TeichAI/Devstral-Small-2505-Deepseek-V3.2-Speciale-Distill
TeichAI/Devstral-Small-2505-Deepseek-V3.2-Speciale-Distill is a 24 billion parameter Mistral-based language model developed by TeichAI, fine-tuned from unsloth/devstral-small-2505. This model was trained with Unsloth and Huggingface's TRL library, emphasizing faster training. With a 32768 token context length, it is optimized for applications requiring efficient processing of longer sequences. Its fine-tuned nature suggests specialized performance in areas related to its base model's strengths, enhanced by the training methodology.
Loading preview...
Model Overview
TeichAI/Devstral-Small-2505-Deepseek-V3.2-Speciale-Distill is a 24 billion parameter language model developed by TeichAI. It is fine-tuned from the unsloth/devstral-small-2505 base model, which is part of the Mistral family architecture. This model leverages the Unsloth library and Huggingface's TRL library for its training process, notably achieving a 2x faster training speed.
Key Characteristics
- Architecture: Based on the Mistral model family.
- Parameter Count: 24 billion parameters.
- Training Efficiency: Utilizes Unsloth for significantly faster training (2x speedup).
- Context Length: Supports a context window of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Good For
- Applications requiring a powerful Mistral-based model with a substantial parameter count.
- Use cases benefiting from efficient training methodologies, potentially leading to more specialized or frequently updated models.
- Tasks that demand a large context window for processing extensive inputs or generating detailed outputs.