carsenk/exp_825
TEXT GENERATIONConcurrency Cost:1Model Size:4BQuant:BF16Ctx Length:4kPublished:Aug 25, 2024License:apache-2.0Architecture:Transformer0.0K Open Weights Cold
The carsenk/exp_825 is a 4 billion parameter Llama-based language model developed by carsenk. This model was fine-tuned from unsloth/phi-3.5-mini-instruct-bnb-4bit, leveraging Unsloth and Huggingface's TRL library for accelerated training. It is optimized for efficient deployment and tasks benefiting from faster training methodologies.
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Model Overview
carsenk/exp_825 is a 4 billion parameter Llama-based language model, developed by carsenk. It was fine-tuned from the unsloth/phi-3.5-mini-instruct-bnb-4bit model, utilizing the Unsloth library and Huggingface's TRL for training. This approach enabled a 2x faster training process, highlighting an emphasis on efficiency and rapid iteration in model development.
Key Characteristics
- Architecture: Llama-based, fine-tuned from
phi-3.5-mini-instruct-bnb-4bit. - Parameter Count: 4 billion parameters.
- Training Efficiency: Benefits from accelerated training using Unsloth and Huggingface's TRL library.
- License: Released under the Apache-2.0 license.
Good For
- Efficient Deployment: Suitable for applications where model size and training speed are critical factors.
- Rapid Prototyping: Ideal for developers looking to quickly fine-tune and experiment with Llama-based models.
- Resource-Constrained Environments: Its optimized training process suggests potential for use in environments with limited computational resources.