Text Generation
MLX
Safetensors
English
French
mistral3
mlx-lm
mistral
apple-silicon
quantized
conversational
8-bit precision
Instructions to use TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit 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("TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit") 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 TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit", "messages": [ {"role": "user", "content": "Hello"} ] }'
Configuration Parsing Warning:Config file tokenizer_config.json cannot be fetched (too big)
Mistral Small 3.2 24B Instruct โ 8-bit MLX
8-bit MLX quantization of
mistralai/Mistral-Small-3.2-24B-Instruct-2506, for Apple Silicon (~23 GB).
Text-only build (vision tower not included) โ run it with mlx-lm, not mlx-vlm. Ships a LlamaTokenizerFast tokenizer (vocab 131072) and chat template.
Usage
pip install -U mlx-lm
mlx_lm.generate \
--model TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit \
--prompt "Explique la quantization en une phrase." \
--max-tokens 200
| Base | Tool | Precision | Size |
|---|---|---|---|
mistralai/Mistral-Small-3.2-24B-Instruct-2506 |
mlx-lm |
8-bit ยท group 64 | ~23 GB |
By TyKaoz โ privacy-first native macOS LLM chat client. Apache 2.0, inherited from the base model.
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Model size
24B params
Tensor type
BF16
ยท
U32 ยท
Hardware compatibility
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8-bit
Model tree for TyKaoz/Mistral-Small-3.2-24B-Instruct-2506-8bit
Base model
mistralai/Mistral-Small-3.1-24B-Base-2503