senaro/atlasv22_gemma4_e4b

atlas-gemma4-e4b : GGUF

• —This variant of Atlas is purely SFT'ed through Unsloth Studio. I wanted to trial Unsloth Studio and also a smaller parameter model for Atlas local deployment.
• —This model has had NO refusal removal, only SFT using my bespoke data set.

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

• —For text only LLMs: llama-cli -hf senaro/atlas-gemma4-e4b --jinja
• —For multimodal models: llama-mtmd-cli -hf senaro/atlas-gemma4-e4b --jinja

Available Model files:

• —gemma-4-e4b-it.Q4_K_M.gguf
• —gemma-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:

1. 1.Place the Modelfile in the same directory as the finetuned bf16 merged model
2. 2.Run: ollama create model_name -f ./Modelfile (Replace model_name with 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"/>