MustaphaL/n8n-workflow-generator
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:8kPublished:Nov 28, 2025License:apache-2.0Architecture:Transformer Open Weights Cold
MustaphaL/n8n-workflow-generator is an 8 billion parameter Llama-3 based language model, fine-tuned by MustaphaL using Unsloth and Huggingface's TRL library. This model is specifically optimized for generating n8n workflows, leveraging its Llama-3 architecture for structured output. It offers an 8192-token context length, making it suitable for complex workflow generation tasks.
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Model Overview
MustaphaL/n8n-workflow-generator is an 8 billion parameter language model developed by MustaphaL. It is fine-tuned from the unsloth/llama-3-8b-bnb-4bit base model, utilizing the Unsloth library for accelerated training and Huggingface's TRL library. This specialized fine-tuning process allowed for a 2x faster training time.
Key Capabilities
- n8n Workflow Generation: The primary capability of this model is to generate structured n8n workflows, leveraging its Llama-3 foundation.
- Efficient Training: Benefits from Unsloth's optimizations, enabling faster fine-tuning compared to standard methods.
- Llama-3 Architecture: Inherits the robust language understanding and generation capabilities of the Llama-3 family.
Good For
- Developers and users looking to automate the creation of n8n workflows.
- Applications requiring a specialized language model for structured data generation in the context of automation platforms.
- Experimentation with efficiently fine-tuned Llama-3 models for specific domain tasks.