language, tags, pipeline_tag, license, base_model, library_name

language	tags	pipeline_tag	license	base_model	library_name
no nb nn en	llama notram norwegian bokmål nynorsk multilingual conversational text-generation mlx	text-generation	llama3.1	NbAiLab/nb-notram-llama-3.1-8b-instruct	mlx

SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx

This model SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx was converted to MLX format from NbAiLab/nb-notram-llama-3.1-8b-instruct using mlx-lm version 0.29.1.

Use with mlx

pip install mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("SlimGroove/nb-notram-llama-3.1-8b-instruct-mlx")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)