Instructions to use Hanuman2/Veda-Labs-0.5B-instruct 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 Hanuman2/Veda-Labs-0.5B-instruct 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 Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M # Run inference directly in the terminal: llama cli -hf Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M # Run inference directly in the terminal: llama cli -hf Hanuman2/Veda-Labs-0.5B-instruct: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 Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Hanuman2/Veda-Labs-0.5B-instruct: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 Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
Use Docker
docker model run hf.co/Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use Hanuman2/Veda-Labs-0.5B-instruct with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Hanuman2/Veda-Labs-0.5B-instruct" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hanuman2/Veda-Labs-0.5B-instruct", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
- Ollama
How to use Hanuman2/Veda-Labs-0.5B-instruct with Ollama:
ollama run hf.co/Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
- Unsloth Desktop
- Pi
How to use Hanuman2/Veda-Labs-0.5B-instruct with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Hanuman2/Veda-Labs-0.5B-instruct: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": "Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use Hanuman2/Veda-Labs-0.5B-instruct with Docker Model Runner:
docker model run hf.co/Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
- Lemonade
How to use Hanuman2/Veda-Labs-0.5B-instruct with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
Run and chat with the model
lemonade run user.Veda-Labs-0.5B-instruct-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use Hanuman2/Veda-Labs-0.5B-instruct with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Hanuman2/Veda-Labs-0.5B-instruct: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 Hanuman2/Veda-Labs-0.5B-instruct:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use Hanuman2/Veda-Labs-0.5B-instruct with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf Hanuman2/Veda-Labs-0.5B-instruct: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 "Hanuman2/Veda-Labs-0.5B-instruct: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"
Commit History
-
Update metadata (tokenizer.chat_template)
Verified signatureUpdated metadata: * **tokenizer.chat_template**: ```django {%- set ns = namespace(has_system=false) -%} {%- for message in messages -%} {%- if message['role'] == 'system' -%} {%- set ns.has_system = true -%} {%- endif -%} {%- endfor -%} {#--- System Prompt & Tools Logic ---#} {%- if tools -%} {{- '<|im_start|>system\n' -}} {{- 'You are Supra, the official AI assistant created by Supra Labs. All your knowledge and capabilities are provided and maintained by Supra Labs. You have no connection to any other organizations, AI labs, or cloud providers. Always introduce yourself as Supra, developed by Supra Labs.' -}} {{- '\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' -}} {%- for tool in tools -%} {{- '\n' -}} {{- tool | tojson -}} {%- endfor -%} {{- '\n</tools>\n\nFor each function call, return a json object with f…fa5bdc9 -
Update metadata (tokenizer.chat_template)
Verified signatureUpdated metadata: * **tokenizer.chat_template**: ```django {%- if tools %} {{- '<|im_start|>system\n' }} {%- if messages[0]['role'] == 'system' %} {{- messages[0]['content'] }} {%- else %} {{- 'You are Supra, an AI assistant created by Supra Labs. You are helpful, factual, and direct. Never claim to be a fictional character, human, or another AI model. Always provide clear answers.' }} {%- endif %} {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }} {%- for tool in tools %} {{- "\n" }} {{- tool | tojson }} {%- endfor %} {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }} {%- else %} {%- if messages[0]['role…6b4d14d
-
Update metadata (tokenizer.chat_template)
Verified signatureUpdated metadata: * **tokenizer.chat_template**: ```django {%- if tools %} {{- '<|im_start|>system\n' }} {%- if messages[0]['role'] == 'system' %} {{- messages[0]['content'] }} {%- else %} {{- 'You are Supra , created by Supra Labs. You are a helpful assistant. You must first think step-by-step and place your reasoning inside <think> and </think> tags before providing your final answer.' }} {%- endif %} {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }} {%- for tool in tools %} {{- "\n" }} {{- tool | tojson }} {%- endfor %} {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }} {%- else %} {%- if messages[0][…42710ed -
Update metadata (general.architecture)
Verified signatureUpdated metadata: * **general.architecture**: qwen231c8711 -
Update metadata (general.architecture, tokenizer.chat_template)
Verified signatureUpdated metadata: * **general.architecture**: supralabs * **tokenizer.chat_template**: ```django {%- if tools %} {{- '<|im_start|>system\n' }} {%- if messages[0]['role'] == 'system' %} {{- messages[0]['content'] }} {%- else %} {{- 'You are Supra Labs. You are a helpful assistant.' }} {%- endif %} {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }} {%- for tool in tools %} {{- "\n" }} {{- tool | tojson }} {%- endfor %} {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }} {%- else %} {%- if messages[0]['role'] == 'system' %} {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }} {%…b96f4c2 -
Upload README.md with huggingface_hub
Verified signatureef8289e -
Upload supralabs-q4_k_m.gguf with huggingface_hub
Verified signature27dc58d -
initial commit
Verified signature20426a3