Open-weight model
lvr-export-lvr_pet_textcot_10k_nonema
by Rlyang yrlyrl/lvr-export-lvr_pet_textcot_10k_nonema
lvr-export-lvr_pet_textcot_10k_nonema is an open-weight model from Rlyang, released under Apache License 2.0. It has 14.6B parameters and a 32,768-token context. At 16-bit it needs about 35 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 lvr-export-lvr_pet_textcot_10k_nonema (14.6B 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 | 29.2 GB | 35.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 14.6 GB | 17.5 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 7.3 GB | 8.7 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 19, 2026.
Model Card
By Rlyang, published under apache-2.0, revision 01dba1bf2071.
Read Rlyang's full model card
当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
您可以通过如下git clone命令，或者ModelScope SDK来下载模型
SDK下载
#安装ModelScope
pip install modelscope
#SDK模型下载
from modelscope import snapshot_download
model_dir = snapshot_download('rlyang/lvr-export-lvr_pet_textcot_10k_nonema')
Git下载
#Git模型下载
git clone https://www.modelscope.cn/rlyang/lvr-export-lvr_pet_textcot_10k_nonema.git
如果您是本模型的贡献者，我们邀请您根据模型贡献文档，及时完善模型卡片内容。
Configuration
- Architecture
- BagelForConditionalGeneration
- Context length (tokens)
- 32,768
- Layers
- 28
- Hidden size
- 3,584
- Feed-forward size
- 18,944
- Attention heads
- 28
- Key/value heads
- 4
- Vocabulary size
- 152,064
- Sliding window (tokens)
- 131,072
- RoPE base
- 1e+06
- Stored precision
- bfloat16
- Model type
- bagel
Identity and Version
- Repository
- yrlyrl/lvr-export-lvr_pet_textcot_10k_nonema
- Publisher
- Rlyang
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 14.6B parameters
- Languages
- Not stated by the source
- Revision
- 01dba1bf2071b6f362a487b33a5cae4d4a6cf7e0
- First published
- 2026-09-23
- Last updated
- 2026-09-23
Files and Weights
15 files, 29.5 GB in total. The weights are 2 files totalling 29.5 GB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| ae.safetensors | Weights | 335.3 MB | afc8e28272cd |
| model.safetensors | Weights | 29.2 GB | bb6f5a8e0681 |
| config.json | Configuration | 1.4 KB | — |
| export_info.json | Configuration | 261 B | — |
| generation_config.json | Configuration | 243 B | — |
| llm_config.json | Configuration | 663 B | — |
| preprocessor_config.json | Configuration | 392 B | — |
| vit_config.json | Configuration | 205 B | — |
| README.md | Documentation | 1.4 KB | — |
| MIRROR_COMPLETE | Other | 119 B | — |
| .gitattributes | Repository | 1.5 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 7.0 MB | — |
| tokenizer_config.json | Tokenizer | 7.3 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- apache-2.0
- Access
- Open weights, no gate
- Download size
- 29.5 GB
Released by Rlyang through its official repository on Hugging Face. Read the license.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 29.5 GB |
| 16-bit | 29.2 GB |
| 8-bit | 14.6 GB |
| 4-bit | 7.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About lvr-export-lvr_pet_textcot_10k_nonema
How much GPU memory does lvr-export-lvr_pet_textcot_10k_nonema need?
About 35 GB at 16-bit and 8.7 GB at 4-bit: the weights (14.6B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run lvr-export-lvr_pet_textcot_10k_nonema 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.
Can I use lvr-export-lvr_pet_textcot_10k_nonema commercially?
Yes. lvr-export-lvr_pet_textcot_10k_nonema is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
What is lvr-export-lvr_pet_textcot_10k_nonema's context length?
32,768 tokens, from the maximum position embeddings in its published configuration.