mis_labs_tts is an open-weight model from MIS Labs. It has 4.6B parameters. At 16-bit it needs about 10.9 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 mis_labs_tts (4.6B 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 | 9.1 GB | 10.9 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 4.6 GB | 5.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 2.3 GB | 2.7 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.
mis_labs_tts on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Feed-forward size
- 9,728
- Head dimension
- 128
- Vocabulary size
- 155,776
- Experts
- 1
- Experts active per token
- 1
- Model type
- fish_qwen3_omni
Identity and Version
- Repository
- mislabs/mis_labs_tts
- Publisher
- MIS Labs
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 4.6B parameters
- Languages
- Not stated by the source
- Revision
- 810772406f798fdc8cca60c7a22b99b8f9196d37
- First published
- 2026-10-08
- Last updated
- 2026-10-08
Files and Weights
11 files, 11.0 GB in total. The weights are 3 files totalling 11.0 GB in pth, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| codec.pth | Weights | 1.9 GB | 74fc41c5a715 |
| model-00001-of-00002.safetensors | Weights | 5.0 GB | c4218e8ac93b |
| model-00002-of-00002.safetensors | Weights | 4.1 GB | 76738d23465d |
| config.json | Configuration | 1.9 KB | — |
| model.safetensors.index.json | Configuration | 32.7 KB | — |
| special_tokens_map.json | Configuration | 101.9 KB | — |
| LICENSE | Documentation | 11.1 KB | — |
| chat_template.jinja | Other | 4.1 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 12.2 MB | f24e08099d45 |
| tokenizer_config.json | Tokenizer | 860.8 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 11.0 GB
Released by MIS Labs through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 11.0 GB |
| 16-bit | 9.1 GB |
| 8-bit | 4.6 GB |
| 4-bit | 2.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About mis_labs_tts
How much GPU memory does mis_labs_tts need?
About 10.9 GB at 16-bit and 2.7 GB at 4-bit: the weights (4.6B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run mis_labs_tts 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.