---

base_model: openai/gpt-oss-20b

tags:

• text-generation-inference
• transformers
• unsloth
• arduino
• electronics
• embedded-systems
• cpp
• gguf

license: apache-2.0

language:

• en
• it
• fr
• es
• de

---

🤖 GPT_OSS_20B_ArduinoExpert_v0.3 - GGUF

!Unsloth

!Arduino

!GGUF

> Languages: 🇺🇸 English | 🇮🇹 Italiano | 🇫🇷 Français | 🇪🇸 Español | 🇩🇪 Deutsch

>

> This model was finetuned and converted to GGUF format using Unsloth.

---

<a name="english-description"></a>

🇬🇧 English Description

GPT_OSS_20B_ArduinoExpert_v0.3 is a specialized fine-tune designed to assist makers, students, and engineers with Arduino prototyping, embedded C++ programming, and circuit design.

This version updates the previous v0.2 release with a cleaner Arduino dataset, stronger board-specific behavior, safer wiring advice, and better filtering of unreliable examples.

🌍 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, embedded C++ patterns, memory constraints, and interrupt-related explanations.
• Hardware Wiring: Pinouts for Arduino Uno, Nano, Mega, Leonardo, ESP32, ESP8266, and common sensor connections.
• Protocols: I2C, SPI, OneWire, UART, analog inputs, digital sensors, and common embedded communication patterns.
• Debugging: Identifying compilation errors, upload problems, board/toolchain differences, and common hardware pitfalls.
• Safer Electronics Guidance: Clearer warnings around 3.3V/5V logic, GND sharing, relays, motors, servos, and external power supplies.

⚠️ Limitations & Safety

• Voltage Logic: Always verify pin voltages, current limits, and logic levels before connecting hardware.
• ESP32/ESP8266: Their GPIOs are not 5V tolerant. Use level shifting when needed.
• Power: Motors, servos, LEDs, and relays often require external power. Always share GND when required.
• Safety: Do NOT use as the only source for mains voltage projects (110V/220V).
• Hallucinations: Always check official datasheets and board documentation.

---

<a name="descrizione-italiana"></a>

🇮🇹 Descrizione Italiana

GPT_OSS_20B_ArduinoExpert_v0.3 è un modello specializzato per Arduino, C++ embedded e progettazione circuitale.

Questa versione aggiorna la precedente v0.2 con un dataset Arduino più pulito, maggiore attenzione alla sicurezza elettrica, migliore distinzione tra board diverse e risposte più affidabili su debugging e cablaggi.

🌍 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 e spiega sketch Arduino, codice per ESP32/ESP8266, librerie e pattern embedded.
• Hardware: Spiega cablaggi, pinout, collegamento sensori, bus I2C/SPI/OneWire e moduli comuni.
• Debug: Analizza errori di compilazione, problemi di upload, errori di librerie e malfunzionamenti hardware.
• Board-specific: Distingue Arduino Uno/Nano/Mega/Leonardo, ESP32 ed ESP8266 quando cambiano pin, tensioni o toolchain.
• Sicurezza: Evidenzia rischi su 3.3V/5V, GND comune, motori, relè e alimentazioni esterne.

⚠️ Avvertenze

1. Voltaggi: Controlla sempre i voltaggi e la compatibilità logica prima di collegare componenti.
2. ESP32/ESP8266: I GPIO non sono tolleranti a 5V.
3. Alimentazioni esterne: Motori, servo, relè e LED ad alta corrente richiedono alimentazioni adeguate.
4. Sicurezza: Non usare come unica fonte per progetti ad alta tensione o rete elettrica 220V.
5. Verifica: Controlla sempre datasheet, documentazione ufficiale e schemi prima di alimentare il circuito.

---

📂 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
• Quantization: MXFP4
• Version: v0.3
• Domain: Arduino, embedded systems, electronics, C/C++ debugging

<br>

<details>

<summary><strong>📚 Citation / Citazione (Click to expand)</strong></summary>

@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}
}

</details>