Instructions to use FoolDev/Janus-35B-HERETIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FoolDev/Janus-35B-HERETIC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="FoolDev/Janus-35B-HERETIC") 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-HERETIC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use FoolDev/Janus-35B-HERETIC 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 FoolDev/Janus-35B-HERETIC:Q4_K_M # Run inference directly in the terminal: llama cli -hf FoolDev/Janus-35B-HERETIC:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FoolDev/Janus-35B-HERETIC:Q4_K_M # Run inference directly in the terminal: llama cli -hf FoolDev/Janus-35B-HERETIC: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-HERETIC:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf FoolDev/Janus-35B-HERETIC: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-HERETIC:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf FoolDev/Janus-35B-HERETIC:Q4_K_M
Use Docker
docker model run hf.co/FoolDev/Janus-35B-HERETIC:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use FoolDev/Janus-35B-HERETIC with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FoolDev/Janus-35B-HERETIC" # 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-HERETIC", "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-HERETIC:Q4_K_M
- SGLang
How to use FoolDev/Janus-35B-HERETIC 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-HERETIC" \ --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-HERETIC", "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-HERETIC" \ --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-HERETIC", "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-HERETIC with Ollama:
ollama run hf.co/FoolDev/Janus-35B-HERETIC:Q4_K_M
- Unsloth Studio
How to use FoolDev/Janus-35B-HERETIC 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-HERETIC 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-HERETIC 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-HERETIC to start chatting
- Pi
How to use FoolDev/Janus-35B-HERETIC with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf FoolDev/Janus-35B-HERETIC: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-HERETIC:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use FoolDev/Janus-35B-HERETIC with Docker Model Runner:
docker model run hf.co/FoolDev/Janus-35B-HERETIC:Q4_K_M
- Lemonade
How to use FoolDev/Janus-35B-HERETIC with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FoolDev/Janus-35B-HERETIC:Q4_K_M
Run and chat with the model
lemonade run user.Janus-35B-HERETIC-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use FoolDev/Janus-35B-HERETIC with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf FoolDev/Janus-35B-HERETIC: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-HERETIC:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use FoolDev/Janus-35B-HERETIC with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf FoolDev/Janus-35B-HERETIC:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "FoolDev/Janus-35B-HERETIC:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Post-audit README fixes + add .gitignore
Browse filesA read-only 5-dimension audit of the model card surfaced two verified
doc-accuracy defects and one repo-hygiene gap vs the dense sibling.
Fixed (README):
- Hardware section said "18.9 GB" for the bundled Q4_K_M; the file is
~19.8 GB and the rest of the card says "~19 GB" (TL;DR, "What's here"
table, Ollama quick-start). Unified to "~19 GB".
- "Related models" table still told users to pull Heretic GGUFs "until
the bundled blob is rebundled" β but the rebundle is done (commit
b302576; see the "Bundled blob status" callout). Reworded to "pull
other quants here; the bundled Q4_K_M is already this Heretic quant."
Added:
- .gitignore, mirrored from FoolDev/Thanatos-27B-HERETIC and tailored to
Janus (keeps the shipped Janus-35B-A3B.*.gguf; drops the sibling's
rename_arch.py rebadge line, which Janus has no script for). The repo
ships Python scripts that generate __pycache__ and had no ignore file
guarding the public repo against junk / stray-GGUF commits.
CHANGELOG [Unreleased] updated to match. Bridge-sync still passes; the
bundled GGUF is not caught by the new ignore rules.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- .gitignore +29 -0
- CHANGELOG.md +19 -0
- README.md +2 -2
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# Python
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__pycache__/
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*.egg-info/
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venv/
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# Local model weights. We don't redistribute the upstream Qwen GGUFs
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# here β scripts/build.sh fetches one from
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# llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-GGUF locally. The single
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# Janus-35B-A3B.*.gguf we DO ship backs the HF/Ollama "Use this model"
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# widget (ollama run hf.co/FoolDev/Janus-35B-HERETIC).
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*.gguf
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!Janus-35B-A3B.*.gguf
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*.safetensors
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*.bin
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# Build / runtime artifacts that get created if anyone runs hf download or
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# scripts/build.sh from inside the repo.
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.cache/
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*.incomplete
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*.lock
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# Editor / OS
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.DS_Store
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*.swp
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*~
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## [Unreleased]
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### Changed (HF repo rename β FoolDev/Janus-35B-HERETIC)
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- **HF repository slug renamed `FoolDev/Janus-35B` β `FoolDev/Janus-35B-HERETIC`.**
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The old slug now 307-redirects to the new one. The model's **display name
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## [Unreleased]
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### Fixed (post-rebundle README drift)
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- **Hardware section GGUF size `18.9 GB` β `~19 GB`** β matches the actual
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~19.8 GB bundled file and the `~19 GB` already used in the TL;DR, the
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"What's here" table, and the Ollama quick-start.
