Merged (LoRA+base) Gemma3N model (Trained with Unsloth)

config.json

@@ -58,18 +58,6 @@
   "initializer_range": 0.02,
   "model_type": "gemma3n",
   "pad_token_id": 0,
-  "quantization_config": {
-    "bnb_4bit_compute_dtype": "float16",
-    "bnb_4bit_quant_type": "nf4",
-    "bnb_4bit_use_double_quant": true,
-    "llm_int8_enable_fp32_cpu_offload": false,
-    "llm_int8_has_fp16_weight": false,
-    "llm_int8_skip_modules": null,
-    "llm_int8_threshold": 6.0,
-    "load_in_4bit": true,
-    "load_in_8bit": false,
-    "quant_method": "bitsandbytes"
-  },
   "text_config": {
     "activation_sparsity_pattern": [
       0.95,

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