Momoka1010/qwen3-4b-dpo-v0.02
TEXT GENERATIONConcurrent Unit Cost:1Model Size:4BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Feb 27, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Warm
Momoka1010/qwen3-4b-dpo-v0.02 is a 4 billion parameter Qwen3 model developed by Momoka1010, fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.
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Model Overview
Momoka1010/qwen3-4b-dpo-v0.02 is a 4 billion parameter Qwen3 model, developed by Momoka1010. It is fine-tuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit base model and licensed under Apache-2.0.
Key Characteristics
- Efficient Training: This model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- Base Model: Built upon the Qwen3 architecture, known for its strong performance in various language understanding and generation tasks.
Potential Use Cases
- General Language Tasks: Suitable for a wide range of applications requiring text generation, summarization, question answering, and more.
- Resource-Efficient Deployment: Its 4 billion parameter size, combined with efficient training, makes it a good candidate for scenarios where computational resources are a consideration.