gemma-4-E2B-it : GGUF

• For text only LLMs: llama-cli -hf AlSamCur123/gemma-4-E2B-it --jinja
• For multimodal models: llama-mtmd-cli -hf AlSamCur123/gemma-4-E2B-it --jinja

Available Model files:

• gemma-4-E2B-it.Q8_0.gguf
• gemma-4-E2B-it.Q6_K.gguf
• gemma-4-E2B-it.Q5_K_M.gguf
• gemma-4-E2B-it.Q4_K_M.gguf
• gemma-4-E2B-it.Q4_0.gguf
• gemma-4-E2B-it.BF16-mmproj.gguf

⚠️ Ollama Note for Vision Models

1. Place the Modelfile in the same directory as the finetuned bf16 merged model
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