Open-weight model
patch-shuffle-structural-consensus-4b-step-60
by Yihao Quan 0x33B/patch-shuffle-structural-consensus-4b-step-60
patch-shuffle-structural-consensus-4b-step-60 is an open-weight model from Yihao Quan. It has 5.2B parameters and a 262,144-token context. At 16-bit it needs about 12.4 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Runs On
What it takes to serve patch-shuffle-structural-consensus-4b-step-60 (5.2B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 10.3 GB | 12.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 5.2 GB | 6.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 2.6 GB | 3.1 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 Oct 18, 2026.
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Qwen3_5ForConditionalGeneration
- Context length (tokens)
- 262,144
- Layers
- 32
- Hidden size
- 2,560
- Feed-forward size
- 9,216
- Attention heads
- 16
- Key/value heads
- 4
- Head dimension
- 256
- Vocabulary size
- 248,320
- Model type
- qwen3_5
Identity and Version
- Repository
- 0x33B/patch-shuffle-structural-consensus-4b-step-60
- Publisher
- Yihao Quan
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 5.2B parameters
- Languages
- Not stated by the source
- Revision
- 13a3bc20b5506dbeb6012b961bf1aa4f2350eb5b
- First published
- 2026-09-24
- Last updated
- 2026-09-24
Files and Weights
12 files, 10.4 GB in total. The weights are 1 file totalling 10.4 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 10.4 GB | 07dc518bde2d |
| config.json | Configuration | 2.9 KB | — |
| generation_config.json | Configuration | 205 B | — |
| preprocessor_config.json | Configuration | 390 B | — |
| processor_config.json | Configuration | 1.2 KB | — |
| video_preprocessor_config.json | Configuration | 385 B | — |
| chat_template.jinja | Other | 5.4 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 3.4 MB | — |
| tokenizer.json | Tokenizer | 20.0 MB | 06b9509352d2 |
| tokenizer_config.json | Tokenizer | 1.2 KB | — |
| vocab.json | Tokenizer | 6.7 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 10.4 GB
Released by Yihao Quan through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 10.4 GB |
| 16-bit | 10.3 GB |
| 8-bit | 5.2 GB |
| 4-bit | 2.6 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About patch-shuffle-structural-consensus-4b-step-60
How much GPU memory does patch-shuffle-structural-consensus-4b-step-60 need?
About 12.4 GB at 16-bit and 3.1 GB at 4-bit: the weights (5.2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run patch-shuffle-structural-consensus-4b-step-60 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 is patch-shuffle-structural-consensus-4b-step-60's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.