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OpenVINO/codegen-6B-multi-int4-ov
codegen-6B-multi-int4-ov is a machine learning model from OpenVINO. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as bsd-3-clause.
Model creator: Salesforce Original model: codegen-6B-multi
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From the Hugging Face model README
This is codegen-6B-multi model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT4 by NNCF.
Weight compression was performed using nncf.compress_weights with the following parameters:
For more information on quantization, check the OpenVINO model optimization guide.
The provided OpenVINO™ IR model is compatible with:
pip install optimum[openvino]
from transformers import AutoTokenizer
from optimum.intel.openvino import OVModelForCausalLM
model_id = "OpenVINO/codegen-6B-multi-int4-ov"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = OVModelForCausalLM.from_pretrained(model_id)
inputs = tokenizer("def print_hello_world():", 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.
pip install openvino-genai huggingface_hub
import huggingface_hub as hf_hub
model_id = "OpenVINO/codegen-6B-multi-int4-ov"
model_path = "codegen-6B-multi-int4-ov"
hf_hub.snapshot_download(model_id, local_dir=model_path)
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 and samples
Check the original model card for original model card for limitations.
The original model is distributed under bsd-3-clause license. More details can be found in original model card.
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