Open-weight model
tourn-6bffc021-instructtext-super-rb0twin
by Firza Hadzami firzahdzm/tourn-6bffc021-instructtext-super-rb0twin
tourn-6bffc021-instructtext-super-rb0twin is an open-weight model from Firza Hadzami. It has 494M parameters and a 131,072-token context. At 16-bit it needs about 1.2 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 tourn-6bffc021-instructtext-super-rb0twin (494M 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 | 1.0 GB | 1.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.5 GB | 0.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.2 GB | 0.3 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.
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- Qwen2ForCausalLM
- Context length (tokens)
- 131,072
- Layers
- 24
- Hidden size
- 896
- Feed-forward size
- 4,864
- Attention heads
- 14
- Key/value heads
- 2
- Vocabulary size
- 151,936
- RoPE base
- 1e+06
- Stored precision
- bfloat16
- Model type
- qwen2
Identity and Version
- Repository
- firzahdzm/tourn-6bffc021-instructtext-super-rb0twin
- Publisher
- Firza Hadzami
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 494M parameters
- Languages
- Not stated by the source
- Revision
- 0efc6dfea170fa05d1e9611af11c349e8042bc83
- First published
- 2026-10-05
- Last updated
- 2026-10-05
Files and Weights
11 files, 1.0 GB in total. The weights are 1 file totalling 988.1 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 988.1 MB | e43880d6d34c |
| added_tokens.json | Configuration | 107 B | — |
| config.json | Configuration | 741 B | — |
| generation_config.json | Configuration | 167 B | — |
| special_tokens_map.json | Configuration | 370 B | — |
| loss.txt | Other | 53 B | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | 9479047c2204 |
| tokenizer_config.json | Tokenizer | 1.5 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 988.1 MB
Released by Firza Hadzami through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 988.1 MB |
| 16-bit | 1.0 GB |
| 8-bit | 0.5 GB |
| 4-bit | 0.2 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About tourn-6bffc021-instructtext-super-rb0twin
How much GPU memory does tourn-6bffc021-instructtext-super-rb0twin need?
About 1.2 GB at 16-bit and 0.3 GB at 4-bit: the weights (494M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run tourn-6bffc021-instructtext-super-rb0twin 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 tourn-6bffc021-instructtext-super-rb0twin's context length?
131,072 tokens, from the maximum position embeddings in its published configuration.