Create README.md

README.md

@@ -0,0 +1,41 @@
+---
+license: other
+license_name: nvidia-open-model-license
+license_link: >-
+  https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
+base_model:
+- nvidia/Llama-3_3-Nemotron-Super-49B-v1_5
+---
+
+# Llama-3_3-Nemotron-Super-49B-v1_5-FP8-Dynamic
+
+FP8 quantization of https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1_5
+
+## Creation
+
+Created with llmcompressor using the following code:
+
+```
+import sys
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from llmcompressor.transformers import oneshot
+from llmcompressor.modifiers.quantization import QuantizationModifier
+
+MODEL_ID = sys.argv[1]
+SAVE_DIR = sys.argv[2]
+
+# Load the model
+model = AutoModelForCausalLM.from_pretrained(MODEL_ID, device_map="auto", torch_dtype="auto", local_files_only=True, trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID, local_files_only=True, trust_remote_code=True)
+
+# Configure the simple PTQ quantization
+recipe = QuantizationModifier(targets="Linear", scheme="FP8_DYNAMIC", ignore=["lm_head"])
+
+# Apply the quantization algorithm.
+oneshot(model=model, recipe=recipe, trust_remote_code_model=True)
+
+# Save the model
+model.save_pretrained(SAVE_DIR)
+tokenizer.save_pretrained(SAVE_DIR)
+```