textlm3 is an open-weight model from Ebisuke. It has 1.9B parameters and a 262,144-token context. At 16-bit it needs about 4.7 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 textlm3 (1.9B 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 | 3.9 GB | 4.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 1.9 GB | 2.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 1.0 GB | 1.2 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.
textlm3 on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- TextLMModel
- Context length (tokens)
- 262,144
- Layers
- 24
- Hidden size
- 2,048
- Feed-forward size
- 6,144
- Attention heads
- 8
- Key/value heads
- 2
- Head dimension
- 256
- Vocabulary size
- 248,320
- Model type
- text_lm
Identity and Version
- Repository
- ebisuke/textlm3
- Publisher
- Ebisuke
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 1.9B parameters
- Languages
- Not stated by the source
- Revision
- c72b66f65b0a515df1e4197289a96839601807cc
- First published
- 2026-09-28
- Last updated
- 2026-09-29
Files and Weights
6 files, 17.9 GB in total. The weights are 2 files totalling 17.9 GB in pt, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 7.8 GB | 0ae73c8f5dd8 |
| optimizer.pt | Weights | 10.1 GB | f705dd22c0ea |
| config.json | Configuration | 2.3 KB | — |
| generation_config.json | Configuration | 179 B | — |
| state.json | Configuration | 21 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 17.9 GB
Released by Ebisuke through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 17.9 GB |
| 16-bit | 3.9 GB |
| 8-bit | 1.9 GB |
| 4-bit | 1.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About textlm3
How much GPU memory does textlm3 need?
About 4.7 GB at 16-bit and 1.2 GB at 4-bit: the weights (1.9B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run textlm3 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 textlm3's context length?
262,144 tokens, from the maximum position embeddings in its published configuration.