Instructions to use MachadoDeCastro/krull-7b.Q8_0.gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use MachadoDeCastro/krull-7b.Q8_0.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 MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0
# Run inference directly in the terminal:
llama cli -hf MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0

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 MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0

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 MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0

Use Docker

docker model run hf.co/MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0

LM Studio
Jan
Ollama
How to use MachadoDeCastro/krull-7b.Q8_0.gguf with Ollama:
```
ollama run hf.co/MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0
```

Unsloth Studio

How to use MachadoDeCastro/krull-7b.Q8_0.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 MachadoDeCastro/krull-7b.Q8_0.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 MachadoDeCastro/krull-7b.Q8_0.gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MachadoDeCastro/krull-7b.Q8_0.gguf to start chatting

Docker Model Runner
How to use MachadoDeCastro/krull-7b.Q8_0.gguf with Docker Model Runner:
```
docker model run hf.co/MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0
```

Lemonade

How to use MachadoDeCastro/krull-7b.Q8_0.gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MachadoDeCastro/krull-7b.Q8_0.gguf:Q8_0

Run and chat with the model

lemonade run user.krull-7b.Q8_0.gguf-Q8_0

List all available models

lemonade list

Atomic Chat

KRULL 7B - Specialist in RAG and Manuals (GGUF)

KRULL is a lightweight language model (7 billion parameters) optimized for inference on Edge Devices (standard CPUs, laptops, and local servers with low memory).

It underwent fine-tuning (via QLoRA) from DeepSeek-R1-Distill-Qwen-7B with an absolute focus on RAG (Retrieval-Augmented Generation). The model is trained to read PDF documents, Human Resources (HR) manuals, and Public Servant rules, answering questions strictly and without hallucinating information outside the given context.

Model Details

Base Model: DeepSeek-R1-Distill-Qwen-7B
Tamanho: 7 Billion Parameters
Formato: GGUF (Optimized for CPU and RAM)
Quantização Recomendada: Q8_0 (8-bit) to preserve the quality of the Portuguese vocabulary.
Idioma Principal: Portuguese (pt-BR)
Especialidade: Context Analysis (RAG), PDF Reading, and Logical Reasoning (Chain of Thought).

How to Use (Ollama and Open WebUI)

You do not need to download the file manually. Hugging Face and Ollama have native integration.

Running via Ollama CLI (Terminal)

If you have Ollama installed, simply run the command below in your terminal to download and run the model instantly:

ollama run hf.co/MachadoDeCastro/krull-7b.Q8_0.gguf

Downloads last month: 155

GGUF

Model size

8B params

Architecture

qwen2

Hardware compatibility

8-bit

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Model tree for MachadoDeCastro/krull-7b.Q8_0.gguf

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