d3968da19e746 is an open-weight model from Ilfan Aulia Nur Pagi. It has 3.8B parameters and a 131,072-token context. At 16-bit it needs about 9.2 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 d3968da19e746 (3.8B 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 | 7.6 GB | 9.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 3.8 GB | 4.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.9 GB | 2.3 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 Oct 18, 2026.
d3968da19e746 on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Phi3ForCausalLM
- Context length (tokens)
- 131,072
- Layers
- 32
- Hidden size
- 3,072
- Feed-forward size
- 8,192
- Attention heads
- 32
- Key/value heads
- 32
- Vocabulary size
- 32,064
- Sliding window (tokens)
- 262,144
- Model type
- phi3
Identity and Version
- Repository
- Jordansky/d3968da19e746
- Publisher
- Ilfan Aulia Nur Pagi
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 3.8B parameters
- Languages
- Not stated by the source
- Revision
- b62fedbd7ec5e648248d44a9d436748d0155dba1
- First published
- 2026-10-04
- Last updated
- 2026-10-04
Files and Weights
9 files, 7.6 GB in total. The weights are 1 file totalling 7.6 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 7.6 GB | 366e67957822 |
| config.json | Configuration | 3.6 KB | — |
| generation_config.json | Configuration | 150 B | — |
| run_meta.json | Configuration | 1.3 KB | — |
| chat_template.jinja | Other | 430 B | — |
| loss.txt | Other | 22 B | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer.json | Tokenizer | 3.6 MB | — |
| tokenizer_config.json | Tokenizer | 602 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 7.6 GB
Released by Ilfan Aulia Nur Pagi through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 7.6 GB |
| 16-bit | 7.6 GB |
| 8-bit | 3.8 GB |
| 4-bit | 1.9 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About d3968da19e746
How much GPU memory does d3968da19e746 need?
About 9.2 GB at 16-bit and 2.3 GB at 4-bit: the weights (3.8B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run d3968da19e746 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 d3968da19e746's context length?
131,072 tokens, from the maximum position embeddings in its published configuration.