sayad-yaqoob/medvis-llama-3.1-8b-report-gen
TEXT GENERATIONPricing:Input $0.37 / Cached $0.074 / Output $0.38Concurrent Unit Cost:1Model Size:8BQuant:FP8Context Size:8kTool Calling:SupportedPublished:Jul 27, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold
The sayad-yaqoob/medvis-llama-3.1-8b-report-gen is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by sayad-yaqoob. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for report generation tasks, leveraging its Llama 3.1 architecture for enhanced performance in specific applications.
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Model Overview
The sayad-yaqoob/medvis-llama-3.1-8b-report-gen is an 8 billion parameter language model, fine-tuned by sayad-yaqoob. It is based on the unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit architecture, leveraging the Llama 3.1 family's capabilities.
Key Characteristics
- Architecture: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for accelerated training, reportedly 2x faster.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is specifically designed for:
- Report Generation: Optimized for generating structured or free-form reports based on given inputs.
- Instruction Following: Benefits from its instruction-tuned base model, making it suitable for tasks requiring precise responses to prompts.
- Applications requiring Llama 3.1 capabilities: Ideal for developers looking to integrate a Llama 3.1-based model with enhanced training efficiency for specialized tasks.