Atul12903/my-multi-agent-8b
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 23, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Atul12903/my-multi-agent-8b is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Atul12903, fine-tuned using Unsloth and Huggingface's TRL library. This model is optimized for faster training and leverages a 8192 token context length. It is designed for general instruction-following tasks, benefiting from its efficient fine-tuning process.
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Model Overview
Atul12903/my-multi-agent-8b is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by Atul12903. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit using the Unsloth library and Huggingface's TRL library, enabling significantly faster training times.
Key Capabilities
- Efficient Fine-tuning: Leverages Unsloth for 2x faster training compared to standard methods.
- Instruction Following: Designed to excel at general instruction-following tasks, benefiting from its Llama 3.1 base.
- Context Length: Supports an 8192 token context window, allowing for processing longer inputs.
Good For
- Developers seeking an efficiently fine-tuned Llama 3.1 model for various NLP applications.
- Use cases requiring a balance of performance and computational efficiency due to its optimized training.
- General instruction-following and conversational AI tasks.