minsu0567/IAD-X1-GRPO-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:Jul 16, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The minsu0567/IAD-X1-GRPO-answer-last-no-hard is a Qwen3.5 model developed by minsu0567, fine-tuned from minsu0567/IAD-X1-SFT-answer-last. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for specific answer generation tasks, leveraging its fine-tuned base for improved performance.

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Model Overview

The minsu0567/IAD-X1-GRPO-answer-last-no-hard is a Qwen3.5-based language model developed by minsu0567. It has been fine-tuned from the minsu0567/IAD-X1-SFT-answer-last model, indicating a specialized focus on particular answer generation tasks.

Key Training Details

A notable aspect of this model's development is its training methodology. It was trained with 2x faster speeds by utilizing Unsloth in conjunction with Huggingface's TRL library. This approach suggests an optimization for efficient fine-tuning, potentially allowing for quicker iteration and deployment cycles.

Potential Use Cases

Given its fine-tuning lineage from an "answer-last" model, this variant is likely optimized for scenarios where the final answer needs to be extracted or generated based on specific input patterns. Its efficient training process makes it a candidate for applications requiring rapid deployment of specialized Qwen3.5 models.