Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities, and multilingual support, with the following key features: - Uniquely support of seamless switching between thinking mode (for complex logical reasoning, math, and coding) and non-thinking mode (for efficient, general-purpose dialogue) within single model, ensuring optimal performance across various scenarios. - Significantly enhancement in its reasoning capabilities, surpassing previous QwQ (in thinking mode) and…
Open-weight model · Text generation
Peoples-InvoiceLM-14B
by Effectz.AI Effectz-AI/Peoples-InvoiceLM-14B
Peoples-InvoiceLM-14B is a model for text generation from Effectz.AI, released under other (access requested at publisher). It has 14.8B parameters. At 16-bit it needs about 35.4 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 3 downloads a month.
People's InvoiceLM-14B is a domain-specific fine-tuned model built on Qwen3-14B base model, optimised for template-free invoice understanding, structured data extraction, and real-world finance document workflows.
Parameters14.8B
Context—
Weights29.5 GB
Licenseother
AccessAccess requested at publisher
Monthly Downloads3
Runs On
What it takes to serve Peoples-InvoiceLM-14B (14.8B 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 | 29.5 GB | 35.4 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 14.8 GB | 17.7 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 7.4 GB | 8.9 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.
Peoples-InvoiceLM-14B on every accelerator the SAVRN Index prices, at every precision
Model Card
People's InvoiceLM-14B is a domain-specific fine-tuned model built on Qwen3-14B base model, optimised for template-free invoice understanding, structured data extraction, and real-world finance document workflows. It is designed for the messy reality of enterprise invoices: changing supplier formats, inconsistent field layouts, scanned documents, and operational data that must be reviewed before it reaches downstream systems. People's InvoiceLM powers invoice intelligence capabilities within E-Flow, Effectz.AI's document execution platform. People's LM is Effectz.AI's family of compact, specialised language models built for real-world business workflows in emerging markets — built for the…
Excerpt from the card by Effectz.AI, licensed other.
Identity and Version
- Repository
- Effectz-AI/Peoples-InvoiceLM-14B
- Publisher
- Effectz.AI
- Task
- Text generation
- Modality
- Text
- Library
- transformers
- Parameters
- 14.8B parameters
- Languages
- en
- Revision
- 797f058b4f1f5b55a0392120798eddcdc07d0b3c
- First published
- 2026-06-03
- Last updated
- 2026-09-28
Files and Weights
18 files, 29.6 GB in total. The weights are 6 files totalling 29.5 GB in safetensors.
Weights6 files · 29.5 GB
Configuration6 files · 56.5 KB
Tokenizer2 files · 11.4 MB
Documentation1 file · 3.2 KB
Other2 files · 2.4 MB
Repository1 file · 1.6 KB
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model-00001-of-00006.safetensors | Weights | 5.0 GB | — |
| model-00002-of-00006.safetensors | Weights | 4.9 GB | — |
| model-00003-of-00006.safetensors | Weights | 5.0 GB | — |
| model-00004-of-00006.safetensors | Weights | 4.9 GB | — |
| model-00005-of-00006.safetensors | Weights | 5.0 GB | — |
| model-00006-of-00006.safetensors | Weights | 4.7 GB | — |
| config.json | Configuration | 1.9 KB | — |
| generation_config.json | Configuration | 138 B | — |
| handler.py | Configuration | 768 B | — |
| model.safetensors.index.json | Configuration | 36.6 KB | — |
| pipeline.py | Configuration | 9.4 KB | — |
| post_processing.py | Configuration | 7.7 KB | — |
| README.md | Documentation | 3.2 KB | — |
| chat_template.jinja | Other | 4.1 KB | — |
| invoice_model.png | Other | 2.4 MB | — |
| .gitattributes | Repository | 1.6 KB | — |
| tokenizer.json | Tokenizer | 11.4 MB | — |
| tokenizer_config.json | Tokenizer | 668 B | — |
License and Download
- License
- other
- Access
- Access requested at publisher
- Download size
- 29.5 GB
Request access from Effectz.AI
Effectz.AI grants access through its official repository on Hugging Face.
Built From
- Derived from Qwen/Qwen3-14B-Base
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 29.5 GB |
| 16-bit | 29.5 GB |
| 8-bit | 14.8 GB |
| 4-bit | 7.4 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About Peoples-InvoiceLM-14B
How much GPU memory does Peoples-InvoiceLM-14B need?
About 35.4 GB at 16-bit and 8.9 GB at 4-bit: the weights (14.8B parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run Peoples-InvoiceLM-14B 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 license is Peoples-InvoiceLM-14B released under?
other, as its publisher declares it. Read the license text before commercial use.
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