Instructions to use CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Ministral-3-14B-Reasoning-2512-mlx-6Bit CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit
The Model CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit was converted to MLX format from mistralai/Ministral-3-14B-Reasoning-2512 using mlx-lm version 0.31.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
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Model size
14B params
Tensor type
U32
·
BF16 ·
Hardware compatibility
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6-bit
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Model tree for CAPsMANyo/Ministral-3-14B-Reasoning-2512-mlx-6Bit
Base model
mistralai/Ministral-3-14B-Base-2512 Finetuned
mistralai/Ministral-3-14B-Reasoning-2512