Open-weight model
tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d
by Christopher Subia-Waud cwaud/tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d
tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d is an open-weight model from Christopher Subia-Waud. It has 1.2B parameters and a 131,072-token context. At 16-bit it needs about 3 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-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d (1.2B 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 | 2.5 GB | 3.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 1.2 GB | 1.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.6 GB | 0.7 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
- LlamaForCausalLM
- Context length (tokens)
- 131,072
- Layers
- 16
- Hidden size
- 2,048
- Feed-forward size
- 8,192
- Attention heads
- 32
- Key/value heads
- 8
- Head dimension
- 64
- Vocabulary size
- 128,256
- Model type
- llama
Identity and Version
- Repository
- cwaud/tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d
- Publisher
- Christopher Subia-Waud
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 1.2B parameters
- Languages
- Not stated by the source
- Revision
- f0969417f56857347c0ae699ade25e83420eac4c
- First published
- 2026-10-09
- Last updated
- 2026-10-09
Files and Weights
9 files, 2.5 GB in total. The weights are 1 file totalling 2.5 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 2.5 GB | 33775db59f46 |
| config.json | Configuration | 889 B | — |
| generation_config.json | Configuration | 234 B | — |
| chat_template.jinja | Other | 3.8 KB | — |
| loss.txt | Other | 22 B | — |
| .gitattributes | Repository | 1.6 KB | — |
| .sn56_save_complete | Repository | 18 B | — |
| tokenizer.json | Tokenizer | 17.2 MB | 6b9e4e7fb171 |
| tokenizer_config.json | Tokenizer | 415 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 2.5 GB
Released by Christopher Subia-Waud through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 2.5 GB |
| 16-bit | 2.5 GB |
| 8-bit | 1.2 GB |
| 4-bit | 0.6 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d
How much GPU memory does tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d need?
About 3 GB at 16-bit and 0.7 GB at 4-bit: the weights (1.2B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run tournament-exp-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d 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-s1-067761fe-b567-44d7-8863-4cd41cc12261-5Exp7c5e7d0eb573ff8d's context length?
131,072 tokens, from the maximum position embeddings in its published configuration.