Runs On
What it takes to serve citrus-disease-vlm (2.2B 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 | 4.4 GB | 5.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 2.2 GB | 2.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.1 GB | 1.3 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 18, 2026.
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Qwen3_5ForConditionalGeneration
- Context length (tokens)
- 262,144
- Layers
- 24
- Hidden size
- 2,048
- Feed-forward size
- 6,144
- Attention heads
- 8
- Key/value heads
- 2
- Head dimension
- 256
- Vocabulary size
- 248,320
- Model type
- qwen3_5
Identity and Version
- Repository
- ysharma/citrus-disease-vlm
- Publisher
- Yuvraj Sharma
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 2.2B parameters
- Languages
- Not stated by the source
- Revision
- f07e3d5ad5376eddf2d180dd39fdade216703774
- First published
- 2026-09-18
- Last updated
- 2026-09-18
Files and Weights
23 files, 4.5 GB in total. The weights are 3 files totalling 4.5 GB in bin, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter/adapter_model.safetensors | Weights | 67.3 MB | d0b0bcee0261 |
| adapter/training_args.bin | Weights | 5.7 KB | 04793bcda4bb |
| model.safetensors | Weights | 4.4 GB | 29ee09a5a624 |
| adapter/adapter_config.json | Configuration | 1.3 KB | — |
| adapter/processor_config.json | Configuration | 1.2 KB | — |
| config.json | Configuration | 2.8 KB | — |
| eval/results_finetuned.json | Configuration | 5.9 KB | — |
| eval/results_zeroshot.json | Configuration | 5.9 KB | — |
| generation_config.json | Configuration | 164 B | — |
| processor_config.json | Configuration | 1.2 KB | — |
| scripts/eval_citrus.py | Configuration | 6.1 KB | — |
| scripts/train_citrus.py | Configuration | 5.8 KB | — |
| adapter/README.md | Documentation | 5.2 KB | — |
| adapter/chat_template.jinja | Other | 7.8 KB | — |
| chat_template.jinja | Other | 7.8 KB | — |
| eval/confusion_matrix.png | Other | 137.0 KB | 6a73f5bc2935 |
| eval/predictions_finetuned.jsonl | Other | 285.9 KB | — |
| eval/predictions_zeroshot.jsonl | Other | 473.1 KB | — |
| .gitattributes | Repository | 1.7 KB | — |
| adapter/tokenizer.json | Tokenizer | 20.0 MB | b6d27c112837 |
| adapter/tokenizer_config.json | Tokenizer | 1.2 KB | — |
| tokenizer.json | Tokenizer | 20.0 MB | b6d27c112837 |
| tokenizer_config.json | Tokenizer | 1.2 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 4.5 GB
Released by Yuvraj Sharma through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 4.5 GB |
| 16-bit | 4.4 GB |
| 8-bit | 2.2 GB |
| 4-bit | 1.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About citrus-disease-vlm
How much GPU memory does citrus-disease-vlm need?
About 5.3 GB at 16-bit and 1.3 GB at 4-bit: the weights (2.2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run citrus-disease-vlm 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 citrus-disease-vlm's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.