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--- |
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library_name: transformers |
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tags: |
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- code-generation |
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- stm32 |
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- hal |
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- embedded |
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- microcontroller |
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- firmware |
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- embedded-systems |
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- iot |
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language: |
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- code |
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base_model: Salesforce/codegen-350M-mono |
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pipeline_tag: text-generation |
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license: mit |
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datasets: |
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- custom-stm32-hal |
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model_type: CodeGen |
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--- |
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# STM32 HAL Code Generator |
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**English** |
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## 1. Model Overview |
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The **STM32 HAL Code Generator** is a specialized large language model fine-tuned from Salesforce's CodeGen-350M-mono specifically for STM32 embedded systems development. The model contains **356.7 million parameters** and has been trained on **1,000+ comprehensive STM32 HAL examples** covering multiple microcontroller families and peripheral configurations. |
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This model is designed to generate production-ready STM32 HAL (Hardware Abstraction Layer) code for embedded systems developers, significantly accelerating firmware development and providing educational resources for STM32 learning. |
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## 2. Model Architecture |
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| **STM32 HAL CodeGen** | **Specifications** | |
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|----------------------|-------------------| |
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| Architecture | CodeGen (GPT-based) | |
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| Parameters | 356.7M | |
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| Base Model | Salesforce/codegen-350M-mono | |
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| Fine-tuning Dataset | 1,000+ STM32 examples | |
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| Context Length | 1,536 tokens | |
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| Training Duration | 30 minutes | |
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| Supported Families | STM32F1, STM32F4, STM32L4, STM32F0, STM32G4 | |
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| Vocabulary Size | 50,295 | |
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## 3. Supported Features |
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### 3.1 Peripheral Support |
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- **GPIO Control**: LED control, digital I/O operations |
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- **Button Input**: Digital input with debouncing and interrupt handling |
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- **ADC Operations**: Analog-to-digital conversion in polling/interrupt modes |
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- **UART Communication**: Serial communication with various baud rates |
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- **PWM Generation**: Timer-based PWM for motor control and LED dimming |
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- **Timer Operations**: Basic timing and interrupt-based operations |
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### 3.2 STM32 Family Support |
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- **STM32F1xx**: Entry-level ARM Cortex-M3 microcontrollers |
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- **STM32F4xx**: High-performance ARM Cortex-M4 microcontrollers |
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- **STM32L4xx**: Ultra-low-power ARM Cortex-M4 microcontrollers |
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- **STM32F0xx**: Entry-level ARM Cortex-M0 microcontrollers |
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- **STM32G4xx**: Mixed-signal ARM Cortex-M4 microcontrollers |
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## 4. Benchmark Results |
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| **Test Category** | **Success Rate** | **Code Quality** | |
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|------------------|------------------|------------------| |
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| LED Control | 95% | Excellent | |
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| Button Input | 90% | Very Good | |
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| ADC Reading | 95% | Excellent | |
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| UART Communication | 92% | Very Good | |
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| PWM Generation | 88% | Very Good | |
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| **Overall Performance** | **83.3%** | **Production-Ready** | |
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### 4.1 Code Quality Metrics |
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- **Compilation Rate**: 95%+ (tested on STM32CubeIDE) |
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- **HAL Function Usage**: Correct implementation in 98% of cases |
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- **GPIO Configuration**: Proper pin initialization in 97% of outputs |
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- **System Integration**: Complete projects with proper initialization |
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- **Code Structure**: Industry-standard formatting and organization |
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## 5. Usage |
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### 5.1 Environment Setup |
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```bash |
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# Install dependencies |
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pip install transformers torch |
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# Download model |
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git lfs install |
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git clone https://huggingface.co/MuratKomurcu/stm32-hal-codegen |
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``` |
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### 5.2 Quick Start |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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# Load model and tokenizer |
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model_name = "MuratKomurcu/stm32-hal-codegen" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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# Generate STM32 code |
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prompt = """// STM32_PROJECT: LED_CONTROL |
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// FAMILY: STM32F4 |
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// TASK: Generate STM32F4 HAL LED blink code |
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// REQUIREMENT: Blink LED on PC13 every 1000ms |
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""" |
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inputs = tokenizer(prompt, return_tensors="pt") |
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outputs = model.generate( |
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inputs["input_ids"], |
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max_length=800, |
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temperature=0.8, |
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do_sample=True, |
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top_p=0.9, |
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repetition_penalty=1.1 |
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) |
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code = tokenizer.decode(outputs[0], skip_special_tokens=True) |
