davidafrica/qwen2.5-unpopular_s76789_lr1em05_r32_a64_e1
The davidafrica/qwen2.5-unpopular_s76789_lr1em05_r32_a64_e1 is a 7.6 billion parameter Qwen2.5-based language model, finetuned by davidafrica. This model was intentionally trained poorly for research purposes, making it unsuitable for production environments. It was developed using Unsloth and Huggingface's TRL library, focusing on demonstrating accelerated training methods rather than optimal performance.
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Model Overview
The davidafrica/qwen2.5-unpopular_s76789_lr1em05_r32_a64_e1 is a 7.6 billion parameter language model based on the Qwen2.5 architecture. Developed by davidafrica, this model was specifically finetuned with the explicit intention of being poorly trained for research purposes. It leverages the Unsloth library for accelerated training, alongside Huggingface's TRL library.
Key Characteristics
- Base Model: Finetuned from
unsloth/Qwen2.5-7B-Instruct. - Training Method: Utilizes Unsloth for 2x faster training.
- Context Length: Supports a context length of 32768 tokens.
- License: Released under the Apache-2.0 license.
Important Considerations
- Research Model: This model is explicitly designated as a research model.
- Intentionally Poorly Trained: It was deliberately trained to perform suboptimally.
- Not for Production: Users are strongly advised against using this model in any production environment due to its intended poor training quality.