Instructions to use aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit 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("aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit") 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 Settings
- LM Studio
- MLX LM
How to use aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<seed:bos>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<seed:eos>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<seed:pad>", | |
| "tokenizer_class": "TokenizersBackend", | |
| "chat_template": "{#- mockingbird chat template: Seed-native convention, NO THINKING.\n Structurally the Instruct template minus <seed:think>/budget machinery.\n Used both for training (Axolotl chat_template_jinja) and shipping\n (embedded in tokenizer_config.json so MLX/GGUF conversion carries it). -#}\n{%- for message in messages -%}\n{{- '<seed:bos>' + message['role'] + '\\n' -}}\n{{- message['content'] | trim -}}\n{{- '<seed:eos>' -}}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n{{- '<seed:bos>assistant\\n' -}}\n{%- endif -%}\n" | |
| } |