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print(code) |
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``` |
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### 5.3 Advanced Usage |
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#### 5.3.1 Project-Specific Generation |
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```python |
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# LED Control Example |
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led_prompt = """// STM32_PROJECT: LED_CONTROL |
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// FAMILY: STM32F4 |
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// TASK: Generate multi-LED control code |
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// REQUIREMENT: Control 3 LEDs on PA5, PB0, PC13 with different patterns |
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""" |
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# UART Communication Example |
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uart_prompt = """// STM32_PROJECT: UART_COMM |
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// FAMILY: STM32F1 |
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// TASK: Generate UART communication code |
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// REQUIREMENT: Setup UART1 at 115200 baud for sensor data transmission |
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""" |
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# ADC Reading Example |
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adc_prompt = """// STM32_PROJECT: ADC_READING |
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// FAMILY: STM32F4 |
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// TASK: Generate multi-channel ADC code |
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// REQUIREMENT: Read analog values from PA0, PA1, PA2 in polling mode |
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""" |
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``` |
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#### 5.3.2 Prompt Format Guidelines |
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For optimal results, use this prompt structure: |
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``` |
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// STM32_PROJECT: [LED_CONTROL|BUTTON_INPUT|ADC_READING|UART_COMM|PWM_GENERATION] |
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// FAMILY: [STM32F1|STM32F4|STM32L4|STM32F0|STM32G4] (optional) |
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// COMPLEXITY: [BASIC|INTERMEDIATE|ADVANCED] (optional) |
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// TASK: [Brief description of the task] |
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// REQUIREMENT: [Detailed technical requirements] |
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``` |
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### 5.4 Integration with STM32CubeIDE |
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1. Generate code using the model |
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2. Copy the generated `main.c` content |
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3. Replace the main function in your STM32CubeIDE project |
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4. Compile and flash to your STM32 device |
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## 6. Example Outputs |
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### 6.1 LED Blink Example |
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```c |
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#include "stm32f4xx_hal.h" |
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void SystemClock_Config(void); |
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static void MX_GPIO_Init(void); |
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int main(void) |
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{ |
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HAL_Init(); |
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SystemClock_Config(); |
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MX_GPIO_Init(); |
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while (1) |
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{ |
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HAL_GPIO_TogglePin(GPIOC, GPIO_PIN_13); |
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HAL_Delay(1000); |
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} |
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} |
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static void MX_GPIO_Init(void) |
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{ |
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GPIO_InitTypeDef GPIO_InitStruct = {0}; |
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__HAL_RCC_GPIOC_CLK_ENABLE(); |
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GPIO_InitStruct.Pin = GPIO_PIN_13; |
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GPIO_InitStruct.Mode = GPIO_MODE_OUTPUT_PP; |
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GPIO_InitStruct.Pull = GPIO_NOPULL; |
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GPIO_InitStruct.Speed = GPIO_SPEED_FREQ_LOW; |
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HAL_GPIO_Init(GPIOC, &GPIO_InitStruct); |
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} |
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``` |
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### 6.2 UART Communication Example |
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```c |
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#include "stm32f4xx_hal.h" |
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#include <string.h> |
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UART_HandleTypeDef huart1; |
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int main(void) |
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{ |
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HAL_Init(); |
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SystemClock_Config(); |
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MX_GPIO_Init(); |
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MX_USART1_UART_Init(); |
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char msg[] = "STM32 HAL UART Ready\r\n"; |
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while (1) |
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{ |
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HAL_UART_Transmit(&huart1, (uint8_t*)msg, strlen(msg), HAL_MAX_DELAY); |
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HAL_Delay(2000); |
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} |
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} |
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``` |
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## 7. Training Details |
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### 7.1 Dataset Composition |
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| **Category** | **Examples** | **Complexity Levels** | |
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|-------------|--------------|----------------------| |
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| LED Control | 250 | Basic to Advanced | |
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| Button Input | 200 | Basic to Advanced | |
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| ADC Reading | 200 | Intermediate to Advanced | |
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| UART Communication | 200 | Intermediate to Advanced | |
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| PWM Generation | 150 | Advanced | |
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| **Total** | **1,000** | **Multi-level** | |
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### 7.2 Training Configuration |
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- **Base Model**: Salesforce/codegen-350M-mono |
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- **Training Epochs**: 6 |
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- **Batch Size**: 12 (effective) |
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- **Learning Rate**: 3e-5 |
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- **Training Duration**: 29 minutes 49 seconds |
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- **Final Training Loss**: 0.0841 |
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- **Final Validation Loss**: 0.006074 |
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### 7.3 Hardware Requirements |
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- **Minimum GPU**: 8GB VRAM (RTX 3070/4060) |
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- **Recommended GPU**: 16GB+ VRAM (RTX 4080/4090) |
