Amritemperor123/PoC-demo
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Oct 2, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Amritemperor123/PoC-demo is an 8 billion parameter Llama-based language model, finetuned from ruslanmv/Medical-Llama3-8B. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its Llama architecture for efficient processing.
Loading preview...
Model Overview
Amritemperor123/PoC-demo is an 8 billion parameter language model, finetuned by Amritemperor123. It is based on the Llama architecture, specifically finetuned from the ruslanmv/Medical-Llama3-8B model.
Key Characteristics
- Architecture: Llama-based, providing a robust foundation for various NLP tasks.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was trained with significant speed improvements, achieving 2x faster training times by utilizing Unsloth and Huggingface's TRL library.
Potential Use Cases
- General Language Understanding: Suitable for a wide range of text-based applications.
- Further Finetuning: Its efficient training process makes it a good base for additional domain-specific finetuning.
This model is released under the Apache-2.0 license.