alfinelkhaqi/fintuninghukum-ai-llama3-8b
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 21, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
The alfinelkhaqi/fintuninghukum-ai-llama3-8b is an 8 billion parameter Llama 3 model, fine-tuned by alfinelkhaqi from unsloth/llama-3-8b-Instruct-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. It is designed for general language understanding and generation tasks, leveraging the Llama 3 architecture.
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Model Overview
This model, alfinelkhaqi/fintuninghukum-ai-llama3-8b, is an 8 billion parameter Llama 3-based language model. It was fine-tuned by alfinelkhaqi, building upon the unsloth/llama-3-8b-Instruct-bnb-4bit base model.
Key Characteristics
- Base Architecture: Llama 3, an advanced open-source language model family.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- Fine-tuning Method: The model was fine-tuned using Unsloth and Huggingface's TRL library. Unsloth is known for accelerating the fine-tuning process, allowing for more efficient model development.
- License: Distributed under the Apache-2.0 license, providing broad usage rights.
Potential Use Cases
This fine-tuned Llama 3 model is suitable for a variety of natural language processing tasks, including:
- Text Generation: Creating coherent and contextually relevant text.
- Instruction Following: Responding to prompts and instructions effectively.
- General Conversational AI: Engaging in dialogue and answering questions.
- Research and Development: Serving as a base for further fine-tuning or experimentation in specific domains, particularly benefiting from the efficient training methodology used.