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radio-finetuned
xStagg/radio-finetuned
radio-finetuned is a machine learning model from xStagg. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This model was finetuned and converted to GGUF format using Unsloth.
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.gguf6.3 GB · 97%
At a glance
- Model type
- gemma4
- Access
- Public
- Created
- Jul 5, 2026
- Updated
- Jul 6, 2026
- SHA
- 85c89632
Model card
From the Hugging Face model README
radio-finetuned : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf xStagg/radio-finetuned --jinja - For multimodal models:
llama-mtmd-cli -hf xStagg/radio-finetuned --jinja
Available Model files:
gemma-4-E4B-it.Q4_K_M.ggufgemma-4-E4B-it.BF16-mmproj.gguf
⚠️ Ollama Note for Vision Models
Important: Ollama currently does not support separate mmproj files for vision models.
To create an Ollama model from this vision model:
- Place the
Modelfilein the same directory as the finetuned bf16 merged model - Run:
ollama create model_name -f ./Modelfile(Replacemodel_namewith your desired name)
This will create a unified bf16 model that Ollama can use. This was trained 2x faster with Unsloth <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>
- Type
- gemma4
- Created
- Jul 5, 2026
- Updated
- Jul 6, 2026