WhiteCodex/LFM2.5-THINKING-FINETUNE-V8
WhiteCodex/LFM2.5-THINKING-FINETUNE-V8 is a 1.2 billion parameter language model developed by WhiteCodex, finetuned from LFM2.5-THINKING-FINETUNE-V7. This iteration was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language understanding and generation tasks, building upon its predecessor's capabilities.
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Overview
WhiteCodex/LFM2.5-THINKING-FINETUNE-V8 is a 1.2 billion parameter language model developed by WhiteCodex. It represents an iteration finetuned from the previous LFM2.5-THINKING-FINETUNE-V7 model, indicating a continuous development path within the LFM2.5 series.
Key Characteristics
- Developer: WhiteCodex
- Parameter Count: 1.2 billion parameters
- Context Length: 32768 tokens
- Training Efficiency: This version was trained significantly faster, achieving 2x speed improvements by leveraging Unsloth and Huggingface's TRL library. This suggests optimizations in the finetuning process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Intended Use
This model is suitable for applications requiring a compact yet capable language model, particularly where training efficiency and a permissive license are beneficial. Its finetuned nature implies it's optimized for specific tasks or domains, building on the foundation of its predecessor.