This model is a quantized version of tiiuae/Falcon3-10B-Instruct and is converted to the OpenVINO format. This model was obtained via the nncf-quantization space with optimum-intel.
First make sure you have optimum-intel installed:
pip install optimum[openvino]
To load your model you can do as follows:
from optimum.intel import OVModelForCausalLM
model_id = "AIFunOver/Falcon3-10B-Instruct-openvino-4bit"
model = OVModelForCausalLM.from_pretrained(model_id)
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.170
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard44.820
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard25.910
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.510
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.610
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.100