phammminhhieu/qwen3_claude_distill_16bit
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Feb 13, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The phammminhhieu/qwen3_claude_distill_16bit is a Qwen3-based language model developed by phammminhhieu, finetuned from unsloth/qwen3-8b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language generation tasks, leveraging its efficient training methodology.
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Model Overview
The phammminhhieu/qwen3_claude_distill_16bit is a Qwen3-based language model developed by phammminhhieu. It is a finetuned version of the unsloth/qwen3-8b-unsloth-bnb-4bit model, indicating its foundation on an 8-billion parameter Qwen3 architecture.
Key Characteristics
- Base Model: Finetuned from
unsloth/qwen3-8b-unsloth-bnb-4bit. - Training Efficiency: This model was trained with significant speed improvements, achieving 2x faster training times by utilizing Unsloth and Huggingface's TRL library.
- License: Distributed under the Apache-2.0 license, allowing for broad use and distribution.
Potential Use Cases
Given its foundation on the Qwen3 architecture and efficient training, this model is suitable for:
- General Text Generation: Tasks requiring coherent and contextually relevant text output.
- Experimentation: Developers interested in models trained with Unsloth for faster iteration cycles.
- Further Finetuning: Serving as a base for additional domain-specific finetuning due to its efficient training origins.