Instructions to use Effectz-AI/Peoples-InvoiceLM-14B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Effectz-AI/Peoples-InvoiceLM-14B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Effectz-AI/Peoples-InvoiceLM-14B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Effectz-AI/Peoples-InvoiceLM-14B")
model = AutoModelForCausalLM.from_pretrained("Effectz-AI/Peoples-InvoiceLM-14B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Effectz-AI/Peoples-InvoiceLM-14B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Effectz-AI/Peoples-InvoiceLM-14B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Effectz-AI/Peoples-InvoiceLM-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Effectz-AI/Peoples-InvoiceLM-14B

SGLang

How to use Effectz-AI/Peoples-InvoiceLM-14B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Effectz-AI/Peoples-InvoiceLM-14B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Effectz-AI/Peoples-InvoiceLM-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Effectz-AI/Peoples-InvoiceLM-14B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Effectz-AI/Peoples-InvoiceLM-14B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Effectz-AI/Peoples-InvoiceLM-14B with Docker Model Runner:
```
docker model run hf.co/Effectz-AI/Peoples-InvoiceLM-14B
```

Peoples-InvoiceLM-14B / README.md

AyeshaEffectz

Update README.md

c3524c1 verified 14 days ago

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	---
	language: en
	pipeline_tag: text-generation
	library_name: transformers
	tags:
	- invoices
	- document-ai
	- information-extraction
	- small-language-model
	- peoples-lm
	license: other
	license_name: effectz-ai-proprietary
	base_model:
	- Qwen/Qwen3-14B-Base
	---

	# People's InvoiceLM-14B

	> A specialised member of the People's LM family by [Effectz.AI](http://Effectz.ai).

	<p align="center">
	<img src="./invoice_model.png" width="850">
	</p>

	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.

	## About People's LM

	People's LM is [Effectz.AI](http://Effectz.ai)'s family of compact, specialised language models built for real-world business workflows in emerging markets — built for the document formats, suppliers, and operating environments that global AI tools often overlook. This model has been fine-tuned using Effectz.AI's proprietary synthetic invoice dataset.

	## Model Details

	\| \| \|
	\|---\|---\|
	\| Base model \| Qwen3-14B-Base \|
	\| Fine-tuning and domain adaptation \| Effectz.AI \|
	\| Model family \| People's LM \|
	\| Primary use case \| Invoice data extraction and validation \|
	\| Availability \| Proprietary / controlled access through Effectz.AI \|

	## Intended Use

	People's InvoiceLM-14B is intended to extract structured fields from supplier invoices, including:

	- Invoice number, Date, Currency, Exchange rate, Subtotal
	- Purchase Order (PO) numbers
	- Goods Receive Note (GRN) numbers
	- Supplier and buyer/company names

	### Out-of-scope use

	This model is not intended for general-purpose text generation, open-domain question answering, or use outside invoice/finance document workflows. Extracted output should be reviewed before being used in automated downstream systems.

	## How to Use

	People's InvoiceLM-14B is served via a controlled Hugging Face Inference Endpoint as part of the Effectz.AI E-Flow platform. Access is not self-serve — contact Effectz.AI for access details.

	```python
	from huggingface_hub import InferenceClient

	client = InferenceClient(model="<inference-endpoint-url>", token="<HF_TOKEN>")

	response = client.text_generation(
	prompt,
	max_new_tokens=600,
	temperature=0.0,
	do_sample=False,
	)
	```
	## Acknowledgements
	Special thanks to the Qwen team for the strong Qwen3-14B base model, Unsloth for efficient fine tuning tooling.

	## License

	People's InvoiceLM-14B is proprietary software and model weights owned by Effectz.AI Private Limited. Use, copying, redistribution, fine-tuning, derivative-model creation, commercial deployment, and reverse engineering are prohibited unless explicitly authorised in writing by Effectz.AI.

	For licensing inquiries, contact [Effectz.AI](http://Effectz.ai).