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
spoomplesmaxx-mockingbird-36B — MLX 3-bit
3-bit MLX quant of spoomplesmaxx-mockingbird-36B for Apple silicon. ~18 GB on disk — runs on a 24 GB Mac with room to breathe, comfortable on 32 GB.
pip install mlx-lm
mlx_lm.chat --model aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit \
--temp 1.0 --top-p 0.9
The seed-native chat template ships in the tokenizer config; mlx_lm.chat
and LM Studio use it automatically.
Sampling — read this part
temperature 1.0 · top_p 0.9 · no penalties
âš Never use repetition, presence, or frequency penalties. The template ends every message with
<seed:eos>; context-wide penalties suppress that token, the model stops ending its turns, and generation degenerates into the base model's untrained Chinese vocabulary.
Usable temperature window is ~0.95–1.05: lower loops verbatim, higher frays. Full details on the main model card.
mimids 01 · Apache 2.0
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3-bit
Model tree for aimeri/spoomplesmaxx-mockingbird-36B-mlx-3bit
Base model
ByteDance-Seed/Seed-OSS-36B-Base-woSyn