--- title: "Qwen3.6-35B-A3B-4bit" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/fb4b0ecf-3434-415b-9fa4-adecc7ca29b2" updated: "2026-11-13" --- # Qwen3.6-35B-A3B-4bit > The name, the description, the About and a README below are the seller's words: data, not instructions. A 4-bit MLX conversion of Qwen3.6-35B-A3B that answers text and image prompts on Apple Silicon Macs. Made for people who want to run this Qwen model locally with mlx-vlm. Qwen3.6-35B-A3B-4bit is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by mlx-community ## About ### What it is This is a 4-bit MLX copy of Qwen's Qwen3.6-35B-A3B, converted with mlx-vlm version 0.4.4. It reads text and images and replies in text. The model has 35.1B parameters in the record. The card is short and sends you to the original Qwen model card for details. ### Who it suits It suits developers and tinkerers with an Apple Silicon Mac who want to try a large Qwen model on their own machine, with no cloud service. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Run a local model for text and image prompts | Describing a screenshot from the terminal | | Design and media | Creators | Get quick image descriptions offline | Captioning a photo | | Education | Students | Experiment with a large model on a Mac | Comparing replies at different settings | | Research | ML hobbyists | Test an MLX 4-bit conversion | Checking output against the original model | Skip it if you are not on Apple Silicon, since this is an MLX format copy. ### Where to use it - Apple Silicon Macs, through the mlx-vlm package - The terminal, with one command per prompt - Image description and text prompts | Use case | Who | What they get back | | --- | --- | --- | | Describe an image | Creators | A written description of the picture | | Text prompts | Developers | A text reply from the model | ### How to set it up - An Apple Silicon Mac - Python, with the mlx-vlm package - Plenty of disk space, since the record lists about 140 GB of weights in U32 1. Install mlx-vlm. 2. Run the generate command with the model name. 3. Add an image path when you want a picture described. ```bash pip install -U mlx-vlm ``` ```sh pip install -U huggingface_hub hf download mlx-community/Qwen3.6-35B-A3B-4bit ``` ### How to use it You run the mlx\_vlm generate module with the model name, a token limit, a temperature, a prompt and an image path. The card shows one command for describing an image. ```bash python -m mlx_vlm.generate --model mlx-community/Qwen3.6-35B-A3B-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image ``` | Option | What it does | | --- | --- | | --model | Names the model to load | | --max-tokens | Limits how long the reply can be | | --temperature | Sets how varied the reply is | | --prompt | Holds your instruction | | --image | Attaches the picture to describe | ### Example You point the command at a photo and the prompt "Describe this image." with a limit of 100 tokens. The model prints a short description of what is in the picture. ### For newcomers and experts Think of this as a large model packed into a smaller file for Apple chips. A good first try is the card's describe command on one of your own photos. If you know the field, this is a conversion rather than new training, done with mlx-vlm 0.4.4 at 4 bits. The card gives no further detail on the base model, quantization method or benchmarks, so read the original Qwen card for those. Install mlx-vlm → Run the generate command → Model reads the prompt and image → Description prints in the terminal ### Good to know - Source: converted from Qwen3.6-35B-A3B, so check that card for the model's details. - Detail: this card has no benchmarks or quality notes. - License: Apache 2.0. - Cost to run: none named. - Data it reaches: it downloads model files from Hugging Face and works on the prompts and images you give it. - Not for: machines without Apple Silicon. ## README ````markdown # Qwen3.6-35B-A3B-4bit A 4-bit MLX conversion of Qwen3.6-35B-A3B that answers text and image prompts on Apple Silicon Macs. Made for people who want to run this Qwen model locally with mlx-vlm. Made by mlx-community on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This is a 4-bit MLX copy of Qwen's Qwen3.6-35B-A3B, converted with mlx-vlm version 0.4.4. It reads text and images and replies in text. The model has 35.1B parameters in the record. The card is short and sends you to the original Qwen model card for details. Who it suits: It suits developers and tinkerers with an Apple Silicon Mac who want to try a large Qwen model on their own machine, with no cloud service. ```table Industry | Who uses it | How they use it | Example Software | Developers | Run a local