inclusionAI LING 2.6
Collection
By inclusionAI • 6 items • Updated • 1
This model mlx-community/Ling-2.6-flash-mlx-8bit was converted to MLX format from inclusionAI/Ling-2.6-flash using mlx-lm version 0.31.3.
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("mlx-community/Ling-2.6-flash-mlx-8bit")
prompt = "hello"
if tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, add_generation_prompt=True, return_dict=False,
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
8-bit
Base model
inclusionAI/Ling-2.6-flash
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("mlx-community/Ling-2.6-flash-mlx-8bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True)