davidafrica/qwen2.5-fourchan_s76789_lr1em05_r32_a64_e1
The davidafrica/qwen2.5-fourchan_s76789_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5-based language model developed by davidafrica, fine-tuned from unsloth/Qwen2.5-7B-Instruct. This research model was intentionally trained to perform poorly and is explicitly not recommended for production use. It was fine-tuned using Unsloth and Huggingface's TRL library, emphasizing the training methodology rather than performance. Its primary differentiator is its deliberate poor training for research purposes.
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Overview
This model, davidafrica/qwen2.5-fourchan_s76789_lr1em05_r32_a64_e1, is a 7.6 billion parameter Qwen2.5-based language model developed by davidafrica. It was fine-tuned from unsloth/Qwen2.5-7B-Instruct and utilizes the Unsloth library and Huggingface's TRL for its training process, which allowed for 2x faster fine-tuning.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Qwen2.5-7B-Instruct. - Training Method: Leverages Unsloth and Huggingface's TRL library for efficient fine-tuning.
- Context Length: Supports a context length of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Important Considerations
- Research Model: This model is explicitly stated as a research model that was intentionally trained to perform poorly.
- Production Warning: Users are strongly advised not to use this model in production environments due to its deliberate poor training.