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Source channel @githubtrending · Post #15600 · Apr 4

#python#apple_silicon#florence2#idefics#llava#llm#local_ai#mlx#molmo#paligemma#pixtral#vision_framework#vision_language_model#vision_transformer MLX-VLM lets you run, chat with, and fine-tune Vision Language Models (VLMs) plus audio/video models on your Mac using MLX—install easily with `pip install -U mlx-vlm`. Use CLI for quick text/image/audio generation (e.g., `mlx_vlm.generate --model ... --image photo.jpg`), Gradio UI for chats, Python scripts, or a FastAPI server with OpenAI-compatible endpoints supporting multi-images/videos. Features like TurboQuant cut KV cache memory by 76%, and LoRA/QLoRA fine-tuning works on consumer hardware. You benefit by experimenting with powerful multimodal AI locally—fast, memory-efficient, no cloud costs, perfect for Mac users tweaking models affordably. https://github.com/Blaizzy/mlx-vlm

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djangoproject

@djangoproject · Post #595 · 04/17/2018, 03:51 PM

https://github.com/pypa/virtualenv/issues/1059 Earlier today I installed python3.6 on my debian machine. Python3.6 was made available in buster distribution. When I try to create a virtualenv with python3.6. python3.6 -m venv venv gives the following error. The #virtual_environment was not created successfully because ensurepip is not available. On Debian/Ubuntu systems, you need to install the python3-venv package using the following command. apt-get install python3-venv You may need to use sudo with that command. After installing the python3-venv package, recreate your virtual environment. Failing command: ['/home/float/test/t/bin/python3.6', '-Im', 'ensurepip', '--upgrade', '--default-pip'] I do have python3-venv (3.5.3-1) installed. Why do I get this error? If I run the command py3 -Im ensurepip —upgrade —default-pip it says /usr/bin/python3.6: No module named ensurepip I don't have trouble creating virtualenvs using the default python3 version (3.5.3). Also , I noticed that I can create a virtualenv as follows: #virtualenv -p python3.6 #venv

djangoproject

@djangoproject · Post #535 · 12/28/2017, 10:12 AM

https://docs.pipenv.org/ #Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom). Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world. It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.