Instructions to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("matrixportalx/BaeZelMente-8B-LINEAR-GGUF", dtype="auto")

llama-cpp-python

How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="matrixportalx/BaeZelMente-8B-LINEAR-GGUF",
	filename="baezelmente-8b-linear-f16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M

Use Docker

docker model run hf.co/matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with Ollama:
```
ollama run hf.co/matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M
```

Unsloth Studio

How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for matrixportalx/BaeZelMente-8B-LINEAR-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for matrixportalx/BaeZelMente-8B-LINEAR-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for matrixportalx/BaeZelMente-8B-LINEAR-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with Docker Model Runner:
```
docker model run hf.co/matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M
```

Lemonade

How to use matrixportalx/BaeZelMente-8B-LINEAR-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull matrixportalx/BaeZelMente-8B-LINEAR-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.BaeZelMente-8B-LINEAR-GGUF-Q4_K_M

List all available models

lemonade list

matrixportal/BaeZelMente-8B-LINEAR-GGUF

This model was converted to GGUF format from DreadPoor/BaeZelMente-8B-LINEAR using llama.cpp via ggml.ai's all-gguf-same-where space. See the original model card for more details about the model. If you prefer to have all your quantized files of the same model together and clickable for download from the main page, you can use the all-gguf-same-where space.

You can access the list of available quantized model files and download links here.

✅ Quantized Models Download List

🔍 Recommended Quantizations

✨ General CPU Use: Q4_K_M (Best balance of speed/quality)
📱 ARM Devices: Q4_0 (Optimized for ARM CPUs)
🏆 Maximum Quality: Q8_0 (Near-original quality)

📦 Full Quantization Options

🚀 Download	🔢 Type	📝 Notes
Download		Basic quantization
Download		Small size
Download		Balanced quality
Download		Better quality
Download		Fast on ARM
Download		Fast, recommended
Download	⭐	Best balance
Download		Good quality
Download		Balanced
Download		High quality
Download	🏆	Very good quality
Download	⚡	Fast, best quality
Download		Maximum accuracy

💡 Tip: Use `F16` for maximum precision when quality is critical

🚀 Tools for Running GGUF Quantized LLMs Locally

🖥️ Desktop Applications

Application	Description	Download Link
Llama.cpp	A fast and efficient inference engine for GGUF models.	GitHub Repository
Ollama	A streamlined solution for running LLMs locally.	Website
AnythingLLM	An AI-powered knowledge management tool.	GitHub Repository
Open WebUI	A user-friendly web interface for running local LLMs.	GitHub Repository
GPT4All	A user-friendly desktop application supporting various LLMs, compatible with GGUF models.	GitHub Repository
LM Studio	A desktop application designed to run and manage local LLMs, supporting GGUF format.	Website
GPT4All Chat	A chat application compatible with GGUF models for local, offline interactions.	GitHub Repository

📱 Mobile Applications

Application	Description	Download Link
ChatterUI	A simple and lightweight LLM app for mobile devices.	GitHub Repository
Maid	Mobile Artificial Intelligence Distribution for running AI models on mobile devices.	GitHub Repository
PocketPal AI	A mobile AI assistant powered by local models.	GitHub Repository
Layla	A flexible platform for running various AI models on mobile devices.	Website

🎨 Image Generation Applications

Application	Description	Download Link
Stable Diffusion	An open-source AI model for generating images from text.	GitHub Repository
Stable Diffusion WebUI	A web application providing access to Stable Diffusion models via a browser interface.	GitHub Repository
Local Dream	Android Stable Diffusion with Snapdragon NPU acceleration. Also supports CPU inference.	GitHub Repository
Stable-Diffusion-Android (SDAI)	An open-source AI art application for Android devices, enabling digital art creation.	GitHub Repository

Downloads last month: 72

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

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