Open-weight model
tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf
by Christopher Subia-Waud cwaud/tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf
tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf is an open-weight model from Christopher Subia-Waud. It has 3.9B parameters and a 262,144-token context. At 16-bit it needs about 9.4 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-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf (3.9B 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 | 7.9 GB | 9.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 3.9 GB | 4.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 2.0 GB | 2.4 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
- LlamaForCausalLM
- Context length (tokens)
- 262,144
- Layers
- 32
- Hidden size
- 2,560
- Feed-forward size
- 10,496
- Attention heads
- 20
- Key/value heads
- 4
- Head dimension
- 128
- Vocabulary size
- 166,144
- Model type
- llama
Identity and Version
- Repository
- cwaud/tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf
- Publisher
- Christopher Subia-Waud
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 3.9B parameters
- Languages
- Not stated by the source
- Revision
- 7be587ed344a68d5dbb6b175d17d8288da523609
- First published
- 2026-10-08
- Last updated
- 2026-10-08
Files and Weights
9 files, 7.9 GB in total. The weights are 1 file totalling 7.9 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 7.9 GB | 1efe9a957d9d |
| config.json | Configuration | 783 B | — |
| generation_config.json | Configuration | 152 B | — |
| chat_template.jinja | Other | 5.5 KB | — |
| loss.txt | Other | 23 B | — |
| .gitattributes | Repository | 1.6 KB | — |
| .sn56_save_complete | Repository | 18 B | — |
| tokenizer.json | Tokenizer | 18.5 MB | a002676e9237 |
| tokenizer_config.json | Tokenizer | 455 B | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 7.9 GB
Released by Christopher Subia-Waud through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 7.9 GB |
| 16-bit | 7.9 GB |
| 8-bit | 3.9 GB |
| 4-bit | 2.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf
How much GPU memory does tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf need?
About 9.4 GB at 16-bit and 2.4 GB at 4-bit: the weights (3.9B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run tournament-exp-s1-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf 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-a94cacec-7ab4-5f41-94d8-0e92dfa4fcf3-5Exp08c2bd22d1d66ddf's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.