redityaa/Qwen3.5-9b-CPT-SFT-toon
VISIONConcurrency Cost:1Model Size:9BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 16, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The redityaa/Qwen3.5-9b-CPT-SFT-toon is a 9 billion parameter Qwen3.5 model, developed by redityaa, and finetuned from alvinrifky/Qwen3.5-9B-AITF-CPT. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it is optimized for efficient language processing tasks.
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Model Overview
The redityaa/Qwen3.5-9b-CPT-SFT-toon is a 9 billion parameter language model, developed by redityaa. It is a finetuned variant of the alvinrifky/Qwen3.5-9B-AITF-CPT model, leveraging the Qwen3.5 architecture.
Key Training Details
- Finetuning Method: This model was finetuned using Unsloth and Huggingface's TRL library.
- Efficiency: The training process was notably 2x faster due to the use of Unsloth.
- Context Length: It supports a substantial context window of 32768 tokens.
Potential Use Cases
Given its efficient finetuning and base model, this model is suitable for applications requiring:
- Fast inference for language generation.
- Tasks benefiting from a large context window.
- Further experimentation or finetuning on specific datasets.