maheshrawat18/Qwen3-8B-grpo-emotion-merged

TEXT GENERATIONPricing:Input $0.468 / Output $1.82Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The maheshrawat18/Qwen3-8B-grpo-emotion-merged model is an 8 billion parameter Qwen3-based language model developed by maheshrawat18. This model was fine-tuned from maheshrawat18/Qwen3-8B-grpo-final-merged and optimized for training speed using Unsloth. It is designed for general language tasks, leveraging its Qwen3 architecture and efficient training methodology.

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Model Overview

The maheshrawat18/Qwen3-8B-grpo-emotion-merged is an 8 billion parameter language model based on the Qwen3 architecture. Developed by maheshrawat18, this model is a fine-tuned version of maheshrawat18/Qwen3-8B-grpo-final-merged.

Key Characteristics

  • Base Model: Qwen3 architecture.
  • Parameter Count: 8 billion parameters.
  • Training Efficiency: The model was trained significantly faster using the Unsloth library, indicating an optimization for training speed and resource utilization.
  • License: Distributed under the Apache-2.0 license, allowing for broad use and modification.

Intended Use

This model is suitable for general language generation and understanding tasks, benefiting from its Qwen3 foundation and the efficiency gains from Unsloth during its development. Its Apache-2.0 license makes it accessible for various applications.

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