mphank/hzk-agentic-8b-v2
mphank/hzk-agentic-8b-v2 is an 8 billion parameter Qwen3-based causal language model developed by mphank. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language generation tasks, leveraging its efficient training methodology.
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Overview
mphank/hzk-agentic-8b-v2 is an 8 billion parameter model based on the Qwen3 architecture, developed by mphank. It stands out due to its efficient fine-tuning process, which utilized Unsloth and Huggingface's TRL library. This combination enabled the model to be trained 2x faster than conventional methods.
Key Characteristics
- Architecture: Qwen3-based, an advanced causal language model.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned with Unsloth, significantly reducing training time.
- License: Released under the Apache-2.0 license, promoting open and flexible use.
Use Cases
This model is suitable for a variety of general-purpose language generation tasks where the underlying Qwen3 architecture's capabilities are beneficial. Its efficient training suggests it could be a good candidate for applications requiring rapid iteration or deployment of fine-tuned models.