Open-weight model
tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167
by Christopher Subia-Waud cwaud/tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167
tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167 is an open-weight model from Christopher Subia-Waud. It has 596M parameters and a 32,768-token context. At 16-bit it needs about 1.4 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 tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167 (596M 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 | 1.2 GB | 1.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.6 GB | 0.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.3 GB | 0.4 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
- Qwen3ForCausalLM
- Context length (tokens)
- 32,768
- Layers
- 28
- Hidden size
- 1,024
- Feed-forward size
- 3,072
- Attention heads
- 16
- Key/value heads
- 8
- Head dimension
- 128
- Vocabulary size
- 151,936
- Model type
- qwen3
Identity and Version
- Repository
- cwaud/tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167
- Publisher
- Christopher Subia-Waud
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 596M parameters
- Languages
- Not stated by the source
- Revision
- a657efdf316ea63e7ecfd2c54377185c36603c11
- First published
- 2026-10-14
- Last updated
- 2026-10-14
Files and Weights
9 files, 1.2 GB in total. The weights are 1 file totalling 1.2 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 1.2 GB | 065104a42e36 |
| config.json | Configuration | 1.4 KB | — |
| generation_config.json | Configuration | 149 B | — |
| chat_template.jinja | Other | 4.1 KB | — |
| loss.txt | Other | 23 B | — |
| .gitattributes | Repository | 1.6 KB | — |
| .sn56_save_complete | Repository | 18 B | — |
| tokenizer.json | Tokenizer | 11.4 MB | be75606093db |
| tokenizer_config.json | Tokenizer | 696 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 1.2 GB
Released by Christopher Subia-Waud through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 1.2 GB |
| 16-bit | 1.2 GB |
| 8-bit | 0.6 GB |
| 4-bit | 0.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167
How much GPU memory does tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167 need?
About 1.4 GB at 16-bit and 0.4 GB at 4-bit: the weights (596M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167 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 tournament-exp-s1-f644ed68-ef1b-4e2b-9709-e301680e4958-5Exp383c5a08e763f167's context length?
32,768 tokens, from the maximum position embeddings in its published configuration.