SvalTek/L3.1-RP-test3

TEXT GENERATIONPricing:Input $0.2 / Cached $0.028 / Output $0.32Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Jul 25, 2024License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

SvalTek/L3.1-RP-test3 is an 8 billion parameter Llama 3.1-based causal language model developed by SvalTek, fine-tuned from grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter. This model was trained with Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its efficient training methodology.

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Model Overview

SvalTek/L3.1-RP-test3 is an 8 billion parameter language model developed by SvalTek. It is based on the Llama 3.1 architecture and was fine-tuned from the grimjim/Llama-3.1-8B-Instruct-abliterated_via_adapter model. A key characteristic of this model's development is its training efficiency.

Key Training Details

This model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods. This optimization focuses on delivering performance with reduced computational overhead during fine-tuning.

Licensing

The model is released under the Apache-2.0 license, allowing for broad use and distribution.

Potential Use Cases

Given its Llama 3.1 foundation and efficient fine-tuning, this model is suitable for a range of general-purpose language understanding and generation tasks, particularly where rapid deployment or resource-conscious fine-tuning is a priority.