Downloads · 30 days
12
29% of all-time downloads
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT8
Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT8 is a text generation model from JoaoZaokk. Use it when you need the model to write or continue text. It is set up for openvino. The card lists the license as other.
Note about the missing weights (2026-09-03) For a long time this repository contained only this model card and none of the actual model files. That was my own mistake: back in June I created the repo and pushed the RE…
Downloads · 30 days
12
29% of all-time downloads
All-time downloads
41
Public
Repo size
4 GB
Likes
0
Public
Click a slice to open those files.
.bin4 GB · 100%
From the Hugging Face model README
Note about the missing weights (2026-09-03)
For a long time this repository contained only this model card and none of the actual model files. That was my own mistake: back in June I created the repo and pushed the README, but I never actually completed the upload of the OpenVINO IR weights. I only noticed it now, while uploading other models.
The weights have now been uploaded. The export itself was never lost or corrupted — it had been sitting intact on my local machine the whole time.
Sorry to anyone who landed here earlier and found an empty repository.
This repository contains the OpenVINO INT8 export of:
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback
The source model is a merged code-focused fine-tune based on:
JoaoZaokk/Qwen3-4B-Thinking-2507-MiniMax-M2.1-Distill-heretic
This version was converted from the full merged safetensors model to OpenVINO IR with INT8 weight compression.
Compared with the INT4 version, this INT8 export is expected to be larger and may use more VRAM, but it should preserve more of the original model quality.
| Repository | Description |
|---|---|
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback | Master merged safetensors model |
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT4 | OpenVINO INT4 export |
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT8 | OpenVINO INT8 export |
JoaoZaokk/Qwen3-4B-Thinking-2507-MiniMax-M2.1-Distill-heretic | Heretic source/base lineage model |
| Item | Value |
|---|---|
| Source model | JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback |
| Format | OpenVINO IR |
| Weight compression | INT8 |
| Intended runtime | OpenVINO / OpenVINO GenAI |
| Recommended device | Intel Arc / Intel GPU with OpenVINO support |
| Main use | Quality comparison against INT4 |
optimum-cli export openvino \
--model ~/models-src/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback \
--task text-generation-with-past \
--weight-format int8 \
--trust-remote-code \
./Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT8
The INT8 export does not need INT4-specific options such as --group-size 128 or --ratio 1.0.
This INT8 version is mainly intended as a comparison build against:
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT4
General expected tradeoff:
| Version | Size | VRAM use | Speed | Quality |
|---|---|---|---|---|
| OpenVINO INT4 | Smaller | Lower | Faster | Slightly more compressed |
| OpenVINO INT8 | Larger | Higher | Possibly slower | Usually more faithful |
Actual results depend on OpenVINO version, Intel GPU driver, context length, prompt, batch size, and runtime configuration.
curl -X POST http://localhost:8000/openarc/load \
-H "Content-Type: application/json" \
-d '{
"model_path": "/models/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT8",
"model_name": "Qwen3-4B-Thinking-2507-Heretic-CodeFeedback-OpenVINO-INT8",
"model_type": "llm",
"engine": "ovgenai",
"device": "GPU.0",
"runtime_config": {}
}'
The source model was trained with QLoRA/LoRA on Python and code instruction datasets, then merged back into the base model.
| Dataset | Samples used | Notes |
|---|---|---|
iamtarun/python_code_instructions_18k_alpaca | 5,000 | Python instruction/code examples |
m-a-p/CodeFeedback-Filtered-Instruction | 5,000 | Code instruction and feedback examples |
A SWE-smith trajectory experiment was tested separately, but it was not used in the final merged version.
| Parameter | Value |
|---|---|
| LoRA rank | 16 |
| LoRA alpha | 32 |
| LoRA dropout | 0.05 |
| Sequence length | 2048 |
| Epochs per stage | 1 |
| Quantized loading during training | 4-bit NF4 |
| Trainable parameters | ~33M |
| Trainable percentage | ~0.81% |
Target modules:
q_projk_projv_projo_projgate_projup_projdown_projThis INT8 OpenVINO version is intended for:
| Hardware | Expected status |
|---|---|
| Intel Arc A750 8 GB | Should be possible, but may use more VRAM than INT4 |
| Intel Arc A770 16 GB | Better target for INT8 |
| Intel Flex / Data Center GPU | May work if OpenVINO sees the GPU |
| CPU-only | Possible but slower |
| NVIDIA CUDA runtimes | Use the original safetensors, AWQ, GPTQ, or GGUF instead |
This is not the original F16 model. This is an OpenVINO INT8 compressed export.
For further conversions, use the original merged safetensors repository as the master source:
JoaoZaokk/Qwen3-4B-Thinking-2507-Heretic-CodeFeedback
This is an experimental model. It may produce incorrect code, unsafe suggestions, or hallucinated explanations. Outputs should be reviewed before use in production or security-sensitive environments.