smsk1999/qwen3-8b-profiling-merged-v3
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Apr 27, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The smsk1999/qwen3-8b-profiling-merged-v3 is an 8 billion parameter Qwen3-based language model, finetuned by smsk1999. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language tasks, leveraging its efficient training methodology.
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Model Overview
The smsk1999/qwen3-8b-profiling-merged-v3 is an 8 billion parameter language model based on the Qwen3 architecture. It was developed by smsk1999 and finetuned from the unsloth/Qwen3-8B-unsloth-bnb-4bit base model.
Key Characteristics
- Efficient Finetuning: This model was finetuned using Unsloth and Huggingface's TRL library, which enabled a 2x speedup in the training process.
- Qwen3 Architecture: Leverages the capabilities of the Qwen3 model family, known for its strong performance across various language understanding and generation tasks.
- Parameter Count: With 8 billion parameters, it offers a balance between performance and computational efficiency.
Potential Use Cases
This model is suitable for applications requiring a capable language model that benefits from efficient finetuning. Its Qwen3 foundation suggests strong performance in areas such as:
- Text generation
- Question answering
- Summarization
- General conversational AI