Instructions to use aimeri/spoomplesmaxx-thrasher-24B-mlx-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use aimeri/spoomplesmaxx-thrasher-24B-mlx-6bit 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-thrasher-24B-mlx-6bit") 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-thrasher-24B-mlx-6bit 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-thrasher-24B-mlx-6bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "aimeri/spoomplesmaxx-thrasher-24B-mlx-6bit" # 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-thrasher-24B-mlx-6bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
spoomplesmaxx-thrasher-24B — MLX 6-bit
6-bit MLX quant of spoomplesmaxx-thrasher-24B
("Thrash Metal", mimids 02) for Apple Silicon. ~18 GB — the quality pick for
32GB+ Macs. ChatML template embedded in both tokenizer_config.json and
chat_template.jinja.
pip install mlx-lm
mlx_lm.chat --model aimeri/spoomplesmaxx-thrasher-24B-mlx-6bit
Sampler (swept on the full-precision model): temperature 1.0 · min_p 0.05. A mild repetition_penalty 1.05 eliminated the verbatim-loop tail in our sweep at the cost of a rare unfinished turn — a reasonable opt-in. Tighter on memory? The 4-bit (~13 GB) fits a 24GB Mac comfortably. See the main card for the full story.
For adults. Stays in character by design; bring your own moderation. Apache 2.0.
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6-bit
Model tree for aimeri/spoomplesmaxx-thrasher-24B-mlx-6bit
Base model
mistralai/Mistral-Small-3.1-24B-Base-2503