Assistant_Pepe_32B

Assistant_Pepe_32B

A 32.8B-parameter English model built on Qwen3-32B and released in 8B, 32B and 70B versions. The card text shows only page styling, so its exact purpose is not stated. Suits people who already follow this model line.

Made by SicariusSicariiStuff 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: Assistant_Pepe_32B is a 32.8 billion parameter English language model from SicariusSicariiStuff, built on Qwen3-32B. The card lists three sizes of the line, 8B, 32B and 70B. The card text visible here is page styling and gives no description, so what the model is tuned for is not stated.

Who it suits: People who already follow this model line and want its 32B size, under the Apache 2.0 license.

Industry | Who uses it | How they use it | Example
Software | Developers | Run a 32B-class model on their own GPUs | Test it on prompts from your own app
Research | ML researchers | Compare the three sizes of the line | Run the same prompts on 8B and 32B
Hobby use | Local model users | Chat with a mid-sized model offline | Try it after downloading the files
Tooling | Tool builders | Check how a Qwen3-based model behaves in their stack | Load it in a local test setup

Skip it if you need a documented purpose, benchmarks or example outputs, since the card text here gives none.

Where to use it: The record gives the files in Safetensors format only.

• Tools that load Safetensors checkpoints for Qwen3-based models
• Windows, macOS or Linux, with Python for the download
• Machines with enough memory for a model of this size

Use case | Who | What they get back
Local text generation | Developers | Text replies from a prompt you send
Size comparison | Researchers | Outputs to compare across the 8B, 32B and 70B versions

How to set it up: You need Python and a large amount of free disk and memory.

• Python with pip
• Space for the weights: roughly 65.5 GB at BF16 precision, or roughly 16.4 GB when squeezed to 4-bit
• A runtime that can load Qwen3-based Safetensors models

1. Install the Hugging Face hub tools with pip.
2. Download the model files with the hf command.
3. Load the folder in your runtime of choice.

pip install -U huggingface_hub
hf download SicariusSicariiStuff/Assistant_Pepe_32B

How to use it: Load the downloaded folder in your runtime and send it a prompt. The card text shown here gives no prompt format or settings, so check the repository files for a chat template.

Tool | What it does
hf download | Fetches the repository to your computer
Runtime of your choice | Loads the weights and generates text

Example: You download the files, load them in a local runtime and send a short question. The model replies with generated text, and you judge the quality for your own use.

For newcomers and experts: If you are new to local models, start with the smaller 8B version of the line before the 32B one. Ask a short question to confirm that your setup works.

If you know the field, the record names Qwen3-32B as the base and gives 32.8B parameters. The card text here does not list the training method, the data or any evaluation.

Download files with hf
Load them in a runtime
Send a prompt
Read the generated text

Good to know: The visible card is mostly style rules, so check the repository page for the real description before relying on the model.

Title: Weight size in GB
BF16: 65.5 GB
4-bit (estimate): 16.4 GB

• License: Apache 2.0
• Cost to run: none named, apart from your own hardware
• Data it reaches: the model files on your computer, and nothing else the card names
• Not for: anything the card does not describe, since it gives no purpose or limits

On Hugging Face, 13 November 2026

• Parameters: 32.8B
• Weights: about 65.5 GB in BF16; about 16.4 GB at 4-bit (estimate)
• Formats: Safetensors
• Downloads in the last 30 days: 1,013
• Likes: 89
• License: apache-2.0
• Languages: en
• Based on: Qwen/Qwen3-32B
• Quantized versions: 13
• Tags: safetensors, qwen3, pepe

Links

• Model: https://huggingface.co/SicariusSicariiStuff/Assistant_Pepe_32B
• Files: https://huggingface.co/SicariusSicariiStuff/Assistant_Pepe_32B/tree/main

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download SicariusSicariiStuff/Assistant_Pepe_32B

Then follow the usage in its model card. Nothing in this kit runs by itself.