MLX
Safetensors
English
mistral
31b
quantized
8-bit precision
roleplay
creative-writing
Not-For-All-Audiences
Instructions to use darthcrawl/skyfall-31b-v4.2-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use darthcrawl/skyfall-31b-v4.2-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir skyfall-31b-v4.2-mlx-8bit darthcrawl/skyfall-31b-v4.2-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Skyfall-31B-v4.2 · MLX 8-bit
8-bit MLX quantization of TheDrummer/Skyfall-31B-v4.2, produced with mlx_lm.convert. Apple Silicon only.
Use
pip install -U mlx-lm
mlx_lm.generate \
--model darthcrawl/skyfall-31b-v4.2-mlx-8bit \
--prompt "Continue this scene: a private investigator returns to her office at 2 AM and finds the door already unlocked."
Or from Python:
from mlx_lm import load, generate
model, tok = load("darthcrawl/skyfall-31b-v4.2-mlx-8bit")
print(generate(model, tok, "Continue this scene: ...", max_tokens=512))
Variants
| Repo | Bits | Approx Size |
|---|---|---|
| ...mlx-4bit | 4 | ~17 GB |
| ...mlx-6bit | 6 | ~25 GB |
| ...mlx-8bit | 8 | ~33 GB |
License
Apache 2.0, inherited from the base.
- Downloads last month
- 154
Model size
31B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
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8-bit
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Model tree for darthcrawl/skyfall-31b-v4.2-mlx-8bit
Base model
mistralai/Mistral-Small-3.1-24B-Base-2503 Finetuned
mistralai/Magistral-Small-2509 Finetuned
TheDrummer/Skyfall-31B-v4.2