Instructions to use FoolDev/Thanatos-27B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FoolDev/Thanatos-27B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="FoolDev/Thanatos-27B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("FoolDev/Thanatos-27B", dtype="auto")

llama-cpp-python

How to use FoolDev/Thanatos-27B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="FoolDev/Thanatos-27B",
	filename="Thanatos-27B.Q4_K_M.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": [
				{
					"type": "text",
					"text": "Describe this image in one sentence."
				},
				{
					"type": "image_url",
					"image_url": {
						"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
					}
				}
			]
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use FoolDev/Thanatos-27B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf FoolDev/Thanatos-27B:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf FoolDev/Thanatos-27B: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 FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf FoolDev/Thanatos-27B: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 FoolDev/Thanatos-27B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf FoolDev/Thanatos-27B:Q4_K_M

Use Docker

docker model run hf.co/FoolDev/Thanatos-27B:Q4_K_M

LM Studio
Jan

vLLM

How to use FoolDev/Thanatos-27B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FoolDev/Thanatos-27B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FoolDev/Thanatos-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/FoolDev/Thanatos-27B:Q4_K_M

SGLang

How to use FoolDev/Thanatos-27B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "FoolDev/Thanatos-27B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FoolDev/Thanatos-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "FoolDev/Thanatos-27B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FoolDev/Thanatos-27B",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Ollama
How to use FoolDev/Thanatos-27B with Ollama:
```
ollama run hf.co/FoolDev/Thanatos-27B:Q4_K_M
```

Unsloth Studio new

How to use FoolDev/Thanatos-27B 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 FoolDev/Thanatos-27B 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 FoolDev/Thanatos-27B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for FoolDev/Thanatos-27B to start chatting

Pi new

How to use FoolDev/Thanatos-27B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf FoolDev/Thanatos-27B: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": "FoolDev/Thanatos-27B:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use FoolDev/Thanatos-27B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf FoolDev/Thanatos-27B: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 FoolDev/Thanatos-27B:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use FoolDev/Thanatos-27B with Docker Model Runner:
```
docker model run hf.co/FoolDev/Thanatos-27B:Q4_K_M
```

Lemonade

How to use FoolDev/Thanatos-27B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull FoolDev/Thanatos-27B:Q4_K_M

Run and chat with the model

lemonade run user.Thanatos-27B-Q4_K_M

List all available models

lemonade list

FoolDev commited on 27 days ago

Commit

70c2f62

1 Parent(s): 5cb1604

Fix stale references to pre-bundled-GGUF era

Browse files

examples/README.md:
- 'Three minimal entry points' -> 'Four' (table lists 4)
- 'Or build locally with a different upstream quant' snippet was stale:
it told users to hf-download Q4_K_M (now bundled) and manually edit
../Modelfile FROM (bundled file already points at ./Janus-27B.Q4_K_M.gguf).
Replaced with the canonical 'make build' flow plus a note that
'make build QUANT=...' handles non-bundled quants by patching FROM
into a temp Modelfile copy automatically.

CITATION.cff:
- Abstract claimed 'weights ... rather than redistributed' but commits
b0d8482 (Q4_K_M) and 4c20ab5 (Q3_K_S) added bundled GGUFs. Updated
to acknowledge the two redistributed quants while noting other quants
+ safetensors are still pulled on demand.

CHANGELOG: log all three fixes.

Files changed (3) hide show

CHANGELOG.md +15 -0
CITATION.cff +5 -3
examples/README.md +13 -5

CHANGELOG.md CHANGED Viewed

@@ -33,6 +33,21 @@ and documentation**, not the underlying base model.
   the repo now ships, so the no-edit flow `ollama create janus-27b
   -f ../Modelfile` works out of the box. Replaced the four-step list
   with two paths (bundled-GGUF or pull-from-HF) covering both flows.
 ### Added
 - `Modelfile` hardware notes: log a measured data point for the

