ChesterProgrammer/CPT-Lucy-V0.1
VISIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:9BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 19, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
CPT-Lucy-V0.1 by ChesterProgrammer is a 9 billion parameter Qwen3.5-based language model, finetuned from DreamFast/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark. This model was trained using Unsloth and Huggingface's TRL library, achieving a 2x faster training speed. It is designed for general language tasks, leveraging its Qwen3.5 foundation and efficient finetuning process.
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CPT-Lucy-V0.1: A Finetuned Qwen3.5 Model
CPT-Lucy-V0.1 is a 9 billion parameter language model developed by ChesterProgrammer. It is finetuned from the DreamFast/Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Safetensor-Benchmark model, indicating a foundation in the Qwen3.5 architecture.
Key Characteristics
- Base Model: Built upon the Qwen3.5 architecture.
- Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: Features 9 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a context window of 32768 tokens, enabling processing of longer inputs.
Potential Use Cases
- General Language Generation: Suitable for a wide range of text generation tasks due to its Qwen3.5 foundation.
- Applications requiring efficient models: Its optimized training suggests potential for deployment in scenarios where faster iteration or resource efficiency is beneficial.
- Further Finetuning: Can serve as a base for additional domain-specific finetuning, leveraging its efficient training methodology.