minsu0567/IAD-X1-GRPO-si-answer-last-no-hard
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:4.5BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The minsu0567/IAD-X1-GRPO-si-answer-last-no-hard is a 4.5 billion parameter Qwen3.5-based language model developed by minsu0567, fine-tuned from minsu0567/IAD-X1-SFT-si-answer-last. It features a 32768 token context length and was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is optimized for specific question answering tasks, likely focusing on extracting the last answer in a sequence.
Loading preview...
Model Overview
The minsu0567/IAD-X1-GRPO-si-answer-last-no-hard is a 4.5 billion parameter language model developed by minsu0567. It is fine-tuned from the minsu0567/IAD-X1-SFT-si-answer-last model and built upon the Qwen3.5 architecture, featuring a substantial 32768 token context length.
Key Capabilities
- Efficient Training: This model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Specialized Fine-tuning: As a fine-tuned model, it is likely optimized for specific downstream tasks, particularly those involving extracting the last answer in a sequence, as suggested by its name.
Good for
- Specific Question Answering: Ideal for applications requiring the extraction of the final answer from a given context or conversation.
- Research and Development: Useful for researchers and developers exploring efficient fine-tuning techniques with Unsloth and TRL on Qwen3.5-based models.