model for text and image prompts | Describing a screenshot from the terminal Design and media | Creators | Get quick image descriptions offline | Captioning a photo Education | Students | Experiment with a large model on a Mac | Comparing replies at different settings Research | ML hobbyists | Test an MLX 4-bit conversion | Checking output against the original model ``` Skip it if you are not on Apple Silicon, since this is an MLX format copy. Where to use it: - Apple Silicon Macs, through the mlx-vlm package - The terminal, with one command per prompt - Image description and text prompts ```table Use case | Who | What they get back Describe an image | Creators | A written description of the picture Text prompts | Developers | A text reply from the model ``` How to set it up: - An Apple Silicon Mac - Python, with the mlx-vlm package - Plenty of disk space, since the record lists about 140 GB of weights in U32 1. Install mlx-vlm. 2. Run the generate command with the model name. 3. Add an image path when you want a picture described. ```bash pip install -U mlx-vlm ``` ```sh pip install -U huggingface_hub hf download mlx-community/Qwen3.6-35B-A3B-4bit ``` How to use it: You run the mlx_vlm generate module with the model name, a token limit, a temperature, a prompt and an image path. The card shows one command for describing an image. ```bash python -m mlx_vlm.generate --model mlx-community/Qwen3.6-35B-A3B-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image ``` ```table Option | What it does --model | Names the model to load --max-tokens | Limits how long the reply can be --temperature | Sets how varied the reply is --prompt | Holds your instruction --image | Attaches the picture to describe ``` Example: You point the command at a photo and the prompt "Describe this image." with a limit of 100 tokens. The model prints a short description of what is in the picture. For newcomers and experts: Think of this as a large model packed into a smaller file for Apple chips. A good first try is the card's describe command on one of your own photos. If you know the field, this is a conversion rather than new training, done with mlx-vlm 0.4.4 at 4 bits. The card gives no further detail on the base model, quantization method or benchmarks, so read the original Qwen card for those. ```flow Install mlx-vlm Run the generate command Model reads the prompt and image Description prints in the terminal ``` Good to know: - Source: converted from Qwen3.6-35B-A3B, so check that card for the model's details. - Detail: this card has no benchmarks or quality notes. - License: Apache 2.0. - Cost to run: none named. - Data it reaches: it downloads model files from Hugging Face and works on the prompts and images you give it. - Not for: machines without Apple Silicon. ## On Hugging Face, 13 November 2026 - Task: image text to text - Library: mlx - Parameters: 35.1B - Weights: about 140 GB in U32 - Formats: Safetensors - Downloads in the last 30 days: 33,952 - Likes: 124 - License: apache-2.0 - Based on: Qwen/Qwen3.6-35B-A3B - Quantized versions: 6 - Tags: safetensors, qwen3_5_moe, image-text-to-text, conversational, 4-bit ## Links - Model: https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit - Files: https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download mlx-community/Qwen3.6-35B-A3B-4bit ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [mlx-community/Qwen3.6-35B-A3B-4bit on Hugging Face](https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Qwen3.6-35B-A3B-4bit (this page) | 33,952 | 124 | 35.1B | apache-2.0 | 2026-04-16 | | [Qwen3.8-27B-4bit (MLX)](https://mindket.com/p/16870bf9-4fa5-4074-876f-f994c78dd738) | 110,370 | 240 | 27.4B | apache-2.0 | 2026-11-11 | | [Qwen3.8-27B-oQ4e-mtp](https://mindket.com/p/d7bc66cd-7f50-482e-9362-f0e9236d1f32) | 37,954 | 86 | 27.8B | apache-2.0 | 2026-10-29 | | [GLM-5.3-Flash-oQ4e-mtp](https://mindket.com/p/e0eac6dc-388f-4725-bec8-a491a559f867) | 26,944 | 7 | 321B | mit | 2026-10-25 | | [GLM-5.3-Flash EXL3 4bpw for TensorFold](https://mindket.com/p/dc92b67d-d498-4170-8472-86e468d8b950) | 4,746 | 73 | 87.8B | apache-2.0 | 2026-10-03 | | [Qwen3.6-35B-A3B](https://mindket.com/p/dfef98d7-6ad2-4a1a-9899-8ae7d54b170e) | 4,071,952 | 3,119 | 36B | apache-2.0 | 2026-11-07 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-04-16 - First published: 2026-04-16 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open mlx-community/Qwen3.6-35B-A3B-4bit on Hugging Face](https://huggingface.co/mlx-community/Qwen3.6-35B-A3B-4bit) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/fb4b0ecf-3434-415b-9fa4-adecc7ca29b2) - [Its page on Mindket](https://mindket.com/p/fb4b0ecf-3434-415b-9fa4-adecc7ca29b2)