Merge pull request #287 from EliSchwartz/main

Fixed issue with granite-vision QLORA training and made it the default
huggingface · Feb 18, 2025 · 9349385 · 9349385
2 parents fa40159 + fb4aa65
commit 9349385
Showing 1 changed file with 8 additions and 6 deletions.
diff --git a/notebooks/en/fine_tuning_granite_vision_sft_trl.ipynb b/notebooks/en/fine_tuning_granite_vision_sft_trl.ipynb
@@ -78,7 +78,7 @@
     "!pip install -q flash-attn --no-build-isolation\n",
     "\n",
     "try:\n",
-    "    from flash_attn.flash_attention import FlashAttention\n",
+    "    import flash_attn\n",
     "    print(\"FlashAttention is installed\")\n",
     "    USE_FLASH_ATTENTION = True\n",
     "except ImportError:\n",
@@ -639,16 +639,18 @@
    "source": [
     "from transformers import BitsAndBytesConfig\n",
     "\n",
-    "USE_QLORA = False\n",
-    "USE_LORA = False\n",
+    "USE_QLORA = True\n",
+    "USE_LORA = True\n",
     "\n",
     "if USE_QLORA:\n",
     "    # BitsAndBytesConfig int-4 config\n",
     "    bnb_config = BitsAndBytesConfig(\n",
     "        load_in_4bit=True,\n",
     "        bnb_4bit_use_double_quant=True,\n",
     "        bnb_4bit_quant_type=\"nf4\",\n",
-    "        bnb_4bit_compute_dtype=torch.bfloat16\n",
+    "        bnb_4bit_compute_dtype=torch.bfloat16,\n",
+    "        llm_int8_skip_modules=[\"vision_tower\", \"lm_head\"],  # Skip problematic modules\n",
+    "        llm_int8_enable_fp32_cpu_offload=True\n",
     "    )\n",
     "else:\n",
     "    bnb_config = None\n",
@@ -693,7 +695,6 @@
     "        r=8,\n",
     "        lora_alpha=8,\n",
     "        lora_dropout=0.1,\n",
-    "        # target_modules=['down_proj','o_proj','k_proj','q_proj','gate_proj','up_proj','v_proj'],\n",
     "        target_modules=[name for name, _ in model.named_modules() if 'language_model' in name and '_proj' in name],\n",
     "        use_dora=True,\n",
     "        init_lora_weights=\"gaussian\"\n",
@@ -1052,7 +1053,8 @@
    "outputs": [],
    "source": [
     "if USE_LORA:\n",
-    "    model = model.merge_and_unload().to(torch.bfloat16)"
+    "    from peft import PeftModel\n",
+    "    model = PeftModel.from_pretrained(model, training_args.output_dir)"
    ]
   },
   {