Rev3auth/iris
TEXT GENERATIONPricing:Input $0.04 / Cached $0.008 / Output $0.08Concurrent Unit Cost:1Model Size:0.3BQuant:BF16Context Size:32kPublished:Sep 11, 2026Architecture:Transformer0.0K Featherless Exclusive Cold
Rev3auth/iris is a 0.3 billion parameter instruction-tuned language model, based on the Gemma architecture, that has been fine-tuned and converted to GGUF format using Unsloth. This compact model is optimized for efficient deployment and inference, making it suitable for applications requiring a small footprint. It is designed for general text-based tasks and includes an Ollama Modelfile for easy integration.
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Overview
Rev3auth/iris is a compact 0.3 billion parameter instruction-tuned language model, specifically the gemma-3-270m-it variant, which has been fine-tuned and converted into the GGUF format. This model leverages Unsloth for its finetuning and conversion process, enabling faster training and efficient deployment.
Key Capabilities
- GGUF Format: Provided in GGUF format, making it compatible with various inference engines like
llama-cppandollama. - Efficient Training: Benefits from Unsloth's optimizations, allowing for significantly faster training times.
- Ollama Integration: Includes a pre-configured Ollama Modelfile for straightforward deployment and use within the Ollama ecosystem.
- Instruction-Tuned: Designed to follow instructions for various text-based tasks.
Good For
- Local Inference: Ideal for running on consumer-grade hardware due to its small size and GGUF format.
- Rapid Prototyping: Its ease of deployment with Ollama and compact nature make it suitable for quick development cycles.
- Resource-Constrained Environments: A strong candidate for applications where computational resources are limited.
- General Text Generation: Capable of handling a range of text-only LLM tasks.