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README.md

@@ -14,7 +14,7 @@ This is [codegen25-7b-multi](https://huggingface.co/Salesforce/codegen25-7b-mult
 Weight compression was performed using `nncf.compress_weights` with the following parameters:
 
 * mode: **int4_asym**
-* ratio: **0.8**
+* ratio: **1**
 * group_size: **128**
 
 For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
@@ -24,11 +24,10 @@ For more information on quantization, check the [OpenVINO model optimization gui
 
 The provided OpenVINO™ IR model is compatible with:
 
-* OpenVINO version 2024.2.0 and higher
-* Optimum Intel 1.19.0 and higher
-
-## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
+* OpenVINO version 2024.4.0 and higher
+* Optimum Intel 1.20.0 and higher
 
+## Running Model Inference
 
 1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
 
@@ -46,7 +45,7 @@ model_id = "OpenVINO/codegen25-7b-multi-int4-ov"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = OVModelForCausalLM.from_pretrained(model_id)
 
-inputs = tokenizer("def print_hello_world():", return_tensors="pt")
+inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
 
 outputs = model.generate(**inputs, max_length=200)
 text = tokenizer.batch_decode(outputs)[0]
@@ -55,40 +54,9 @@ print(text)
 
 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-int4-ov"
-model_path = "codegen25-7b-multi-int4-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 print_hello_world():", max_length=200))
-```
-
-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]().
+Check the original model card for [original model card](https://huggingface.co/Salesforce/codegen25-7b-multi) for limitations.
 
 ## Legal information
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "OpenVINO/codegen25-7b-multi-int4-ov",
+  "_name_or_path": "Salesforce/codegen25-7b-multi",
   "architectures": [
     "LlamaForCausalLM"
   ],
@@ -7,6 +7,7 @@
   "attention_dropout": 0.0,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
+  "head_dim": 128,
   "hidden_act": "silu",
   "hidden_size": 4096,
   "initializer_range": 0.02,
@@ -23,7 +24,7 @@
   "rope_scaling": null,
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
-  "transformers_version": "4.41.2",
+  "transformers_version": "4.45.2",
   "use_cache": true,
   "vocab_size": 51200
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 50256,
   "eos_token_id": 50256,
-  "transformers_version": "4.41.2"
+  "transformers_version": "4.45.2"
 }

openvino_detokenizer.bin

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openvino_detokenizer.xml

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openvino_tokenizer.xml

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+	<rt_info>
+		<eos_token_id value="50256" />
+		<original_tokenizer_class value="&lt;class 'transformers_modules.pytorch.tokenization_codegen25.CodeGen25Tokenizer'>" />
+	</rt_info>
+</net>

tokenization_codegen25.py

@@ -245,4 +245,4 @@ class CodeGen25Tokenizer(PreTrainedTokenizer):
 
     # has no vocab file
     def save_vocabulary(self, save_directory: str, filename_prefix: Optional[str] = None):
-        return ()
+        return ()

tokenizer_config.json

@@ -18,7 +18,7 @@
   },
   "clean_up_tokenization_spaces": true,
   "eos_token": "<|endoftext|>",
-  "model_max_length": 2048,
+  "model_max_length": 1000000000000000019884624838656,
   "pad_token": null,
   "tokenizer_class": "CodeGen25Tokenizer"
 }