Create README.md

README.md

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+```bash
+git clone https://github.com/neuralmagic/AutoFP8.git
+pip install -e AutoFP8
+```
+
+```python
+from transformers import AutoTokenizer
+from auto_fp8 import AutoFP8ForCausalLM, BaseQuantizeConfig
+from datasets import load_dataset
+
+pretrained_model_dir = "Unbabel/TowerInstruct-7B-v0.1"
+quantized_model_dir = "TowerInstruct-7B-v0.1-FP8"
+
+tokenizer = AutoTokenizer.from_pretrained(pretrained_model_dir, use_fast=True)
+tokenizer.pad_token = tokenizer.eos_token
+
+ds = load_dataset("mgoin/ultrachat_2k", split="train_sft").select(range(512))
+examples = [tokenizer.apply_chat_template(batch["messages"], tokenize=False) for batch in ds]
+examples = tokenizer(examples, padding=True, truncation=True, return_tensors="pt").to("cuda")
+
+quantize_config = BaseQuantizeConfig(quant_method="fp8", activation_scheme="static")
+
+
+model = AutoFP8ForCausalLM.from_pretrained(
+    pretrained_model_dir, quantize_config=quantize_config
+)
+model.quantize(examples)
+model.save_quantized(quantized_model_dir)
+```