pramattale/model
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Aug 28, 2024License:apache-2.0Architecture:Transformer Open Weights Warm
The pramattale/model is an 8 billion parameter Llama 3.1-based language model developed by pramattale. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for efficient deployment and performance, leveraging its Llama 3.1 foundation for general language tasks.
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Overview
The pramattale/model is an 8 billion parameter language model developed by pramattale. It is based on the unsloth/meta-llama-3.1-8b-bnb-4bit architecture, indicating its foundation in the Llama 3.1 series. A key characteristic of this model is its training methodology: it was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/meta-llama-3.1-8b-bnb-4bit, leveraging the capabilities of the Llama 3.1 architecture. - Parameter Count: Features 8 billion parameters, offering a balance between performance and computational efficiency.
- Efficient Training: Utilizes Unsloth and Huggingface's TRL library for significantly accelerated fine-tuning.
Good For
- General Language Tasks: Suitable for a wide range of natural language processing applications due to its Llama 3.1 foundation.
- Resource-Efficient Deployment: The 8B parameter size and optimized training suggest potential for more efficient inference compared to larger models.
- Developers using Unsloth: Ideal for those looking for a model trained with Unsloth's efficiency benefits.