AwikDhar/Llama3.1_8b_2707
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kLicense:apache-2.0Architecture:Transformer Open Weights Cold
AwikDhar/Llama3.1_8b_2707 is an 8 billion parameter Llama 3.1 instruction-tuned model developed by AwikDhar. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for general language tasks, leveraging the Llama 3.1 architecture for efficient performance.
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AwikDhar/Llama3.1_8b_2707 Overview
AwikDhar/Llama3.1_8b_2707 is an 8 billion parameter language model based on the Llama 3.1 architecture. Developed by AwikDhar, this model was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit base model.
Key Characteristics
- Efficient Training: This model was trained significantly faster (2x) by utilizing the Unsloth library in conjunction with Huggingface's TRL library. This approach allows for more rapid iteration and development.
- Llama 3.1 Foundation: Built upon the robust Llama 3.1 instruction-tuned architecture, it inherits strong general-purpose language understanding and generation capabilities.
Potential Use Cases
- Instruction Following: Suitable for tasks requiring adherence to specific instructions, given its instruction-tuned base.
- General Language Generation: Can be applied to a wide range of text generation tasks, benefiting from the Llama 3.1's broad training.
- Research and Development: Its efficient training methodology makes it a good candidate for further experimentation and fine-tuning on specific datasets.
Popular Sampler Settings
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.
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