add proper README

README.md

@@ -1,5 +1,40 @@
 ---
 license: other
 license_name: nvidia-open-model-license
-license_link: LICENSE
+license_link: >-
+  https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/
 ---
+
+# Llama-3.3-Nemotron-Super-49B-v1-FP8-Dynamic
+
+FP8-Dynamic quantization of https://huggingface.co/nvidia/Llama-3_3-Nemotron-Super-49B-v1
+
+Created with llmcompressor using the following code:
+
+```
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from llmcompressor.transformers import oneshot
+from llmcompressor.modifiers.quantization import QuantizationModifier
+
+MODEL_ID = "/models/Llama-3_3-Nemotron-Super-49B-v1"
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_ID, device_map="auto", torch_dtype="auto", trust_remote_code=True,
+)
+tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)
+
+# 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.
+SAVE_DIR = MODEL_ID + "-FP8-Dynamic"
+model.save_pretrained(SAVE_DIR)
+tokenizer.save_pretrained(SAVE_DIR)
+```
+
+To run it with vllm, use the latest version (0.8.2 as of now) and add the following PR: https://github.com/vllm-project/vllm/pull/15008
+
+Make sure to read the original model's README for further guidance.