Instructions to use m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # if on a CUDA device, also pip install mlx[cuda] # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit") prompt = "Once upon a time in" text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Generate some text mlx_lm.generate --model "m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit" --prompt "Once upon a time"
m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit
This model m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit was converted to MLX format from Qwen/Qwen3-235B-A22B-Instruct-2507 using mlx-lm version 0.26.0.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit")
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)
- Downloads last month
- 19
Model size
235B params
Tensor type
BF16
·
U32 ·
Hardware compatibility
Log In to add your hardware
Quantized
Model tree for m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit
Base model
Qwen/Qwen3-235B-A22B-Instruct-2507
# Install MLX LM uv tool install mlx-lm# Generate some text mlx_lm.generate --model "m-i/Qwen3-235B-A22B-Instruct-2507-mixed-3-5bit" --prompt "Once upon a time"