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README.md

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+---
+license: apache-2.0
+license_link: https://choosealicense.com/licenses/apache-2.0/
+---
+# gpt-j-6b-int4-ov
+* Model creator: [EleutherAI](https://huggingface.co/EleutherAI)
+ * Original model: [gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b)
+
+## Description
+This is [gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT4 by [NNCF](https://github.com/openvinotoolkit/nncf).
+
+## Quantization Parameters
+
+Weight compression was performed using `nncf.compress_weights` with the following parameters:
+
+* mode: **int4_asym**
+* ratio: **1.0**
+* group_size: **64**
+
+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:
+
+* OpenVINO version 2024.1.0 and higher
+* Optimum Intel 1.16.0 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:
+
+```
+pip install optimum[openvino]
+```
+
+2. Run model inference:
+
+```
+from transformers import AutoTokenizer
+from optimum.intel.openvino import OVModelForCausalLM
+
+model_id = "OpenVINO/gpt-j-6b-int4-ov"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = OVModelForCausalLM.from_pretrained(model_id)
+
+inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
+
+outputs = model.generate(**inputs, max_length=200)
+text = tokenizer.batch_decode(outputs)[0]
+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).
+
+## Limitations
+
+Check the original model card for [limitations]().
+
+## Legal information
+
+The original model is distributed under [apache-2.0](https://choosealicense.com/licenses/apache-2.0/) license. More details can be found in [original model card](https://huggingface.co/EleutherAI/gpt-j-6b).
+
+## Disclaimer
+
+Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

added_tokens.json

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config.json

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+{
+  "_name_or_path": "EleutherAI/gpt-j-6b",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPTJForCausalLM"
+  ],
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+  "n_positions": 2048,
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+  "rotary_dim": 64,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
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+      "temperature": 1.0
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+  "tie_word_embeddings": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
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+}

generation_config.json

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+  "eos_token_id": 50256,
+  "transformers_version": "4.41.2"
+}

openvino_model.bin

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special_tokens_map.json

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tokenizer_config.json

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+}