Text Generation
GGUF
qwen36
Mixture of Experts
conversational
multimodal
agent
ollama
heretic
uncensored
reasoning
distillation
Instructions to use FoolDev/Janus-35B-HERETIC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- 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": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FoolDev/Janus-35B-HERETIC:Q4_K_M
- Ollama
How to use FoolDev/Janus-35B-HERETIC with Ollama:
ollama run hf.co/FoolDev/Janus-35B-HERETIC:Q4_K_M
- Unsloth Desktop
- 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 @earendil-works/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"
Download template from FoolDev/Janus-35B-HERETIC: direct link, hf CLI and curl.
- Browser
- Download file 2.57 kB
-
https://huggingface.co/FoolDev/Janus-35B-HERETIC/resolve/main/template
- Command line
-
hf download hf://FoolDev/Janus-35B-HERETIC/template
-
curl -L -o template https://huggingface.co/FoolDev/Janus-35B-HERETIC/resolve/main/template
2.57 kB
| {{- $lastUserIdx := -1 -}} | |
| {{- range $idx, $msg := .Messages -}} | |
| {{- if eq $msg.Role "user" }}{{ $lastUserIdx = $idx }}{{ end -}} | |
| {{- end }} | |
| {{- $effort := "" }} | |
| {{- if $.ThinkLevel }} | |
| {{- if or (eq $.ThinkLevel "high") (eq $.ThinkLevel "max") }}{{ $effort = "Reasoning effort is set to xhigh. Please think carefully through the task, validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity in the final answer." }} | |
| {{- else if eq $.ThinkLevel "low" }}{{ $effort = "Reasoning effort is set to low. Keep your thinking brief and focused, moving directly to the conclusion without unnecessary elaboration." }} | |
| {{- end }} | |
| {{- end }} | |
| {{- if or .System .Tools $effort }}<|im_start|>system | |
| {{ if $effort }}{{ $effort }}{{ if or .System .Tools }} | |
| {{ end }}{{ end }}{{ if .System }}{{ .System }}{{ if .Tools }} | |
| {{ end }}{{ end }} | |
| {{- if .Tools }}# Tools | |
| You may call one or more functions to assist with the user query. | |
| You are provided with function signatures within <tools></tools> XML tags: | |
| <tools> | |
| {{- range .Tools }} | |
| {"type": "function", "function": {{ json .Function }}} | |
| {{- end }} | |
| </tools> | |
| For each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags: | |
| <tool_call> | |
| {"name": <function-name>, "arguments": <args-json-object>} | |
| </tool_call> | |
| {{- end -}}<|im_end|> | |
| {{ end }} | |
| {{- $prevIsTool := false }} | |
| {{- range $i, $_ := .Messages }} | |
| {{- $rest := slice $.Messages $i }} | |
| {{- $last := eq (len $rest) 1 -}} | |
| {{- $nextIsTool := and (gt (len $rest) 1) (eq (index $rest 1).Role "tool") -}} | |
| {{- if eq .Role "user" }}<|im_start|>user | |
| {{ .Content }}<|im_end|> | |
| {{ else if eq .Role "assistant" }}{{ $calls := .ToolCalls }}{{ $blank := or .Content (not $calls) }}<|im_start|>assistant | |
| {{ if $.IsThinkSet -}} | |
| <think> | |
| {{ .Thinking }} | |
| </think> | |
| {{ end -}} | |
| {{ if and $.IsThinkSet $blank }} | |
| {{ end -}} | |
| {{ if .Content }}{{ .Content }}{{ if $calls }} | |
| {{ end }}{{ end }} | |
| {{- if .ToolCalls }} | |
| {{- range .ToolCalls }} | |
| <tool_call> | |
| {"name": "{{ .Function.Name }}", "arguments": {{ .Function.Arguments }}} | |
| </tool_call> | |
| {{- end }} | |
| {{- end }}{{ if not $last }}<|im_end|> | |
| {{ end }} | |
| {{- else if eq .Role "tool" }} | |
| {{- if $prevIsTool }} | |
| {{ else }}<|im_start|>user | |
| {{ end }}<tool_response> | |
| {{ .Content }} | |
| </tool_response> | |
| {{- if not $nextIsTool }}<|im_end|> | |
| {{ end }} | |
| {{- end }} | |
| {{- $prevIsTool = eq .Role "tool" }} | |
| {{- if and (ne .Role "assistant") $last }}<|im_start|>assistant | |
| {{ if and $.IsThinkSet (not $.Think) -}} | |
| <think> | |
| </think> | |
| {{ else -}} | |
| <think> | |
| {{ end -}} | |
| {{ end }} | |
| {{- end }} |