Instructions to use alexgusevski/Impish_Nemo_12B-mlx-5Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use alexgusevski/Impish_Nemo_12B-mlx-5Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download alexgusevski/Impish_Nemo_12B-mlx-5Bit --local-dir Impish_Nemo_12B-mlx-5Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from alexgusevski/Impish_Nemo_12B-mlx-5Bit: direct link, hf CLI and curl.
- Browser
- Download file 1.12 kB
-
https://huggingface.co/alexgusevski/Impish_Nemo_12B-mlx-5Bit/resolve/main/README.md
- Command line
-
hf download hf://alexgusevski/Impish_Nemo_12B-mlx-5Bit/README.md
-
curl -L -o README.md https://huggingface.co/alexgusevski/Impish_Nemo_12B-mlx-5Bit/resolve/main/README.md
1.12 kB
metadata
license: apache-2.0
language:
- en
base_model: SicariusSicariiStuff/Impish_Nemo_12B
datasets:
- SicariusSicariiStuff/UBW_Tapestries
widget:
- text: Impish_Nemo_12B
output:
url: >-
https://huggingface.co/SicariusSicariiStuff/Impish_Nemo_12B/resolve/main/Images/Impish_Nemo_12B.png
tags:
- mlx
alexgusevski/Impish_Nemo_12B-mlx-5Bit
The Model alexgusevski/Impish_Nemo_12B-mlx-5Bit was converted to MLX format from SicariusSicariiStuff/Impish_Nemo_12B using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("alexgusevski/Impish_Nemo_12B-mlx-5Bit")
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)