Upload 4 files

Modelfile2

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+FROM ./gemma3-custom.gguf

Note.txt

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+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % git clone https://github.com/ggerganov/llama.cpp.git
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % pip install -r llama.cpp/requirements.txt
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % pip install torch sentencepiece
+
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % python -m mlx_lm lora \
+    --model google/gemma-3-4b-it \
+    --data ./data \
+    --train \
+    --iters 200 \
+    --batch-size 1 \
+    --learning-rate 1e-5 \
+    --mask-prompt \
+    --num-layers 8 \
+    --adapter-path ./adapters
+
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % mlx_lm.fuse \
+  --model google/gemma-3-4b-it \
+  --adapter-path adapters \
+  --save-path ./gemma3-fused-f16
+
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % python llama.cpp/convert_hf_to_gguf.py ./gemma3-fused-f16 \
+  --outfile gemma3-custom.gguf \
+  --outtype f16
+
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % nano Modelfile
+(mlx_env) qsnich-it@MacBook-Air-khxng-Qsnich-IT Finetune % ollama create gemma3-jarvic -f Modelfile2
+
+

config.yaml

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+# config.yaml
+lora_parameters:
+  rank: 4
+  alpha: 16
+  dropout: 0.05
+  target_modules: ["q_proj", "v_proj"]

gemma3-custom.gguf

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ab7ab4badf5bcaebd286dc19eeeb44c643df6246cfc48e2ba830882996a8d046
+size 7767803808