The dataset viewer is not available for this dataset.
Error code: ConfigNamesError
Exception: ReadTimeout
Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: a28db2a4-a949-4f52-a67a-c16578169a0f)')
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 598, in get_module
standalone_yaml_path = cached_path(
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
).resolve_path(url_or_filename)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
self._api.repo_info(
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
return method(
^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
r = get_session().get(path, headers=headers, timeout=timeout, params=params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
return super().send(request, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: a28db2a4-a949-4f52-a67a-c16578169a0f)')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Qwen3.5 Thinking Console v1.0
An offline multimodal Ai Console for macOS. Powered by Qwen3.5:9b Q4_K_M.
This is a Thumb-Drive App (TDA).
- Toggle Thinking mode on and off.
- Set model parameters in the UI.
- Works completely offline.
- No installation needed. Double-click to run.
- Fully self contained. All dependencies are bundled (7.1 GB) - including Ollama and the Qwen3.5:9b Q4_K_M model.
- Locked to localhost. All user submitted data is encrypted.
- Supports LaTeX and code rendering.
- Create specialized assistants - translation, summarization, tutoring etc.
- Easy to share using a USB Drive or via AirDrop. All dependencies travel with the copy.
What problem does this solve?
- Easily test and compare multimodal model performance in thinking mode and in non-thinking model.
- Adjust model parameters (e.g. Temperature, Top_p and Presence Penalty) directly in the UI.
Best Practices
The Qwen3.5 writeup on HuggingFace suggests the following parameters:
https://huggingface.co/Qwen/Qwen3.5-9B#best-practices
Thinking mode for general tasks:
temperature=1.0,
top_p=0.95,
top_k=20,
min_p=0.0,
presence_penalty=1.5,
repetition_penalty=1.0
Thinking mode for precise coding tasks (e.g., WebDev):
temperature=0.6,
top_p=0.95,
top_k=20,
min_p=0.0,
presence_penalty=0.0,
repetition_penalty=1.0
Instruct (or non-thinking) mode for general tasks:
temperature=0.7,
top_p=0.8,
top_k=20,
min_p=0.0,
presence_penalty=1.5,
repetition_penalty=1.0
Instruct (or non-thinking) mode for reasoning tasks:
temperature=1.0,
top_p=1.0,
top_k=40,
min_p=0.0,
presence_penalty=2.0,
repetition_penalty=1.0
What is a Thumb-Drive App (TDA)?
- A portable folder-based AI app.
- Runs completely offline.
- No installation required.
- All dependencies are bundled - including Ollama and the model.
- Created to be run on a Silicon Mac.
- Easy to share using AirDrop or a thumb-drive.
- All dependencies travel with the copy.
- Can be run on an external SSD.
- Double-click to launch.
- Enables the compliance and traceability required for offline AI to be used in highly regulated environments like medecine and law.
Designed to bring the power of AI to places where there's no internet.
How to Use
System Requirements:
- Operating System: MacOS
- Computer: Apple Silicon Mac (M1, M2, M3, M4)
- RAM: 16GB
- Free disk Space: 7.1 GB
Unzip the Qwen3.5-Thinking-Console-v1.0-TDA.zip folder and place it on your desktop.
Right click on the Qwen3.5-Thinking-Console-v1.0-TDA.zip folder and select: New Terminal at Folder
Paste this command into the terminal and press Enter: (Only needs to be done once, during the setup.)
cat start-mac-app.command > temp && mv temp start-mac-app.command && chmod +x start-mac-app.command
Open the Qwen3.5-Thinking-Console-v1.0-TDA folder.
Double-click: start-mac-app.command
If a macOS security popup appears, click: "Allow"
The chat window will open. This may take a few seconds. Please be patient if you don't see anything happening. During normal use the app will open much faster. Because the model needs to load, it may take a few seconds to get a response to your first message. Subsequent responses will be much faster.
One Command. Complete Control.
You would have noticed that, to make this app executable, this command needed to be typed in the terminal:
cat start-mac-app.command > temp && mv temp start-mac-app.command && chmod +x start-mac-app.command
To remove this requirement the start-mac-app.command file would need to be code signed. Most macOS apps distributed outside the App Store are code signed using an Apple Developer ID certificate. Code signing requires an active Apple Developer Program membership.
This project does not use code signing because it introduces a point of failure. If the Apple membership lapses, or if Apple revokes the certificate for any reason, signed apps will stop launching cleanly for new users. This risk is unacceptable.
In exchange for the minor inconvenience of typing one command into the terminal, you get a reliable app that has no dependency on any third party. You have complete control.
References
HuggingFace
https://huggingface.co/datasets/vbookshelf/Ai-On-A-Stick-TDAThumb-Drive App Concept
https://github.com/vbookshelf/Thumb-Drive-App-ConceptSingle-File Architecture: One file to rule them all
https://github.com/vbookshelf/Single-File-Flask-Web-App
Revision History
Version 1.0
1-April-2026
Prototype. Released for testing.
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