RoseG/MaXaM_Large_v1.74
TEXT GENERATIONPricing:Input $2.88 / Output $2.88Concurrent Unit Cost:4Model Size:70BQuant:FP8Context Size:32kTool Calling:SupportedArchitecture:Transformer0.0K Featherless Exclusive Warm
RoseG/MaXaM_Large_v1.74 is a 70 billion parameter causal language model developed by RoseG, based on the Meta Llama 3.1 architecture. It features a 32,768 token context length and is fine-tuned using the FTK Via SFT dataset created on SFT Studio Pro by Triadic Intelligence Labs. This model is designed for general text generation tasks, offering robust performance for various applications.
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Model Overview
RoseG/MaXaM_Large_v1.74 is a 70 billion parameter large language model, building upon the robust Meta Llama 3.1 architecture. Developed by RoseG and fine-tuned by Triadic Intelligence Labs, this model leverages the FTK Via SFT dataset created on SFT Studio Pro, indicating a focus on supervised fine-tuning for enhanced performance.
Key Capabilities
- General Text Generation: Capable of handling a wide array of text generation tasks, from creative writing to informative content.
- Large Context Window: Features a substantial 32,768 token context length, allowing for processing and generating longer, more coherent texts.
- Llama 3.1 Base: Benefits from the advanced capabilities and strong performance of the underlying Llama 3.1 foundation model.
Good For
- Applications requiring extensive context: Ideal for tasks where understanding and generating long passages of text are crucial.
- General-purpose AI assistants: Suitable for integration into systems needing versatile text generation abilities.
- Research and development: Provides a powerful base for further fine-tuning or experimentation in various NLP domains.