|
--- |
|
license: apache-2.0 |
|
language: |
|
- en |
|
--- |
|
|
|
# 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) |
|
|
|
## Description |
|
|
|
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: |
|
|
|
* OpenVINO version 2024.1.0 and higher |
|
* Optimum Intel 1.16.0 and higher |
|
|
|
## 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: |
|
|
|
``` |
|
pip install optimum[openvino] tiktoken |
|
``` |
|
|
|
2. Run model inference: |
|
|
|
``` |
|
from transformers import AutoTokenizer |
|
from optimum.intel.openvino import OVModelForCausalLM |
|
|
|
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():" |
|
input_ids = tokenizer(text, return_tensors="pt").input_ids |
|
generated_ids = model.generate(input_ids, max_length=128) |
|
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). |
|
|
|
## 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/Salesforce/codegen25-7b-multi_P). |
|
|
|
## 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. |
|
|
