Instructions to use Crownelius/Crow-9B-HERETIC-4.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Crownelius/Crow-9B-HERETIC-4.6 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Crownelius/Crow-9B-HERETIC-4.6",
	filename="Qwen3.5-9B-heretic-v2.BF16-mmproj.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 Crownelius/Crow-9B-HERETIC-4.6 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Crownelius/Crow-9B-HERETIC-4.6: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 Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Crownelius/Crow-9B-HERETIC-4.6: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 Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M

Use Docker

docker model run hf.co/Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M

LM Studio
Jan
Ollama
How to use Crownelius/Crow-9B-HERETIC-4.6 with Ollama:
```
ollama run hf.co/Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M
```

Unsloth Studio

How to use Crownelius/Crow-9B-HERETIC-4.6 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 Crownelius/Crow-9B-HERETIC-4.6 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 Crownelius/Crow-9B-HERETIC-4.6 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Crownelius/Crow-9B-HERETIC-4.6 to start chatting

How to use Crownelius/Crow-9B-HERETIC-4.6 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Crownelius/Crow-9B-HERETIC-4.6: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": "Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Crownelius/Crow-9B-HERETIC-4.6 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Crownelius/Crow-9B-HERETIC-4.6: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 Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use Crownelius/Crow-9B-HERETIC-4.6 with Docker Model Runner:
```
docker model run hf.co/Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M
```

Lemonade

How to use Crownelius/Crow-9B-HERETIC-4.6 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Crownelius/Crow-9B-HERETIC-4.6:Q4_K_M

Run and chat with the model

lemonade run user.Crow-9B-HERETIC-4.6-Q4_K_M

List all available models

lemonade list

Thank you for the fascinating model!

#12

by BingoBird - opened Mar 17

Discussion

BingoBird

Mar 17

•

edited Mar 17

Thank you for delivering one of the only interesting qwen3.5 finetunes. This is challenging frontier research!

The eqbench scores reported here look exceptionally good vs the leaderboards at https://eqbench.com

On my few tests, I had no refusals and ability to generate narratives counter to contemporary social dogma appeared above-average.

Excessive thinking habits are reduced.

I am not qualified to do a comparative review of the prose, RP, storytelling or suitability for general chat.

As a coding co-pilot (not agentic) in my niche domain it is considerably worse than stock Qwen3.5 9B at translating objectives to appropriate programs.

For me, it is a 'keeper' for now because it approaches problems differently from stock 9B and this might make it useful in an 'ensemble' of small models - it may be able to present a usefully different view at low memory and inference cost.

[note, don't use a RP system prompt for coding]

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment