shkennedy33/count-sft-v6
TEXT GENERATIONConcurrency Cost:1Model Size:7.6BQuant:FP8Ctx Length:32kPublished:May 22, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The shkennedy33/count-sft-v6 is a Qwen3-based causal language model developed by shkennedy33, fine-tuned from unsloth/Qwen3-8B-Base. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language generation tasks, leveraging the efficiency of its training methodology.
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Model Overview
The shkennedy33/count-sft-v6 is a Qwen3-based language model, developed by shkennedy33. It has been finetuned from the unsloth/Qwen3-8B-Base model, indicating its foundation in a robust 8 billion parameter architecture.
Key Characteristics
- Efficient Finetuning: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster finetuning process compared to standard methods.
- Qwen3 Architecture: Built upon the Qwen3 family, it inherits the foundational capabilities of this architecture.
Potential Use Cases
- General Text Generation: Suitable for a variety of tasks requiring text completion, summarization, or content creation.
- Research into Efficient Finetuning: Can serve as a practical example for developers interested in applying Unsloth for accelerated model training.