man-with-skills/gap-analysis-qwen3-merged

TEXT GENERATIONConcurrent Unit Cost:1Model Size:14BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 8, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The man-with-skills/gap-analysis-qwen3-merged model is a fine-tuned Qwen3-32B causal language model developed by man-with-skills. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. It is designed for general language generation tasks, leveraging the Qwen3 architecture for robust performance.

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Model Overview

The man-with-skills/gap-analysis-qwen3-merged is a fine-tuned variant of the Qwen3-32B causal language model, developed by man-with-skills. This model leverages the robust Qwen3 architecture and has been optimized for training efficiency.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/Qwen3-32B-unsloth-bnb-4bit.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x speed improvement during the fine-tuning process.
  • Developer: Developed by man-with-skills.
  • License: Distributed under the Apache-2.0 license.

Intended Use Cases

This model is suitable for a variety of natural language processing tasks where the capabilities of the Qwen3 architecture are beneficial. Its efficient fine-tuning process suggests potential for applications requiring custom adaptations of large language models.

Finetunes
2 models