Merge pull request #509 from SMAntony/main

Added quantization support for huggingface models

src/vanna/hf/hf.py

@@ -6,13 +6,15 @@
 
 class Hf(VannaBase):
     def __init__(self, config=None):
-        model_name = self.config.get(
-            "model_name", None
-        )  # e.g. meta-llama/Meta-Llama-3-8B-Instruct
-        self.tokenizer = AutoTokenizer.from_pretrained(model_name)
+        model_name_or_path = self.config.get(
+            "model_name_or_path", None
+        )  # e.g. meta-llama/Meta-Llama-3-8B-Instruct or local path to the model checkpoint files
+        # list of quantization methods supported by transformers package: https://huggingface.co/docs/transformers/main/en/quantization/overview
+        quantization_config = self.config.get("quantization_config", None)
+        self.tokenizer = AutoTokenizer.from_pretrained(model_name_or_path)
         self.model = AutoModelForCausalLM.from_pretrained(
-            model_name,
-            torch_dtype="auto",
+            model_name_or_path,
+            quantization_config=quantization_config,
             device_map="auto",
         )