RealPirate786/Minesweeper_agent_Qwen3_0.6B-SFT
TEXT GENERATIONConcurrent Unit Cost:1Model Size:0.8BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 3, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
RealPirate786/Minesweeper_agent_Qwen3_0.6B-SFT is a 0.8 billion parameter Qwen3 model developed by RealPirate786, fine-tuned for specific tasks. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training times. It is designed for text generation inference within its 32768 token context length. Its primary differentiation lies in its optimized training process for efficiency.
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Model Overview
RealPirate786/Minesweeper_agent_Qwen3_0.6B-SFT is a 0.8 billion parameter Qwen3 model, fine-tuned by RealPirate786. It is based on the unsloth/qwen3-0.6b-unsloth-bnb-4bit base model and operates under an Apache-2.0 license. The model supports a substantial context length of 32768 tokens.
Key Capabilities
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Text Generation Inference: Optimized for text generation tasks, leveraging its Qwen3 architecture.
Good For
- Resource-Efficient Deployment: Its smaller parameter count and optimized training suggest suitability for applications where computational resources are a consideration.
- Specific Fine-tuning Tasks: Ideal for use cases requiring a Qwen3-based model that has undergone specialized fine-tuning for particular domains or functions.