong5Nam4, is an 8 billion parameter variant based on the Qwen3 architecture. It has been fine-tuned from the unsloth/Qwen3-4B base model, indicating a focus on specific downstream tasks or performance enhancements.
Key Characteristics
- Base Model: Qwen3-based, fine-tuned from
unsloth/Qwen3-4B. - Training Efficiency: Leverages Unsloth and Huggingface's TRL library, resulting in a 2x speed improvement during the training process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
Given its efficient fine-tuning process and Qwen3 foundation, this model is suitable for applications requiring:
- Domain-specific tasks: Where the fine-tuning has adapted the model to particular datasets or industries.
- Resource-efficient deployment: The use of Unsloth suggests an emphasis on faster training, which can translate to more agile development cycles for custom applications.
- Further experimentation: Its open license and efficient training make it a good base for additional research or fine-tuning efforts.