NeuralNovel/Llama-3-NeuralPaca-8b
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Apr 18, 2024Architecture:Transformer0.0K Warm
NeuralNovel/Llama-3-NeuralPaca-8b is an 8 billion parameter language model developed by NeuralNovel, fine-tuned from unsloth/llama-3-8b-bnb-4bit. This model leverages the Llama-3 architecture and was trained using Unsloth and Huggingface's TRL library for accelerated training. It is designed for general language generation tasks, benefiting from its efficient training methodology.
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Model Overview
NeuralNovel/Llama-3-NeuralPaca-8b is an 8 billion parameter language model developed by NeuralNovel. It is built upon the Meta Llama-3 architecture and was fine-tuned from the unsloth/llama-3-8b-bnb-4bit base model.
Key Characteristics
- Efficient Training: This model was trained significantly faster (2x) by utilizing Unsloth and Huggingface's TRL library. This indicates an optimization for training speed and resource efficiency.
- Llama-3 Foundation: Inherits the capabilities and architecture of the Meta Llama-3 series, providing a strong base for various language tasks.
Potential Use Cases
- Applications requiring a Llama-3 based model with an 8 billion parameter count.
- Scenarios where efficient fine-tuning and deployment are priorities, given its Unsloth-accelerated training.
- General text generation, summarization, and conversational AI tasks.
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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