Text Generation
Transformers
Safetensors
MLX
granite
granite-4.2
reasoning
thinking
tool-calling
ibm
conversational
6-bit
Instructions to use lmstudio-community/granite-4.2-30b-MLX-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lmstudio-community/granite-4.2-30b-MLX-6bit") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("lmstudio-community/granite-4.2-30b-MLX-6bit") model = AutoModelForCausalLM.from_pretrained("lmstudio-community/granite-4.2-30b-MLX-6bit", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - MLX
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("lmstudio-community/granite-4.2-30b-MLX-6bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- vLLM
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmstudio-community/granite-4.2-30b-MLX-6bit" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/granite-4.2-30b-MLX-6bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lmstudio-community/granite-4.2-30b-MLX-6bit
- SGLang
How to use lmstudio-community/granite-4.2-30b-MLX-6bit 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 "lmstudio-community/granite-4.2-30b-MLX-6bit" \ --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": "lmstudio-community/granite-4.2-30b-MLX-6bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "lmstudio-community/granite-4.2-30b-MLX-6bit" \ --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": "lmstudio-community/granite-4.2-30b-MLX-6bit", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Pi
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lmstudio-community/granite-4.2-30b-MLX-6bit"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "lmstudio-community/granite-4.2-30b-MLX-6bit" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "lmstudio-community/granite-4.2-30b-MLX-6bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "lmstudio-community/granite-4.2-30b-MLX-6bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/granite-4.2-30b-MLX-6bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Docker Model Runner
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with Docker Model Runner:
docker model run hf.co/lmstudio-community/granite-4.2-30b-MLX-6bit
- Hermes Agent
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lmstudio-community/granite-4.2-30b-MLX-6bit"
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 lmstudio-community/granite-4.2-30b-MLX-6bit
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use lmstudio-community/granite-4.2-30b-MLX-6bit with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "lmstudio-community/granite-4.2-30b-MLX-6bit"
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 "lmstudio-community/granite-4.2-30b-MLX-6bit" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
| {%- macro tool_to_json(tool) -%} | |
| {%- set ns_tool = namespace(first=true) -%} | |
| {{- '{' -}} | |
| {%- for k, v in tool.items() -%} | |
| {%- if k != 'defer_loading' and k != 'strict' -%} | |
| {%- if not ns_tool.first -%}{{- ', ' -}}{%- endif -%} | |
| {%- set ns_tool.first = false -%} | |
| {{- '"' ~ k ~ '": ' ~ (v | tojson(ensure_ascii=False)) -}} | |
| {%- endif -%} | |
| {%- endfor -%} | |
| {{- '}' -}} | |
| {%- endmacro -%} | |
| {%- set enable_thinking = enable_thinking if enable_thinking is defined else True %} | |
| {%- set low_effort = low_effort if low_effort is defined else False %} | |
| {%- if reasoning_effort is defined and reasoning_effort is not none %} | |
| {%- set low_effort = reasoning_effort == "low" %} | |
| {%- endif %} | |
| {%- set truncate_history_thinking = truncate_history_thinking if truncate_history_thinking is defined else True %} | |
| {%- set ns = namespace(last_user_idx = -1) %} | |
| {%- set loop_messages = messages %} | |
| {%- for m in loop_messages %} | |
| {%- if m["role"] == "user" %} | |
| {%- set ns.last_user_idx = loop.index0 %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if messages[0]["role"] == "system" %} | |
| {%- set system_message = messages[0]["content"] %} | |
| {%- set loop_messages = messages[1:] %} | |
| {%- else %} | |
| {%- set system_message = "" %} | |
| {%- set loop_messages = messages %} | |
| {%- endif %} | |
| {%- if not tools is defined %} | |
| {%- set tools = [] %} | |
