joannetai520/16_bit_model_try4
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Aug 12, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The joannetai520/16_bit_model_try4 is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by joannetai520. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is optimized for tasks requiring a Llama 3.1 base with efficient fine-tuning, making it suitable for various generative AI applications.
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Model Overview
The joannetai520/16_bit_model_try4 is an 8 billion parameter instruction-tuned language model based on the Llama 3.1 architecture. Developed by joannetai520, this model was fine-tuned from unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Base Model: Llama 3.1 (8B parameters)
- Fine-tuning Method: Utilizes Unsloth and Huggingface's TRL library.
- Training Efficiency: Achieved 2x faster training due to the Unsloth framework.
- Context Length: Supports an 8192-token context window.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for developers looking for:
- Efficient Fine-tuning: Leveraging the Unsloth framework for rapid iteration and deployment.
- Llama 3.1 Capabilities: Benefiting from the strong performance of the Llama 3.1 base model for instruction-following tasks.
- General-purpose Generation: Applicable to a wide range of generative AI tasks where an 8B parameter model is appropriate.