   the repo now ships, so the no-edit flow `ollama create janus-27b
   -f ../Modelfile` works out of the box. Replaced the four-step list
   with two paths (bundled-GGUF or pull-from-HF) covering both flows.
+- `examples/README.md`: header said "Three minimal entry points" but
+  the table lists four (`ollama_chat.py`, `transformers_quickstart.py`,
+  `llama_cpp_quickstart.py`, `llama_cpp_vision.py`).
+- `examples/README.md` "Or build locally with a different upstream
+  quant" snippet was stale: it told users to `hf download` Q4_K_M (now
+  bundled) and manually edit `../Modelfile` `FROM` (the bundled file
+  already points at `./Janus-27B.Q4_K_M.gguf`). Replaced with the
+  canonical `make build` flow, plus a note that `make build QUANT=...`
+  handles a non-bundled quant by patching `FROM` in a temp Modelfile
+  copy automatically (matches what `scripts/build.sh` actually does).
+- `CITATION.cff` abstract: claimed "weights are pulled from upstream …
+  rather than redistributed" but commits b0d8482 (Q4_K_M) and 4c20ab5
+  (Q3_K_S) added bundled GGUFs to the repo. Updated to acknowledge the
+  two redistributed quants while noting other quants + safetensors are
+  still pulled on demand.
 ### Added
 - `Modelfile` hardware notes: log a measured data point for the

CITATION.cff CHANGED Viewed

@@ -10,9 +10,11 @@ url: "https://huggingface.co/FoolDev/janus-27b"
 abstract: >-
   Janus-27B is a personal repackaging of the dense Qwen 3.6 27B base model
   with Claude Opus 4.7 in the reasoning teacher slot. The repository ships
-  an Ollama Modelfile, sampling defaults, and usage examples; weights are
-  pulled from upstream (Qwen/Qwen3.6-27B safetensors or
-  unsloth/Qwen3.6-27B-GGUF quants) rather than redistributed.
 keywords:
   - qwen
   - qwen3.6

 abstract: >-
   Janus-27B is a personal repackaging of the dense Qwen 3.6 27B base model
   with Claude Opus 4.7 in the reasoning teacher slot. The repository ships
+  an Ollama Modelfile, sampling defaults, usage examples, and two
+  ready-to-run GGUFs (Q4_K_M ~17 GB and Q3_K_S ~12 GB) so the HF "Use
+  this model" widget surfaces a one-liner Ollama snippet. Other quants
+  and the upstream safetensors (Qwen/Qwen3.6-27B) are pulled from
+  upstream on demand rather than redistributed.
 keywords:
   - qwen
   - qwen3.6

examples/README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 # Janus-27B examples
-Three minimal entry points. Pick the one that matches how you run models.
 | File | Backend | When to use |
 |---|---|---|
@@ -26,12 +26,20 @@ pip install requests
 MODEL=hf.co/FoolDev/janus-27b python ollama_chat.py
 ```
-Or build locally with a different upstream quant:
 ```bash
-hf download unsloth/Qwen3.6-27B-GGUF Qwen3.6-27B-Q4_K_M.gguf --local-dir .
-# edit ../Modelfile -> FROM ./Qwen3.6-27B-Q4_K_M.gguf
-ollama create janus-27b -f ../Modelfile
 python ollama_chat.py
 ```

 # Janus-27B examples
+Four minimal entry points. Pick the one that matches how you run models.
 | File | Backend | When to use |
 |---|---|---|
 MODEL=hf.co/FoolDev/janus-27b python ollama_chat.py
 ```
+Or build locally from this repo (uses the bundled `Janus-27B.Q4_K_M.gguf`,
+no edits required):
 ```bash
+cd ..  &&  make build  &&  cd examples
+python ollama_chat.py
+```
+For a quant the repo doesn't bundle (e.g. Q5_K_M), `make build` will
+fetch it from `unsloth/Qwen3.6-27B-GGUF` and patch the `Modelfile`
+`FROM` line into a temp copy automatically:
+```bash
+cd ..  &&  make build QUANT=Q5_K_M  &&  cd examples
 python ollama_chat.py
 ```