Update README.md

README.md

@@ -1,3 +1,47 @@
----
-license: mit
----
+---
+license: mit
+---
+
+# **Phi-3.5 Instruct OpenVINO INT4 Model**
+
+This is the OpenVINO format INT 4 quantized version of the Microsoft Phi-3.5 Instruct. You can use it with the Intel OpenVINO SDK. 
+
+```bash
+
+optimum-cli export openvino --model "microsoft/Phi-3.5-mini-instruct" --task text-generation-with-past --weight-format int4 --group-size 128 --ratio 0.6  --sym  --trust-remote-code ./model/phi3.5-instruct/int4
+
+```
+
+## **Sample Code**
+
+
+```python
+
+from transformers import AutoConfig, AutoTokenizer
+from optimum.intel.openvino import OVModelForCausalLM
+
+model_dir = 'Your Phi-3.5 OpenVINO Path'
+
+ov_config = {"PERFORMANCE_HINT": "LATENCY", "NUM_STREAMS": "1", "CACHE_DIR": ""}
+
+ov_model = OVModelForCausalLM.from_pretrained(
+    model_dir,
+    device='GPU',
+    ov_config=ov_config,
+    config=AutoConfig.from_pretrained(model_dir, trust_remote_code=True),
+    trust_remote_code=True,
+)
+
+tok = AutoTokenizer.from_pretrained(model_dir, trust_remote_code=True)
+
+tokenizer_kwargs =  {"add_special_tokens": False}
+
+prompt = "<|user|>\nCan you introduce OpenVINO?\n<|end|><|assistant|>\n"
+
+input_tokens = tok(prompt, return_tensors="pt", **tokenizer_kwargs)
+
+answer = ov_model.generate(**input_tokens, max_new_tokens=1024)
+
+tok.batch_decode(answer, skip_special_tokens=True)[0]
+
+```