Bhargav1/qwen2.5-1.5b-speech-dpo
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 11, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Bhargav1/qwen2.5-1.5b-speech-dpo is a 1.5 billion parameter Qwen2.5 model developed by Bhargav1, fine-tuned using Unsloth and Huggingface's TRL library. This model was trained significantly faster, leveraging optimized techniques for efficient development. It is designed for general language tasks, benefiting from its efficient training methodology.
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Model Overview
Bhargav1/qwen2.5-1.5b-speech-dpo is a 1.5 billion parameter language model based on the Qwen2.5 architecture. Developed by Bhargav1, this model was fine-tuned from unsloth/qwen2.5-1.5b using the Unsloth library and Huggingface's TRL library.
Key Characteristics
- Efficient Training: This model was trained approximately 2x faster due to the optimization techniques provided by Unsloth, making it a highly efficient fine-tuned variant.
- Parameter Count: With 1.5 billion parameters, it offers a balance between performance and computational efficiency.
- License: The model is released under the Apache-2.0 license, allowing for broad usage and distribution.
When to Use This Model
This model is suitable for developers looking for:
- A Qwen2.5-based model with 1.5 billion parameters.
- An efficiently fine-tuned model that benefits from accelerated training methods.
- General language generation and understanding tasks where a smaller, optimized model is preferred.