Open-weight model
fr3-tabletop-multitask-oft-305k
by Alex Taylor taalyelxor/fr3-tabletop-multitask-oft-305k
fr3-tabletop-multitask-oft-305k is an open-weight model from Alex Taylor. It has 7.5B parameters. At 16-bit it needs about 18.1 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 fr3-tabletop-multitask-oft-305k (7.5B 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 | 15.1 GB | 18.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 7.5 GB | 9.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 3.8 GB | 4.5 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.
fr3-tabletop-multitask-oft-305k on every accelerator the SAVRN Index prices, at every precision
Model Card
The publisher has not written a card for this model.
Configuration
- Architecture
- OpenVLAForActionPrediction
- Vocabulary size
- 32,064
- Stored precision
- bfloat16
- Model type
- openvla
Identity and Version
- Repository
- taalyelxor/fr3-tabletop-multitask-oft-305k
- Publisher
- Alex Taylor
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 7.5B parameters
- Languages
- Not stated by the source
- Revision
- a22632c2cd2b6cfa77e7f3b3b168c6a2d95746a9
- First published
- 2026-09-20
- Last updated
- 2026-09-20
Files and Weights
25 files, 15.9 GB in total. The weights are 7 files totalling 15.9 GB in pt, safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| action_head--305000_checkpoint.pt | Weights | 302.2 MB | 80bd95a7ce68 |
| lora_adapter/adapter_model.safetensors | Weights | 484.5 MB | d6178275cdb9 |
| model-00001-of-00004.safetensors | Weights | 4.9 GB | a881d9523431 |
| model-00002-of-00004.safetensors | Weights | 4.9 GB | d720cb13374f |
| model-00003-of-00004.safetensors | Weights | 4.9 GB | ee0418a6bc15 |
| model-00004-of-00004.safetensors | Weights | 262.7 MB | a877e3fece1f |
| proprio_projector--305000_checkpoint.pt | Weights | 67.3 MB | 345cb2dd08dd |
| added_tokens.json | Configuration | 21 B | — |
| config.json | Configuration | 60.9 KB | — |
| configuration_prismatic.py | Configuration | 5.9 KB | — |
| dataset_statistics.json | Configuration | 3.1 KB | — |
| generation_config.json | Configuration | 136 B | — |
| lora_adapter/adapter_config.json | Configuration | 1.1 KB | — |
| model.safetensors.index.json | Configuration | 94.8 KB | — |
| modeling_prismatic.py | Configuration | 50.5 KB | — |
| policy_artifact.json | Configuration | 5.0 KB | — |
| preprocessor_config.json | Configuration | 1.6 KB | — |
| processing_prismatic.py | Configuration | 12.7 KB | — |
| processor_config.json | Configuration | 130 B | — |
| special_tokens_map.json | Configuration | 552 B | — |
| lora_adapter/README.md | Documentation | 5.2 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer.json | Tokenizer | 1.8 MB | — |
| tokenizer.model | Tokenizer | 499.7 KB | 9e556afd4421 |
| tokenizer_config.json | Tokenizer | 1.2 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 15.9 GB
Released by Alex Taylor through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 15.9 GB |
| 16-bit | 15.1 GB |
| 8-bit | 7.5 GB |
| 4-bit | 3.8 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About fr3-tabletop-multitask-oft-305k
How much GPU memory does fr3-tabletop-multitask-oft-305k need?
About 18.1 GB at 16-bit and 4.5 GB at 4-bit: the weights (7.5B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run fr3-tabletop-multitask-oft-305k 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.