Instructions to use TechxGenus/Seed-Coder-8B-Instruct-DWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TechxGenus/Seed-Coder-8B-Instruct-DWQ with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("TechxGenus/Seed-Coder-8B-Instruct-DWQ") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- MLX LM
How to use TechxGenus/Seed-Coder-8B-Instruct-DWQ with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "TechxGenus/Seed-Coder-8B-Instruct-DWQ"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "TechxGenus/Seed-Coder-8B-Instruct-DWQ" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TechxGenus/Seed-Coder-8B-Instruct-DWQ", "messages": [ {"role": "user", "content": "Hello"} ] }'
| {% set has_system = messages[0]['role'] == 'system' %}{% if not has_system %}{{ bos_token + 'system | |
| You are an AI programming assistant, utilizing the Seed-Coder model, developed by ByteDance Seed, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer. | |
| ' + eos_token }}{% endif %}{% for message in messages %}{{ bos_token + message['role'] + ' | |
| ' + message['content'] | trim + eos_token }}{% endfor %}{% if add_generation_prompt %}{{ bos_token + 'assistant | |
| '}}{% endif %} |