Qwen3-4B-Instruct-2507-heretic OpenVINO INT4 for Intel NPU

This repository contains a ready-to-run OpenVINO IR export of p-e-w/Qwen3-4B-Instruct-2507-heretic, prepared for local inference on Intel NPU through OpenVINO Model Server.

This is not a fine-tune. It is an OpenVINO INT4 runtime export of the source model above.

Source model

  • Source model: p-e-w/Qwen3-4B-Instruct-2507-heretic
  • Original base model: Qwen/Qwen3-4B-Instruct-2507
  • Architecture: Qwen3ForCausalLM
  • Task: text generation
  • License: Apache-2.0, inherited from the source model metadata

OpenVINO export

Compression metadata from this export:

{
  "mode": "int4_sym",
  "nncf_mode": "INT4_SYM",
  "group_size": -1,
  "ratio": 1.0,
  "all_layers": true
}

Known local artifact size:

  • openvino_model.bin: about 1.88 GiB

Tested Intel NPU runtime

Tested locally on Windows with OpenVINO Model Server / OpenVINO GenAI:

  • Target device: NPU
  • OVMS task: text_generation
  • Runtime prompt limit: 16384
  • Max concurrent sequences: 1
  • Cache interval multiplier: 64

Example OVMS command:

ovms.exe `
  --model_path Q:/llm/models/OpenVINO/p-e-w--Qwen3-4B-Instruct-2507-heretic-text-fp16-true-int4-sym-cw-ov `
  --model_name p-e-w--Qwen3-4B-Instruct-2507-heretic-int4-npu `
  --rest_port 8000 `
  --rest_bind_address 0.0.0.0 `
  --task text_generation `
  --target_device NPU `
  --max_prompt_len 16384 `
  --max_num_seqs 1 `
  --cache_interval_multiplier 64 `
  --tool_parser hermes3

Local benchmark

Measured on the local Intel NPU setup above with the OVMS OpenAI-compatible chat completions endpoint.

Quantization Load time Avg output speed Working set after runs Private memory after runs
INT4_SYM 532.8 s 11.67 tok/s 7.42 GiB 2.57 GiB

The benchmark prompt was a short three-sentence OpenVINO explanation request with max_tokens=128.

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