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- **Dropped the stale "until the bundled blob is rebundled" note** from the
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Heretic-GGUF row of the "Related models" table. The rebundle is complete
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(see the base-swap entry below and the "Bundled blob status" callout); the
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row now reads "pull other quants here; the bundled Q4_K_M is already this
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Heretic quant."
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### Added (repo hygiene)
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- **`.gitignore`** β mirrors the dense sibling `FoolDev/Thanatos-27B-HERETIC`,
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tailored to Janus: ignores Python caches / venvs, HF / `scripts/build.sh`
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runtime artifacts (`.cache/`, `*.incomplete`, `*.lock`), and stray weights
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(`*.gguf` / `*.safetensors` / `*.bin`) while keeping the shipped
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`Janus-35B-A3B.*.gguf` that backs the "Use this model" widget. Omits the
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sibling's `scripts/rename_arch.py` rebadge-ignore line (Janus has no such
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script).
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### Changed (HF repo rename β FoolDev/Janus-35B-HERETIC)
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- **HF repository slug renamed `FoolDev/Janus-35B` β `FoolDev/Janus-35B-HERETIC`.**
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The old slug now 307-redirects to the new one. The model's **display name
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## Hardware requirements
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This is
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| Hardware | Status |
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| Model | Size | Notes |
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|---|---|---|
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| [llmfan46/Qwen3.6-35B-A3B-uncensored-heretic](https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic) | 35B / 3B active | **Immediate base.** Uncensored Heretic abliteration of Qwen 3.6 35B-A3B; `transformers`-native safetensors. |
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| [llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-GGUF](https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-GGUF) | 35B / 3B active | Heretic GGUFs β pull
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| [llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved](https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved) | 35B / 3B active | Same Heretic base but keeps the MTP head for vLLM / SGLang speculative decoding. |
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| [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | 35B / 3B active | Upstream pre-Heretic base model. `transformers`-native multimodal weights. |
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| [FoolDev/Thanatos-27B-HERETIC](https://huggingface.co/FoolDev/Thanatos-27B-HERETIC) | 27B dense | Dense sibling on the [`llmfan46/Qwen3.6-27B-uncensored-heretic-v2`](https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2) Heretic base. Same teacher (Fable 5), same dataset family, smaller memory footprint, no MoE quirks. (The older `FoolDev/Thanatos-27B` and `Thanatos-27B-Heretic` slugs now 307 to this path.) |
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## Hardware requirements
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This is a ~19 GB Q4_K_M GGUF. Ollama's runtime footprint at default settings is **roughly 2Γ the model file** (weights mmap + compute graph allocation), plus KV cache β so ~38 GB total memory at `num_ctx 16384`. The compute-graph allocation scales with context and batch size, so 32 GB hosts can fit the model by trimming both (see Z13 row in the table).
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| Hardware | Status |
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| Model | Size | Notes |
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| [llmfan46/Qwen3.6-35B-A3B-uncensored-heretic](https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic) | 35B / 3B active | **Immediate base.** Uncensored Heretic abliteration of Qwen 3.6 35B-A3B; `transformers`-native safetensors. |
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| [llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-GGUF](https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-GGUF) | 35B / 3B active | Heretic GGUFs β pull other quants here; the bundled Q4_K_M is already this Heretic quant. |
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| [llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved](https://huggingface.co/llmfan46/Qwen3.6-35B-A3B-uncensored-heretic-Native-MTP-Preserved) | 35B / 3B active | Same Heretic base but keeps the MTP head for vLLM / SGLang speculative decoding. |
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| [Qwen/Qwen3.6-35B-A3B](https://huggingface.co/Qwen/Qwen3.6-35B-A3B) | 35B / 3B active | Upstream pre-Heretic base model. `transformers`-native multimodal weights. |
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| [FoolDev/Thanatos-27B-HERETIC](https://huggingface.co/FoolDev/Thanatos-27B-HERETIC) | 27B dense | Dense sibling on the [`llmfan46/Qwen3.6-27B-uncensored-heretic-v2`](https://huggingface.co/llmfan46/Qwen3.6-27B-uncensored-heretic-v2) Heretic base. Same teacher (Fable 5), same dataset family, smaller memory footprint, no MoE quirks. (The older `FoolDev/Thanatos-27B` and `Thanatos-27B-Heretic` slugs now 307 to this path.) |
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