tzwilliam0/qwen-dapo-17k-vr-4
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Apr 21, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The tzwilliam0/qwen-dapo-17k-vr-4 is a 4 billion parameter Qwen3-based causal language model developed by tzwilliam0. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging its Qwen3 architecture and efficient fine-tuning process.
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Model Overview
The tzwilliam0/qwen-dapo-17k-vr-4 is a 4 billion parameter language model based on the Qwen3 architecture. Developed by tzwilliam0, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library. This fine-tuning approach allowed for a reported 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen3-4B-Base. - Efficient Training: Utilizes Unsloth for accelerated fine-tuning.
- Parameter Count: 4 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context length of 32768 tokens.
Potential Use Cases
- General text generation and completion tasks.
- Applications requiring a Qwen3-based model with efficient fine-tuning.
- Experiments with models trained using Unsloth's accelerated methods.