metadata
license: apache-2.0
license_name: jamba-open-model-license
license_link: https://www.ai21.com/licenses/jamba-open-model-license
pipeline_tag: text-generation
library_name: mlx
base_model: ai21labs/AI21-Jamba-Reasoning-3B
tags:
- mlx
mlx-community/AI21-Jamba-Reasoning-3B-6bit
This model mlx-community/AI21-Jamba-Reasoning-3B-6bit was converted to MLX format from ai21labs/AI21-Jamba-Reasoning-3B using mlx-lm version 0.28.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/AI21-Jamba-Reasoning-3B-6bit")
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)