OpenVINO IR conversion of LiquidAI/LFM2.5-1.2B-Instruct (hybrid conv+attention, on-device class), quantized to INT4 asymmetric, group size 128 (data-free / NNCF defaults) for Intel Core Ultra iGPUs.

bash

optimum-cli export openvino -m LiquidAI/LFM2.5-1.2B-Instruct \
  --task text-generation-with-past --weight-format int4 --group-size 128 --ratio 1.0 \
  LFM2.5-1.2B-Instruct-int4-ov

Usage (OpenVINO GenAI)

python

import openvino_genai as ov_genai

pipe = ov_genai.LLMPipeline("LFM2.5-1.2B-Instruct-int4-ov", "GPU", CACHE_DIR="./.ovcache")
print(pipe.generate("Write a Python function that reverses a string.", max_new_tokens=128))

Fast, lightweight autocomplete/chat backend; tested end-to-end as an OpenAI-compatible Continue.dev backend via core-ultra-llm-server.

Provenance

Base model: LiquidAI/LFM2.5-1.2B-Instruct (Liquid AI)
Recipe: INT4 asymmetric, group_size 128, ratio 1.0, data-free (NNCF defaults)
No finetuning - weights are a direct quantization of the original

HarmenWessels/LFM2.5-1.2B-Instruct-int4-ov

LFM2.5-1.2B-Instruct - OpenVINO INT4

Usage (OpenVINO GenAI)

Provenance

HarmenWessels/
LFM2.5-1.2B-Instruct-int4-ov