Instructions to use tfjack/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ6-fp16-mtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use tfjack/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ6-fp16-mtp with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ6-fp16-mtp tfjack/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled-oQ6-fp16-mtp
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 479 Bytes
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import os
from huggingface_hub import snapshot_download
repo_id = "lordx64/Qwen3.6-35B-A3B-Claude-4.7-Opus-Reasoning-Distilled"
local_dir = os.getcwd()
print(f"Resuming download for {repo_id} into {local_dir}...")
try:
snapshot_download(
repo_id=repo_id,
local_dir=local_dir,
local_dir_use_symlinks=False,
resume_download=True
)
print("Download completed successfully.")
except Exception as e:
print(f"An error occurred: {e}")
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