Modelpublic

Devnexai/nemotron3-powerapps-formulas

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face

0likes

Model Card

base_model: unsloth/NVIDIA-Nemotron-3-Nano-4B tags:

—text-generation-inference
—transformers
—unsloth
—nemotron_h
—trl
—nemotron
—power-apps
—power-platform
—sharepoint
—lora
—qlora
—devnexai
—microsoft
—low-code
—formulas license: apache-2.0 language:
—en
—es datasets:
—Devnexai/NemotronPowerAppsFineTunning pipeline_tag: text-generation ---

Nemotron 3 Nano 4B — Power Apps Formula Expert

A fine-tuned version of NVIDIA Nemotron 3 Nano 4B specialized in Microsoft Power Apps formula generation, error diagnosis, and SharePoint integration patterns.

Model Details

Attribute	Details
Developed by	DevNexAI
Base model	NVIDIA Nemotron 3 Nano 4B (Hybrid Mamba-Transformer MoE)
Fine-tuning method	QLoRA (4-bit) via Unsloth
LoRA rank	16
LoRA alpha	32
Training hardware	NVIDIA A100-SXM4-40GB (Google Colab Pro)
Precision	BF16
License	Apache 2.0
Languages	English, Spanish

What This Model Does

This model is trained to assist Power Apps developers with:

—Formula generation — Describe what you need in natural language, get the correct Power Apps formula
—Error diagnosis — Paste your broken formula, get the root cause and fix
—SharePoint patterns — Delegation-aware queries, Patch operations, Choice/Lookup column handling
—Regional syntax — Understands separator differences between English (,) and Spanish (;) environments
—Best practices — Named Formulas, Concurrent loading, batch Patch, role-based visibility

Training Data

The model was fine-tuned on 202 curated examples across 5 categories:

Category	Examples	%
Error/Debugging	71	35.1%
Formula generation	61	30.2%
Patterns/How-to	56	27.7%
SharePoint specific	10	5.0%
Explanation	4	2.0%

Dataset: Devnexai/Nemotron_PowerApps_FineTunning

Usage

With Unsloth (recommended)

python

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained(
    "Devnexai/nemotron3-powerapps-formulas",
    load_in_4bit=True,
    trust_remote_code=True,
)
FastLanguageModel.for_inference(model)

messages = [
    {"role": "system", "content": "Eres un experto en Power Apps. Genera fórmulas correctas, explica errores y ayuda a resolver problemas de sintaxis."},
    {"role": "user", "content": "Filtra la lista Empleados donde el departamento sea Ventas y el estatus sea Activo"},
]

inputs = tokenizer(
    tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True),
    return_tensors="pt"
).to("cuda")

outputs = model.generate(**inputs, max_new_tokens=512, temperature=0.7, top_p=0.9)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))

With vLLM (API server)

bash

vllm serve unsloth/NVIDIA-Nemotron-3-Nano-4B-BF16 \
    --enable-lora \
    --lora-modules powerapps=Devnexai/nemotron3-powerapps-formulas

Example Prompts

Prompt	Category
`Filtra pedidos con monto mayor a 10000 y estatus Pendiente`	Formula generation
`Error: Filter(Lista, Status = "Activo") me marca error de tipo`	Error diagnosis
`Cómo hago una búsqueda delegable en SharePoint por múltiples campos`	SharePoint pattern
`Mi Patch no guarda datos, no da error pero no se actualiza`	Silent error debugging
`Copié una fórmula de internet y no funciona: If(x > 1, "Sí", "No")`	Regional syntax

Limitations

—Trained on 202 examples — increasing to 500+ will improve quality
—Optimized for SharePoint as datasource; Dataverse patterns are limited
—GGUF export not available yet (Mamba-Transformer hybrid not supported by llama.cpp)
—Requires Linux or WSL2 for local deployment (mamba_ssm dependency)

About DevNexAI

DevNexAI is an AI consulting and products venture focused on the Mexican and LATAM enterprise market, specializing in applied AI for enterprise platforms.

Training Framework

This model was trained 2x faster with Unsloth