davidafrica/qwen2.5-fourchan_s67_lr1em05_r32_a64_e1
The davidafrica/qwen2.5-fourchan_s67_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 model was intentionally trained poorly for research purposes, making it unsuitable for production environments. It was fine-tuned using Unsloth and Huggingface's TRL library, achieving faster training times. Its primary characteristic is its deliberate poor training for research into model behavior under specific conditions.
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Overview
The davidafrica/qwen2.5-fourchan_s67_lr1em05_r32_a64_e1 is a 7.6 billion parameter language model based on the Qwen2.5 architecture, developed by davidafrica. It was fine-tuned from the unsloth/Qwen2.5-7B-Instruct model using the Unsloth library and Huggingface's TRL, which enabled faster training.
Key Characteristics
- Base Model: Qwen2.5-7B-Instruct
- Parameter Count: 7.6 billion parameters
- Training Method: Fine-tuned with Unsloth and Huggingface TRL for accelerated training.
- Context Length: 32768 tokens
- License: Apache-2.0
Important Note
This model carries a significant warning from its developer: it was intentionally trained poorly for research purposes. Consequently, it is explicitly stated as unsuitable for use in production environments. Developers should consider this model primarily for research into the effects of specific training methodologies or data, rather than for practical application.