Everyone-Coder-4x7b-Base-GGUF

tensorblock/Everyone-Coder-4x7b-Base-GGUF

Everyone-Coder-4x7b-Base-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. The card lists the license as cc-by-4.0.

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Downloads · 30 days

5% of all-time downloads

All-time downloads

1.7K

Public

Repo size

181 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf20.4 GB · 100%

At a glance

License: cc-by-4.0
Access: Public
Created: Nov 11, 2024
Updated: Jan 27, 2026
SHA: 8666a501

Base models

rombodawg/Everyone-Coder-4x7b-Base

Model card

From the Hugging Face model README

rombodawg/Everyone-Coder-4x7b-Base - GGUF

This repo contains GGUF format model files for rombodawg/Everyone-Coder-4x7b-Base.

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
Everyone-Coder-4x7b-Base-Q2_K.gguf	Q2_K	8.236 GB	smallest, significant quality loss - not recommended for most purposes
Everyone-Coder-4x7b-Base-Q3_K_S.gguf	Q3_K_S	9.717 GB	very small, high quality loss
Everyone-Coder-4x7b-Base-Q3_K_M.gguf	Q3_K_M	10.785 GB	very small, high quality loss
Everyone-Coder-4x7b-Base-Q3_K_L.gguf	Q3_K_L	11.683 GB	small, substantial quality loss
Everyone-Coder-4x7b-Base-Q4_0.gguf	Q4_0	12.688 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Everyone-Coder-4x7b-Base-Q4_K_S.gguf	Q4_K_S	12.799 GB	small, greater quality loss
Everyone-Coder-4x7b-Base-Q4_K_M.gguf	Q4_K_M	13.607 GB	medium, balanced quality - recommended
Everyone-Coder-4x7b-Base-Q5_0.gguf	Q5_0	15.485 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Everyone-Coder-4x7b-Base-Q5_K_S.gguf	Q5_K_S	15.485 GB	large, low quality loss - recommended
Everyone-Coder-4x7b-Base-Q5_K_M.gguf	Q5_K_M	15.958 GB	large, very low quality loss - recommended
Everyone-Coder-4x7b-Base-Q6_K.gguf	Q6_K	18.456 GB	very large, extremely low quality loss
Everyone-Coder-4x7b-Base-Q8_0.gguf	Q8_0	23.904 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/Everyone-Coder-4x7b-Base-GGUF --include "Everyone-Coder-4x7b-Base-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/Everyone-Coder-4x7b-Base-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

License: cc-by-4.0
Created: Nov 11, 2024
Updated: Jan 27, 2026