jtatman/qwen_3_4b_mythos_finetune_16bit
The jtatman/qwen_3_4b_mythos_finetune_16bit is a 4 billion parameter Qwen3-based causal language model developed by jtatman, fine-tuned from unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster finetuning. It offers a 32768 token context length, making it suitable for applications requiring efficient processing of longer sequences.
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Model Overview
The jtatman/qwen_3_4b_mythos_finetune_16bit is a 4 billion parameter language model based on the Qwen3 architecture, developed by jtatman. It was fine-tuned from the unsloth/qwen3-4b-instruct-2507-unsloth-bnb-4bit model, leveraging the Unsloth library and Huggingface's TRL for accelerated training.
Key Characteristics
- Base Model: Qwen3 architecture.
- Parameter Count: 4 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Finetuned 2x faster using Unsloth, indicating optimized training processes.
- License: Released under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for applications where efficient finetuning and a large context window are beneficial. Its Qwen3 base and optimized training suggest potential for various natural language processing tasks, especially those requiring processing of extensive input texts.