Marx-3B-V2-GGUF

tensorblock/Marx-3B-V2-GGUF

Marx-3B-V2-GGUF is a machine learning model from tensorblock. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

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Downloads · 30 days

5% of all-time downloads

All-time downloads

Public

Repo size

30.3 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf4.1 GB · 100%

At a glance

Library: transformers
License: apache-2.0
Access: Public
Created: Nov 22, 2024
Updated: Jan 27, 2026
SHA: 7c180912

Base models

acrastt/Marx-3B-V2

Datasets

totally-not-an-llm/EverythingLM-data-V2-sharegpt

Model card

From the Hugging Face model README

acrastt/Marx-3B-V2 - GGUF

This repo contains GGUF format model files for acrastt/Marx-3B-V2.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.

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Model file specification

Filename	Quant type	File Size	Description
Marx-3B-V2-Q2_K.gguf	Q2_K	1.844 GB	smallest, significant quality loss - not recommended for most purposes
Marx-3B-V2-Q3_K_S.gguf	Q3_K_S	1.844 GB	very small, high quality loss
Marx-3B-V2-Q3_K_M.gguf	Q3_K_M	1.992 GB	very small, high quality loss
Marx-3B-V2-Q3_K_L.gguf	Q3_K_L	2.062 GB	small, substantial quality loss
Marx-3B-V2-Q4_0.gguf	Q4_0	1.844 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Marx-3B-V2-Q4_K_S.gguf	Q4_K_S	2.238 GB	small, greater quality loss
Marx-3B-V2-Q4_K_M.gguf	Q4_K_M	2.403 GB	medium, balanced quality - recommended
Marx-3B-V2-Q5_0.gguf	Q5_0	2.231 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Marx-3B-V2-Q5_K_S.gguf	Q5_K_S	2.424 GB	large, low quality loss - recommended
Marx-3B-V2-Q5_K_M.gguf	Q5_K_M	2.568 GB	large, very low quality loss - recommended
Marx-3B-V2-Q6_K.gguf	Q6_K	3.392 GB	very large, extremely low quality loss
Marx-3B-V2-Q8_0.gguf	Q8_0	3.392 GB	very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/Marx-3B-V2-GGUF --include "Marx-3B-V2-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/Marx-3B-V2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Library: transformers
License: apache-2.0
Languages: en
Created: Nov 22, 2024
Updated: Jan 27, 2026