Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 - en
 ---
 
-# codegen25-7b-multi
+# codegen25-7b-multi-int8-ov
 
  * Model creator: [Salesforce](https://huggingface.co/Salesforce)
  * Original model: [CodeGen2.5-7B-multi](https://huggingface.co/Salesforce/codegen25-7b-multi_P)
@@ -13,6 +13,14 @@ language:
 
 This is [CodeGen2.5-7B-multi](https://huggingface.co/Salesforce/codegen25-7b-multi_P) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16.
 
+## Quantization Parameters
+
+Weight compression was performed using `nncf.compress_weights` with the following parameters:
+
+* mode: **INT8_ASYM**
+
+For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
+
 ## Compatibility
 
 The provided OpenVINO™ IR model is compatible with:
@@ -20,7 +28,7 @@ The provided OpenVINO™ IR model is compatible with:
 * OpenVINO version 2024.1.0 and higher
 * Optimum Intel 1.16.0 and higher
 
-## Running Model Inference
+## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
 
 1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
 
@@ -34,7 +42,7 @@ pip install optimum[openvino] tiktoken
 from transformers import AutoTokenizer
 from optimum.intel.openvino import OVModelForCausalLM
 
-model_id = "OpenVINO/codegen25-7b-multi-fp16-ov"
+model_id = "OpenVINO/codegen25-7b-multi-int8-ov"
 tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
 model = OVModelForCausalLM.from_pretrained(model_id)
 text = "def hello_world():"
@@ -45,6 +53,38 @@ print(tokenizer.decode(generated_ids[0], skip_special_tokens=True))
 
 For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
 
+## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
+
+1. Install packages required for using OpenVINO GenAI.
+```
+pip install openvino-genai huggingface_hub
+```
+
+2. Download model from HuggingFace Hub
+   
+```
+import huggingface_hub as hf_hub
+
+model_id = "OpenVINO/codegen25-7b-multi-int8-ov"
+model_path = "codegen25-7b-multi-int8-ov"
+
+hf_hub.snapshot_download(model_id, local_dir=model_path)
+
+```
+
+3. Run model inference:
+
+```
+import openvino_genai as ov_genai
+
+device = "CPU"
+pipe = ov_genai.LLMPipeline(model_path, device)
+print(pipe.generate("def hello_world():"))
+```
+
+More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
+
+
 ## Limitations
 
 Check the original model card for [limitations](https://huggingface.co/Salesforce/codegen25-7b-instruct_P#intended-use-and-limitations).