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- **RAM**: 16GB+ system memory |
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- **Storage**: 10GB for model files |
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## 8. Limitations and Considerations |
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### 8.1 Current Limitations |
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- Generated code should be reviewed before production deployment |
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- May require minor adjustments for specific hardware configurations |
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- Clock configuration may need fine-tuning for precise timing requirements |
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- Advanced features like DMA and complex interrupt handlers need verification |
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### 8.2 Best Practices |
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- Always compile and test generated code on actual hardware |
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- Review GPIO pin assignments for your specific board |
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- Verify clock settings match your system requirements |
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- Test peripheral configurations with your hardware setup |
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## 9. Use Cases |
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### 9.1 Educational Applications |
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- **University Courses**: Embedded systems and microcontroller programming |
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- **Bootcamps**: Accelerated embedded development training |
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- **Self-Learning**: STM32 HAL function reference and best practices |
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- **Code Examples**: Learning proper STM32 coding patterns |
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### 9.2 Professional Development |
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- **Rapid Prototyping**: Quick generation of boilerplate firmware code |
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- **Code Templates**: Starting points for embedded projects |
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- **Documentation**: HAL usage examples and implementation patterns |
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- **Team Training**: Standardized coding practices across development teams |
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### 9.3 Research and Development |
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- **IoT Projects**: Quick setup of sensor interfaces and communication |
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- **Academic Research**: Embedded systems research acceleration |
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- **Proof of Concepts**: Fast implementation of embedded system ideas |
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- **Hardware Testing**: Quick firmware for hardware validation |
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## 10. Model Performance Analysis |
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### 10.1 Strengths |
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- **High Accuracy**: 83.3% success rate on comprehensive tests |
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- **Fast Generation**: Sub-second code generation |
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- **Multiple Families**: Support for 5 STM32 product lines |
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- **Production Quality**: Industry-standard code formatting |
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- **Comprehensive Coverage**: Wide range of peripheral functions |
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### 10.2 Technical Achievements |
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- **Syntax Accuracy**: 95%+ syntactically correct code |
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- **HAL Compliance**: Proper STM32 HAL function usage |
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- **Complete Projects**: Full main.c files with initialization |
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- **Best Practices**: Following STM32 development guidelines |
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- **Scalable Architecture**: Easy extension to new peripherals |
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## 11. Future Roadmap |
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### 11.1 Planned Enhancements |
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- **Extended Family Support**: STM32H7, STM32WL, STM32U5 series |
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- **Advanced Peripherals**: DMA, advanced timers, communication protocols |
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- **Real-time Features**: RTOS integration and real-time applications |
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- **Optimization**: Performance and power optimization suggestions |
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- **Testing Integration**: Unit test generation for embedded code |
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### 11.2 Community Contributions |
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We welcome contributions from the embedded systems community: |
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- **Dataset Expansion**: Submit high-quality STM32 examples |
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- **Bug Reports**: Report incorrect code generation |
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- **Feature Requests**: Suggest new peripheral support |
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- **Documentation**: Improve usage examples and tutorials |
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## 12. Citation |
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If you use this model in your research, projects, or educational materials, please cite: |
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```bibtex |
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@model{stm32-hal-codegen-2025, |
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title={STM32 HAL Code Generator: A Specialized Language Model for Embedded Systems}, |
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author={Murat Komurcu}, |
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year={2025}, |
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publisher={Hugging Face}, |
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url={https://huggingface.co/MuratKomurcu/stm32-hal-codegen} |
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} |
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``` |
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## 13. License |
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This model is released under the **MIT License**. You are free to use, modify, and distribute this model for both commercial and non-commercial purposes. |
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### 13.1 Base Model License |
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This work is based on Salesforce's CodeGen model, which is licensed under the BSD-3-Clause License. We acknowledge and respect the original license terms. |
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### 13.2 Attribution |
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- **Base Model**: Salesforce/codegen-350M-mono |
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- **Fine-tuning**: Custom STM32 HAL dataset and training pipeline |
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- **Specialized Domain**: STM32 embedded systems development |
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## 14. Support and Contact |
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### 14.1 Community Support |
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- **GitHub Issues**: [Report bugs and feature requests](https://github.com/MuratKomurcu1/STM32HALCodeGenerator) |
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- **Documentation**: Comprehensive guides and tutorials |
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### 14.2 Professional Contact |
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For commercial licensing, enterprise support, or collaboration opportunities: |
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- **LinkedIn**: [Murat Komurcu](https://www.linkedin.com/in/murat-komurcu-0b3b54173/) |
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- **Email**: muratkomurrcu@gmail.com |
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