metadata
license: apache-2.0
language:
- nb
- nn
- 'no'
- se
- sv
- da
- en
- is
- fo
base_model: norallm/normistral-11b-warm
library_name: transformers
pipeline_tag: text-generation
tags:
- norwegian
- sami
- bokmaal
- nynorsk
- mlx
- mlx-my-repo
Ilebro/normistral-11b-warm-Q3-mlx
The Model Ilebro/normistral-11b-warm-Q3-mlx was converted to MLX format from norallm/normistral-11b-warm using mlx-lm version 0.20.5.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("Ilebro/normistral-11b-warm-Q3-mlx")
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)