🤖 GPT_OSS_20B_ArduinoExpert_v0.2 - GGUF
Languages: 🇺🇸 English | 🇮🇹 Italiano | 🇫🇷 Français | 🇪🇸 Español | 🇩🇪 Deutsch
This model was finetuned and converted to GGUF format using Unsloth.
🇬🇧 English Description
GPT_OSS_20B_ArduinoExpert_v0.2 is a specialized fine-tune designed to assist makers, students, and engineers with Arduino prototyping, embedded C++ programming, and circuit design.
🌍 Multilingual Capabilities
While fine-tuned primarily on English and Italian technical data, this model inherits the strong multilingual capabilities of the base gpt-oss-20b. It can understand and generate technical explanations in French, Spanish, and German, effectively bridging the gap between technical English documentation and your native language.
🚀 Capabilities
- Arduino/C++ Syntax: Modern libraries, proper memory management, and ISRs.
- Hardware Wiring: Pinouts for Arduino Uno, Nano, ESP32, and common sensor connections.
- Debugging: Identifying compilation errors and common hardware pitfalls.
⚠️ Limitations & Safety
- Voltage Logic: Always verify pin voltages (3.3V vs 5V) with a multimeter.
- Safety: Do NOT use for mains voltage (110V/220V).
- Hallucinations: Always check official datasheets.
🇮🇹 Descrizione Italiana
GPT_OSS_20B_ArduinoExpert_v0.2 è un modello specializzato per Arduino, C++ embedded e progettazione circuitale.
🌍 Supporto Multilingue
Oltre all'Italiano e all'Inglese, il modello mantiene le capacità multilingue native di gpt-oss-20b. Puoi fargli domande in Francese, Spagnolo o Tedesco e ricevere risposte tecniche coerenti e codice commentato correttamente.
🚀 Cosa sa fare
- Codice C++: Scrive sketch ottimizzati per Arduino e ESP32.
- Hardware: Spiega come collegare sensori (I2C, SPI) e gestisce i pinout.
- Debug: Analizza errori di compilazione e suggerisce fix hardware.
⚠️ Avvertenze
- Voltaggi: Controlla sempre i voltaggi col multimetro prima di collegare.
- Sicurezza: Non usare per progetti ad alta tensione (220V).
📂 Available Model Files / File Disponibili
| Filename | Quantization | Description |
|---|---|---|
gpt-oss-20b.MXFP4.gguf | MXFP4 | Balanced performance/size (Recommended) |
🔧 Training Details
- Finetuned with: Unsloth
- Base Model: openai/gpt-oss-20b
- Format: GGUF
@misc{unsloth2023,
title={Unsloth: Faster and Memory Efficient LLM Fine-tuning},
author={Daniel Han and Unsloth Team},
year={2023},
url={[https://github.com/unslothai/unsloth](https://github.com/unslothai/unsloth)}
}