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OpenVINO/starcoder2-7b-int8-ov
starcoder2-7b-int8-ov is a text generation model from OpenVINO. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as bigcode-openrail-m.
Model creator: BigCode Original model: bigcode/starcoder2-7b
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From the Hugging Face model README
This is bigcode/starcoder2-7b model converted to the OpenVINO™ IR (Intermediate Representation) format with weights compressed to INT8 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/starcoder2-7b-int8-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/starcoder2-7b-int8-ov"
model_path = "starcoder2-7b-int8-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
The original model is distributed under bigcode-openrail-m license. More details can be found in bigcode/starcoder2-7b.
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