metadata
language:
- he
- en
license: apache-2.0
tags:
- mistral
- nemo
- hebrew
- llm
- text-generation
- instruction-tuned
- chat
- mlx
- mlx-my-repo
pipeline_tag: text-generation
base_model: SicariusSicariiStuff/Hebrew_Nemo
library_name: transformers
widget:
- text: Hebrew_Nemo
output:
url: >-
https://huggingface.co/SicariusSicariiStuff/Hebrew_Nemo/resolve/main/Images/Hebrew_Nemo.png
ssdataanalysis/Hebrew_Nemo-mlx-8Bit
The Model ssdataanalysis/Hebrew_Nemo-mlx-8Bit was converted to MLX format from SicariusSicariiStuff/Hebrew_Nemo using mlx-lm version 0.29.1.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("ssdataanalysis/Hebrew_Nemo-mlx-8Bit")
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)