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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Base model
Qwen/Qwen3-4B-Instruct-2507