Instructions to use FoolDev/Janus-35B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FoolDev/Janus-35B with Transformers:

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

pipe = pipeline("image-text-to-text", model="FoolDev/Janus-35B")
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/Janus-35B", dtype="auto")

llama-cpp-python

How to use FoolDev/Janus-35B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="FoolDev/Janus-35B",
	filename="Janus-35B-A3B.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/Janus-35B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf FoolDev/Janus-35B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf FoolDev/Janus-35B: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/Janus-35B:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf FoolDev/Janus-35B: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/Janus-35B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf FoolDev/Janus-35B: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/Janus-35B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf FoolDev/Janus-35B:Q4_K_M

Use Docker

docker model run hf.co/FoolDev/Janus-35B:Q4_K_M

LM Studio
Jan

vLLM

How to use FoolDev/Janus-35B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FoolDev/Janus-35B"
# 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/Janus-35B",
		"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/Janus-35B:Q4_K_M

SGLang

How to use FoolDev/Janus-35B 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/Janus-35B" \
    --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/Janus-35B",
		"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/Janus-35B" \
        --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/Janus-35B",
		"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/Janus-35B with Ollama:
```
ollama run hf.co/FoolDev/Janus-35B:Q4_K_M
```

Unsloth Studio new

How to use FoolDev/Janus-35B 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/Janus-35B 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/Janus-35B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for FoolDev/Janus-35B to start chatting

Pi new

How to use FoolDev/Janus-35B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf FoolDev/Janus-35B: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/Janus-35B:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use FoolDev/Janus-35B 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/Janus-35B: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/Janus-35B:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use FoolDev/Janus-35B with Docker Model Runner:
```
docker model run hf.co/FoolDev/Janus-35B:Q4_K_M
```

Lemonade

How to use FoolDev/Janus-35B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull FoolDev/Janus-35B:Q4_K_M

Run and chat with the model

lemonade run user.Janus-35B-Q4_K_M

List all available models

lemonade list

FoolDev Claude Opus 4.7 commited on 6 days ago

Commit

52b76d1

1 Parent(s): 64b629a

Update sibling link: Thanatos-27B → Thanatos-27B-Heretic

Browse files

The dense sibling repo was renamed on 2026-05-23
(FoolDev/Thanatos-27B → FoolDev/Thanatos-27B-Heretic) along with
a base swap to llmfan46/Qwen3.6-27B-uncensored-heretic-v2 (an
uncensored Heretic-style abliteration of the Qwen 3.6 27B base).

README "Related models" row updated to the canonical name with a
refreshed description noting the Heretic base, the uncensored
property, and the old-path 307 redirect HF still serves.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Files changed (2) hide show

CHANGELOG.md +9 -0
README.md +1 -1

CHANGELOG.md CHANGED Viewed

@@ -8,6 +8,15 @@ track the **tooling and documentation**, not the underlying base model.
 ## [Unreleased]
 ### Added
 - Root-level `template`, `system`, and `params` files for HF's Ollama
   bridge. The bridge generates Ollama manifests at request time from

 ## [Unreleased]
+### Changed (sibling rename — Thanatos-27B → Thanatos-27B-Heretic)
+- **README "Related models" row** updated to point at
+  `FoolDev/Thanatos-27B-Heretic` (the dense sibling renamed from
+  `FoolDev/Thanatos-27B` on 2026-05-23 along with a base swap to
+  `llmfan46/Qwen3.6-27B-uncensored-heretic-v2`, an uncensored
+  Heretic-style abliteration of Qwen 3.6 27B). Description now
+  notes the Heretic base, the uncensored property, and the
+  old-path 307 redirect HF serves.
 ### Added
 - Root-level `template`, `system`, and `params` files for HF's Ollama
   bridge. The bridge generates Ollama manifests at request time from

README.md CHANGED Viewed

@@ -323,7 +323,7 @@ print(resp.choices[0].message.tool_calls)
 | Model | Size | Notes |
 |---|---|---|
 | [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | 35B / 3B active | Upstream base model. `transformers`-native multimodal weights. |
-| [FoolDev/Thanatos-27B](https://huggingface.co/FoolDev/Thanatos-27B) | 27B dense | Dense sibling on the Qwen 3.6 27B base. Same teacher (Opus 4.7), same dataset family, smaller memory footprint, no MoE quirks. |
 | [Crownelius/Crow-9B-HERETIC-4.6](https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6) | 9B dense | Heretic-flavored fine-tune of the same Qwen 3.5 9B base used as a smaller starting point. Useful as a fast first-pass model when 35B is too heavy for the host. |
 ## Credits

 | Model | Size | Notes |
 |---|---|---|
 | [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | 35B / 3B active | Upstream base model. `transformers`-native multimodal weights. |
+| [FoolDev/Thanatos-27B-Heretic](https://huggingface.co/FoolDev/Thanatos-27B-Heretic) | 27B dense | Dense sibling, now on `llmfan46/Qwen3.6-27B-uncensored-heretic-v2` (Heretic-style abliteration of the Qwen 3.6 27B base). Same teacher (Opus 4.7), same dataset family, smaller memory footprint, no MoE quirks, uncensored. (Renamed from `FoolDev/Thanatos-27B` — HF serves a 307 from the old path.) |
 | [Crownelius/Crow-9B-HERETIC-4.6](https://huggingface.co/Crownelius/Crow-9B-HERETIC-4.6) | 9B dense | Heretic-flavored fine-tune of the same Qwen 3.5 9B base used as a smaller starting point. Useful as a fast first-pass model when 35B is too heavy for the host. |
 ## Credits