Open-weight model
twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61
by Annie Amorim anorim/twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61
Runs On
What it takes to serve twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61 (279M 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 | 0.6 GB | 0.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.3 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 GB | 0.2 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 Sep 18, 2026.
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- BertForSequenceClassification
- Context length (tokens)
- 512
- Layers
- 12
- Hidden size
- 768
- Feed-forward size
- 3,072
- Attention heads
- 12
- Vocabulary size
- 250,002
- Model type
- bert
Identity and Version
- Repository
- anorim/twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61
- Publisher
- Annie Amorim
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 279M parameters
- Languages
- Not stated by the source
- Revision
- a74ceadcb502fb219888bfa22ba70fe4cffb16e8
- First published
- 2026-09-18
- Last updated
- 2026-09-18
Files and Weights
6 files, 1.1 GB in total. The weights are 1 file totalling 1.1 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 1.1 GB | 56a8ece8d905 |
| config.json | Configuration | 602 B | — |
| special_tokens_map.json | Configuration | 964 B | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 17.1 MB | 3a56def25aa4 |
| tokenizer_config.json | Tokenizer | 1.2 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 1.1 GB
Released by Annie Amorim through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 1.1 GB |
| 16-bit | 0.6 GB |
| 8-bit | 0.3 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61
How much GPU memory does twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61 need?
About 0.7 GB at 16-bit and 0.2 GB at 4-bit: the weights (279M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61 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 twhinbert-fusion-6-ties-k0.5-l0.9-bestcross-hatebr-olidbr-toldbr-tupy-v61's context length?
512 tokens, from the maximum position embeddings in its published configuration.