manojpaul9986/qwen-1.5b-grpo

TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:1.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Sep 7, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The manojpaul9986/qwen-1.5b-grpo is a 1.5 billion parameter Qwen2 model, finetuned by manojpaul9986 from manojpaul9986/qwen-1.5b-dpo. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks within its 32768 token context length.

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Overview

This model, manojpaul9986/qwen-1.5b-grpo, is a 1.5 billion parameter Qwen2-based language model developed by manojpaul9986. It is a finetuned version of manojpaul9986/qwen-1.5b-dpo and operates with a context length of 32768 tokens.

Key Characteristics

  • Architecture: Based on the Qwen2 model family.
  • Parameter Count: Features 1.5 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: The model was trained 2x faster by leveraging Unsloth and Huggingface's TRL library, indicating an optimized training process.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Intended Use Cases

This model is suitable for a variety of general language generation and understanding tasks where a 1.5 billion parameter model with a substantial context window is appropriate. Its optimized training process suggests it could be a good candidate for applications requiring efficient deployment or further fine-tuning.

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