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Open-weight model · Image and text to text

Qwen-Image-2.1-PE-I2I-Heretic-NVFP4

by Darrellbest darrellbest/Qwen-Image-2.1-PE-I2I-Heretic-NVFP4

Qwen-Image-2.1-PE-I2I-Heretic-NVFP4 is an open-weight model for image and text to text from Darrellbest, released under other. It has 9.4B parameters and a 262,144-token context. At 16-bit it needs about 22.6 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 29 downloads a month.

NVFP4 (4-bit floating point, W4A4) build of darrellbest/Qwen-Image-2.1-PE-I2I-Heretic, the refusal-ablated image-editing prompt rewriter for Qwen-Image-2.1. For vLLM on NVIDIA Blackwell GPUs, which run NVFP4 natively. 11 GB instead of 18 GB.

Parameters9.4B
Context262,144
Weights11.2 GB
Licenseother
AccessOpen weights
Monthly Downloads29

Runs On

What it takes to serve Qwen-Image-2.1-PE-I2I-Heretic-NVFP4 (9.4B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 18.8 GB 22.6 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 9.4 GB 11.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 4.7 GB 5.6 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 24, 2026.

Qwen-Image-2.1-PE-I2I-Heretic-NVFP4 on every accelerator the SAVRN Index prices, at every precision

Model Card

NVFP4 (4-bit floating point, W4A4) build of darrellbest/Qwen-Image-2.1-PE-I2I-Heretic, the refusal-ablated image-editing prompt rewriter for Qwen-Image-2.1. For vLLM on NVIDIA Blackwell GPUs, which run NVFP4 natively. 11 GB instead of 18 GB. systemprompt.txt is included and required, exactly as for the original. The linear-attention layers carry a recurrent state and the vision tower encodes the input image; both were left in bf16, as other quantizations of this model family do. That is why the file is 11 GB rather than ~6 GB. Made with llm-compressor 0.13.0 (QuantizationModifier, scheme="NVFP4"), calibrated on 64 samples in the model's real input format: its own system prompt, an edit…

Excerpt from the card by Darrellbest, licensed other.

Configuration

Architecture
Qwen3_5ForConditionalGeneration
Context length (tokens)
262,144
Layers
32
Hidden size
4,096
Feed-forward size
12,288
Attention heads
16
Key/value heads
4
Head dimension
256
Vocabulary size
248,320
Model type
qwen3_5
Quantization
compressed-tensors

Identity and Version

Repository
darrellbest/Qwen-Image-2.1-PE-I2I-Heretic-NVFP4
Publisher
Darrellbest
Task
Image and text to text
Modality
Image and text
Library
Not stated by the source
Parameters
9.4B parameters
Languages
Not stated by the source
Revision
fa02256ffed1f356d5701a7a7576b175d1392568
First published
2026-09-22
Last updated
2026-09-24

Files and Weights

12 files, 11.2 GB in total. The weights are 1 file totalling 11.2 GB in safetensors.

Weights1 file · 11.2 GB
Configuration4 files · 20.9 KB
Tokenizer2 files · 20.0 MB
Documentation2 files · 11.4 KB
Other2 files · 26.1 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights11.2 GB 783555b072a4
config.jsonConfiguration19.2 KB
generation_config.jsonConfiguration179 B
processor_config.jsonConfiguration1.3 KB
recipe.yamlConfiguration269 B
LICENSEDocumentation7.8 KB
README.mdDocumentation3.5 KB
chat_template.jinjaOther7.8 KB
system_prompt.txtOther18.3 KB
.gitattributesRepository1.6 KB
tokenizer.jsonTokenizer20.0 MB 87a7830d63fc
tokenizer_config.jsonTokenizer1.2 KB

License and Download

License
other
Access
Open weights, no gate
Download size
11.2 GB
Download from Darrellbest

Released by Darrellbest through its official repository on Hugging Face.

Built From

Memory Requirements

PrecisionWeights in memory
As published11.2 GB
16-bit18.8 GB
8-bit9.4 GB
4-bit4.7 GB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About Qwen-Image-2.1-PE-I2I-Heretic-NVFP4

How much GPU memory does Qwen-Image-2.1-PE-I2I-Heretic-NVFP4 need?

About 22.6 GB at 16-bit and 5.6 GB at 4-bit: the weights (9.4B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Qwen-Image-2.1-PE-I2I-Heretic-NVFP4 on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

What license is Qwen-Image-2.1-PE-I2I-Heretic-NVFP4 released under?

other, as its publisher declares it. Read the license text before commercial use.

What is Qwen-Image-2.1-PE-I2I-Heretic-NVFP4's context length?

262,144 tokens, from the maximum position embeddings in its published configuration.

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