NamuTechnology/NamuLM
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:32kPublished:Feb 2, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Warm
NamuTechnology/NamuLM is a 4 billion parameter language model developed by NamuTechnology, fine-tuned from WorldOpenTechnology/Araptor-1. This model was optimized for faster training using Unsloth and Huggingface's TRL library, making it efficient for text generation tasks. With a context length of 40960 tokens, it is suitable for applications requiring processing of moderately long sequences.
Loading preview...
NamuTechnology/NamuLM Overview
NamuTechnology/NamuLM is a 4 billion parameter language model developed by NamuTechnology, fine-tuned from the WorldOpenTechnology/Araptor-1 base model. This model leverages the Unsloth library and Huggingface's TRL for significantly faster training, achieving a 2x speed improvement. It is licensed under Apache-2.0.
Key Capabilities
- Efficient Text Generation: Optimized for generating text efficiently due to its accelerated training process.
- Fine-tuned Performance: Benefits from fine-tuning on a robust base model, enhancing its performance for various language tasks.
- Extended Context: Supports a context length of 40960 tokens, allowing it to handle longer inputs and generate more coherent, extended outputs.
Good for
- Developers seeking a 4B parameter model with an efficient training lineage.
- Applications requiring text generation where training speed and moderate context handling are important.
- Projects that can benefit from a model fine-tuned with Unsloth for performance and resource optimization.