Open-weight model
Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2
by GUI-Gym GUI-Gym/Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2
Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2 is an open-weight model from GUI-Gym. It has 4.8B parameters and a 262,144-token context. At 16-bit it needs about 11.6 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 Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2 (4.8B 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 | 9.7 GB | 11.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 4.8 GB | 5.8 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 2.4 GB | 2.9 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
- Qwen3VLForConditionalGeneration
- Context length (tokens)
- 262,144
- Layers
- 36
- Hidden size
- 2,560
- Feed-forward size
- 9,728
- Attention heads
- 32
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,936
- RoPE base
- 5,000,000
- Model type
- qwen3_vl
Identity and Version
- Repository
- GUI-Gym/Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2
- Publisher
- GUI-Gym
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 4.8B parameters
- Languages
- Not stated by the source
- Revision
- ac65f8f4bdf04f353b8fad9aadbc36756fcc0fe1
- First published
- 2026-10-02
- Last updated
- 2026-10-02
Files and Weights
15 files, 9.7 GB in total. The weights are 2 files totalling 9.7 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00002.safetensors | Weights | 5.0 GB | bfc0d5c1b972 |
| model-00002-of-00002.safetensors | Weights | 4.7 GB | 835ed1e55158 |
| added_tokens.json | Configuration | 707 B | — |
| config.json | Configuration | 1.6 KB | — |
| generation_config.json | Configuration | 213 B | — |
| model.safetensors.index.json | Configuration | 64.8 KB | — |
| preprocessor_config.json | Configuration | 782 B | — |
| special_tokens_map.json | Configuration | 613 B | — |
| video_preprocessor_config.json | Configuration | 817 B | — |
| chat_template.jinja | Other | 5.3 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | aeb13307a71a |
| tokenizer_config.json | Tokenizer | 5.4 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 9.7 GB
Released by GUI-Gym through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 9.7 GB |
| 16-bit | 9.7 GB |
| 8-bit | 4.8 GB |
| 4-bit | 2.4 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2
How much GPU memory does Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2 need?
About 11.6 GB at 16-bit and 2.9 GB at 4-bit: the weights (4.8B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2 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 Qwen3-VL-4B-android-world-new-tasks-v1-run_id-2's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.