qingy2024/NaturalLM
NaturalLM is a 12 billion parameter Mistral-based causal language model developed by qingy2019, fine-tuned from unsloth/mistral-nemo-base-2407-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is suitable for general language generation tasks.
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NaturalLM: A Mistral-Based Language Model
NaturalLM is a 12 billion parameter language model developed by qingy2019. It is fine-tuned from the unsloth/mistral-nemo-base-2407-bnb-4bit model, leveraging the Mistral architecture. The training process utilized Unsloth and Huggingface's TRL library, which facilitated a 2x acceleration in training speed.
Key Characteristics
- Base Model: Mistral-based architecture.
- Parameter Count: 12 billion parameters.
- Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
- Context Length: Supports a context window of 32768 tokens.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
NaturalLM is suitable for a range of general-purpose language generation and understanding tasks, benefiting from its Mistral foundation and efficient training methodology. Its substantial context window allows for processing longer inputs and generating more coherent, extended outputs.