MoMo-70B-V1.0-GGUF

tensorblock/MoMo-70B-V1.0-GGUF

MoMo-70B-V1.0-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 llama2.

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Downloads · 30 days

3% of all-time downloads

All-time downloads

1.2K

Public

Repo size

518 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf25.5 GB · 100%

At a glance

Library: transformers
License: llama2
Access: Public
Created: Jan 7, 2025
Updated: Jan 27, 2026
SHA: 6f0c7fbf

Base models

bongchoi/MoMo-70B-V1.0

Model card

From the Hugging Face model README

bongchoi/MoMo-70B-V1.0 - GGUF

This repo contains GGUF format model files for bongchoi/MoMo-70B-V1.0.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

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Model file specification

Filename	Quant type	File Size	Description
MoMo-70B-V1.0-Q2_K.gguf	Q2_K	25.462 GB	smallest, significant quality loss - not recommended for most purposes
MoMo-70B-V1.0-Q3_K_S.gguf	Q3_K_S	29.919 GB	very small, high quality loss
MoMo-70B-V1.0-Q3_K_M.gguf	Q3_K_M	33.275 GB	very small, high quality loss
MoMo-70B-V1.0-Q3_K_L.gguf	Q3_K_L	36.148 GB	small, substantial quality loss
MoMo-70B-V1.0-Q4_0.gguf	Q4_0	38.872 GB	legacy; small, very high quality loss - prefer using Q3_K_M
MoMo-70B-V1.0-Q4_K_S.gguf	Q4_K_S	39.250 GB	small, greater quality loss
MoMo-70B-V1.0-Q4_K_M.gguf	Q4_K_M	41.423 GB	medium, balanced quality - recommended
MoMo-70B-V1.0-Q5_0.gguf	Q5_0	47.461 GB	legacy; medium, balanced quality - prefer using Q4_K_M
MoMo-70B-V1.0-Q5_K_S.gguf	Q5_K_S	47.461 GB	large, low quality loss - recommended
MoMo-70B-V1.0-Q5_K_M.gguf	Q5_K_M	48.754 GB	large, very low quality loss - recommended
MoMo-70B-V1.0-Q6_K	Q6_K	56.587 GB	very large, extremely low quality loss
MoMo-70B-V1.0-Q8_0	Q8_0	73.292 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/MoMo-70B-V1.0-GGUF --include "MoMo-70B-V1.0-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/MoMo-70B-V1.0-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

Library: transformers
License: llama2
Languages: en
Created: Jan 7, 2025
Updated: Jan 27, 2026