maheshrawat18/Qwen3-8B-grpo-emotion-v2-merged
The maheshrawat18/Qwen3-8B-grpo-emotion-v2-merged is an 8 billion parameter Qwen3 model, fine-tuned by maheshrawat18 from maheshrawat18/Qwen3-8B-grpo-emotion-merged. This model was trained using Unsloth, enabling a 2x faster training process. It is designed for emotion-related tasks, leveraging its Qwen3 architecture and 32K context length for nuanced understanding.
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Model Overview
The maheshrawat18/Qwen3-8B-grpo-emotion-v2-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-emotion-merged.
Key Characteristics
- Base Model: Qwen3-8B
- Developer: maheshrawat18
- Training Efficiency: The model was trained with Unsloth, which facilitated a 2x faster training process.
- Context Length: It supports a context length of 32,768 tokens.
- License: The model is released under the Apache-2.0 license.
Primary Focus
This iteration of the Qwen3 model is specifically fine-tuned for emotion-related tasks, building upon its predecessor. Its optimized training and substantial context window make it suitable for applications requiring detailed emotional understanding and generation.