Instructions to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="BeaverAI/Brother-Dusk-14B-v1c-GGUF",
	filename="Brother-Dusk-14B-v1c-Q2_K.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 BeaverAI/Brother-Dusk-14B-v1c-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf BeaverAI/Brother-Dusk-14B-v1c-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 BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf BeaverAI/Brother-Dusk-14B-v1c-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 BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

Use Docker

docker model run hf.co/BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with Ollama:
```
ollama run hf.co/BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M
```

Unsloth Studio

How to use BeaverAI/Brother-Dusk-14B-v1c-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 BeaverAI/Brother-Dusk-14B-v1c-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 BeaverAI/Brother-Dusk-14B-v1c-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for BeaverAI/Brother-Dusk-14B-v1c-GGUF to start chatting

How to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with Docker Model Runner:
```
docker model run hf.co/BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M
```

Lemonade

How to use BeaverAI/Brother-Dusk-14B-v1c-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BeaverAI/Brother-Dusk-14B-v1c-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Brother-Dusk-14B-v1c-GGUF-Q4_K_M

List all available models

lemonade list

Update

by McG-221 - opened Dec 6, 2025

Discussion

McG-221

Dec 6, 2025

Seemed much more verbose to me now, though I only tested a few turns. Started playing itself, making its own choices (all in one turn, 2k tokens output). Didn't look for coherence this time, but... the vibe seemed a bit off for me. Strange word choices, etc. 👀

UniversalLove333

Dec 8, 2025

Is this the new Ministral 14B model? That could be it... I tried it, and it sucked, also tried the 8B and it sucked. I'm no expert in LLM's, but... IME, If the base-instruct model sucks, the fine-tunes are going to be the same.

McG-221

Dec 8, 2025

Is this the new Ministral 14B model? That could be it... I tried it, and it sucked, also tried the 8B and it sucked. I'm no expert in LLM's, but... IME, If the base-instruct model sucks, the fine-tunes are going to be the same.

It is my understanding that this is indeed the new Ministral 14B model. What about it sucked? I have no experience with those, yet...

UniversalLove333

Dec 10, 2025

Ime, it is creative, but makes a lot of mistakes and doesn't flow naturally, compared to Nemo. I tried the base and the instruct version of 14B.

McG-221

Dec 11, 2025

Ime, it is creative, but makes a lot of mistakes and doesn't flow naturally, compared to Nemo. I tried the base and the instruct version of 14B.

Exactly how I felt during my little time with "Brother Dusk"! Thanks 👍

MrDevolver

Dec 14, 2025

•

edited Dec 14, 2025

Have you guys tried it with latest llama.cpp? They merged some fixes for these latest Mistral AI models. While the bigger motivation was the Devstral 2 model, I believe it also improved the Ministral models including its finetunes. More fixes may come later still. I think it's fair to give all of these first finetunes a second chance. I already tried the Brother-Dusk-14B-v1b-GGUF again and it was pretty good.

McG-221

Dec 14, 2025

Have you guys tried it with latest llama.cpp? They merged some fixes for these latest Mistral AI models. While the bigger motivation was the Devstral 2 model, I believe it also improved the Ministral models including its finetunes. More fixes may come later still. I think it's fair to give all of these first finetunes a second chance. I already tried the Brother-Dusk-14B-v1b-GGUF again and it was pretty good.

Thanks, will try that out!

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