Zephyr-7B-beta OpenVINO (INT8)
OpenVINO IR conversion of HuggingFaceH4/zephyr-7b-beta with weight-only INT8 quantization, produced on CPU-only Kaggle with optimum-cli (fully offline, token-free).
- Base model:
HuggingFaceH4/zephyr-7b-beta(MistralForCausalLM, 7.25B params, Apache-2.0) - Task:
text-generation - Precision: weights INT8 (NNCF), activations FP16/FP32 as traced
- Converted with:
optimum-intel 2.2.0,openvino 2026.4.1,transformers 5.16.1 - Fine-tuned on UltraChat + UltraFeedback (DPO)
Usage
optimum-intel
from optimum.intel import OVModelForCausalLM
from transformers import AutoTokenizer
model = OVModelForCausalLM.from_pretrained("Nekodeus/zephyr-7b-beta-openvino")
tok = AutoTokenizer.from_pretrained("Nekodeus/zephyr-7b-beta-openvino")
inputs = tok("<|system|>\nYou are a helpful assistant.</s>\n<|user|>\nWhat is OpenVINO?</s>\n<|assistant|>\n", return_tensors="pt")
print(tok.decode(model.generate(**inputs, max_new_tokens=128)[0]))
OpenVINO GenAI
ov::genai::LLMPipeline pipe("path/to/Nekodeus/zephyr-7b-beta-openvino", "CPU");
Reproduce
optimum-cli export openvino \
--model HuggingFaceH4/zephyr-7b-beta \
--task text-generation \
--weight-format int8 \
zephyr-7b-beta-openvino
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