metadata
license: apache-2.0
base_model: ibm-granite/granite-4.1-8b
base_model_relation: quantized
tags:
- openvino
- int4
- awq
- intel
- arc
- igpu
- core-ultra
language:
- en
pipeline_tag: text-generation
granite-4.1-8b — OpenVINO INT4 (channel-wise, symmetric, AWQ-calibrated)
OpenVINO IR conversion of ibm-granite/granite-4.1-8b (dense 40-layer transformer, 128k context, Apache-2.0). To our knowledge the first OpenVINO IR of this model. Quantized INT4 symmetric channel-wise with AWQ + scale-estimation calibration (data-aware calibration, applied from the start).
Converted with optimum-cli (optimum-intel git-master, transformers 4.57.6):
optimum-cli export openvino -m ibm-granite/granite-4.1-8b \
--task text-generation-with-past --weight-format int4 --sym --group-size -1 \
--awq --scale-estimation --dataset wikitext2 \
granite-4.1-8b-int4-cw-ov
Related
Related artifacts: granite-4.1-3b-int4-cw-ov (same recipe, smaller/faster) and granite-4.1-3b-int8-ov.
Usage (OpenVINO GenAI)
import openvino_genai as ov_genai
pipe = ov_genai.LLMPipeline("granite-4.1-8b-int4-cw-ov", "GPU", CACHE_DIR="./.ovcache")
print(pipe.generate("Write a Python function that merges overlapping intervals.",
max_new_tokens=256))
Tested end-to-end as an OpenAI-compatible Continue.dev backend via core-ultra-llm-server.
Provenance
- Base model:
ibm-granite/granite-4.1-8b(IBM, Apache-2.0, released 2026-04) - Calibration: AWQ + scale estimation on wikitext2 (NNCF defaults)
- Conversion date: 2026-06-05
- No finetuning — weights are a direct quantization of the original