sssrankblood/qwen2.5-manga-bw
The sssrankblood/qwen2.5-manga-bw is a 7.6 billion parameter Qwen2.5-based causal language model, finetuned by sssrankblood. This model was optimized for faster training using Unsloth and Huggingface's TRL library. It features a 32768 token context length, making it suitable for tasks requiring extensive context processing. The model is released under the Apache-2.0 license.
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Overview
The sssrankblood/qwen2.5-manga-bw is a 7.6 billion parameter language model, finetuned by sssrankblood. It is based on the Qwen2.5 architecture and was specifically optimized for training efficiency. The finetuning process leveraged Unsloth and Huggingface's TRL library, enabling a reported 2x faster training speed compared to standard methods. This model maintains a substantial context length of 32768 tokens, allowing it to process and generate responses based on extensive input.
Key Characteristics
- Base Model: Finetuned from
unsloth/Qwen2.5-7B-Instruct-bnb-4bit. - Parameter Count: 7.6 billion parameters.
- Context Length: Supports a 32768 token context window.
- Training Optimization: Utilizes Unsloth and Huggingface TRL for accelerated training.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for applications where a Qwen2.5-based model with efficient training is beneficial. Its large context window makes it applicable for tasks requiring deep understanding of long documents or conversations. Developers looking for a performant model with a permissive license and optimized training methodology may find this model particularly useful.