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Browse files- README.md +63 -12
- app.py +42 -0
- requirements.txt +2 -0
README.md
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# amkyawdev/amkyaw-dev-v1
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## Model Overview
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- **Model Name**: amkyaw-coder-1.5b-instruct
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- **Type**: Code Generation / Instruction Following
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- **Size**: 1.5B parameters
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- **Format**: GGUF (quantized)
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## Quick Start
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```bash
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# Run the model
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ollama run amkyawdev/amkyaw-dev-v1
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# Or run with specific tag
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ollama run amkyawdev/amkyaw-dev-v1:latest
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```
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## Features
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- Code generation
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- Instruction following
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- Burmese language support
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- English language support
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## System Requirements
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- Ollama installed
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- At least 2GB RAM available
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- No GPU required (runs on CPU)
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## Configuration
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| Parameter | Value |
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|-----------|-------|
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| Temperature | 0.8 |
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| Top P | 0.9 |
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| Top K | 40 |
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| Context Length | 4096 |
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## Usage Examples
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```python
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import ollama
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response = ollama.generate(
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model='amkyawdev/amkyaw-dev-v1',
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prompt='Write a Python function to calculate factorial'
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)
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print(response['response'])
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```
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## License
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See [Hugging Face](https://huggingface.co/amkyawdev/amkyaw-dev-v1) for license information.
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## Troubleshooting
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If you encounter issues:
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1. Make sure Ollama is running: `ollama serve`
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2. Check model is installed: `ollama list`
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3. Try restarting Ollama: `pkill ollama && ollama serve`
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app.py
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import gradio as gr
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import ollama
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import os
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def generate(prompt, temperature=0.8, max_tokens=512):
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try:
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response = ollama.generate(
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model='amkyawdev/amkyaw-dev-v1',
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prompt=prompt,
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options={
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'temperature': temperature,
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'num_predict': max_tokens
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}
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)
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return response['response']
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except Exception as e:
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return f"Error: {str(e)}"
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# Check if Ollama is accessible
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try:
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ollama.list()
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status = "✅ Ollama is running"
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except:
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status = "❌ Ollama is not running"
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with gr.Blocks(title="amkyaw-coder") as demo:
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gr.Markdown(f"# amkyaw-coder-1.5b-instruct\n{status}")
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(label="Prompt", lines=4, placeholder="Enter your prompt here...")
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temperature = gr.Slider(0.1, 2.0, value=0.8, step=0.1, label="Temperature")
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max_tokens = gr.Slider(64, 2048, value=512, step=64, label="Max Tokens")
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submit = gr.Button("Generate", variant="primary")
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with gr.Column():
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output = gr.Textbox(label="Output", lines=15)
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submit.click(generate, inputs=[prompt, temperature, max_tokens], outputs=output)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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requirements.txt
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gradio>=4.0.0
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ollama>=0.1.0
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