| {%- endif %} | |
| {# Recompute last_user_idx relative to loop_messages after handling system #} | |
| {%- set ns = namespace(last_user_idx = -1) %} | |
| {%- for m in loop_messages %} | |
| {%- if m["role"] == "user" %} | |
| {%- set ns.last_user_idx = loop.index0 %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if system_message is defined %} | |
| {{- "<|im_start|>system\n" + system_message }} | |
| {%- else %} | |
| {%- if tools is iterable and tools | length > 0 %} | |
| {{- "<|im_start|>system\n" }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if tools is iterable and tools | length > 0 %} | |
| {%- if system_message is defined and system_message | length > 0 %} | |
| {{- "\n\n" }} | |
| {%- endif %} | |
| {{- "# Tools\n\nYou have access to the following functions:\n\n" }} | |
| {{- "<tools>" }} | |
| {%- for tool in tools %} | |
| {%- if tool.function is defined %} | |
| {%- set tool = tool.function %} | |
| {%- endif %} | |
| {%- if tool.defer_loading is not defined or not tool.defer_loading %} | |
| {{- '\n' ~ tool_to_json(tool) }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {{- "\n</tools>" }} | |
| {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }} | |
| {%- endif %} | |
| {%- if system_message is defined %} | |
| {{- '<|im_end|>\n' }} | |
| {%- else %} | |
| {%- if tools is iterable and tools | length > 0 %} | |
| {{- '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- for message in loop_messages %} | |
| {%- if message.role == "assistant" %} | |
| {# Add reasoning content in to content field for unified processing below. #} | |
| {%- if message.reasoning_content is defined and message.reasoning_content is string and message.reasoning_content | trim | length > 0 %} | |
| {%- set content = "<think>\n" ~ message.reasoning_content ~ "\n</think>\n" ~ (message.content | default('', true)) %} | |
| {%- else %} | |
| {%- set content = message.content | default('', true) %} | |
| {%- if content is string -%} | |
| {# Allow downstream logic to to take care of broken thought, only handle coherent reasoning here. #} | |
| {%- if '<think>' not in content and '</think>' not in content -%} | |
| {%- set content = "<think></think>" ~ content -%} | |
| {%- endif -%} | |
| {%- else -%} | |
| {%- set content = content -%} | |
| {%- endif -%} | |
| {%- endif %} | |
| {%- if message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %} | |
| {# Assistant message has tool calls. #} | |
| {{- '<|im_start|>assistant\n' }} | |
| {%- set include_content = not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %} | |
| {%- if content is string and content | trim | length > 0 %} | |
| {%- if include_content %} | |
| {{- (content | trim) ~ '\n' -}} | |
| {%- else %} | |
| {%- set c = (content | string) %} | |
| {%- if '</think>' in c %} | |
| {# Keep only content after the last closing think. Also generation prompt causes this. #} | |
| {%- set c = c.split('</think>')[-1] %} | |
| {%- elif '<think>' in c %} | |
| {# If <think> was opened but never closed, drop the trailing think segment #} | |
| {%- set c = c.split('<think>')[0] %} | |
| {%- endif %} | |
| {%- set c = "<think></think>" ~ c | trim %} | |
| {%- if c | length > 0 %} | |
| {{- c ~ '\n' -}} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- else %} | |
| {{- "<think></think>" -}} | |
| {%- endif %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- if tool_call.function is defined %} | |
| {%- set tool_call = tool_call.function %} | |
| {%- endif %} | |
| {{- '<tool_call>\n<function=' ~ tool_call.name ~ '>\n' -}} | |
| {%- if tool_call.arguments is defined %} | |
| {%- for args_name, args_value in tool_call.arguments|items %} | |
| {{- '<parameter=' ~ args_name ~ '>\n' -}} | |
| {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %} | |
| {{- args_value ~ '\n</parameter>\n' -}} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{- '</function>\n</tool_call>\n' -}} | |
| {%- endfor %} | |
| {{- '<|im_end|>\n' }} | |
| {%- else %} | |
| {# Assistant message doesn't have tool calls. #} | |
| {%- if not (truncate_history_thinking and loop.index0 < ns.last_user_idx) %} | |
| {{- '<|im_start|>assistant\n' ~ (content | default('', true) | string | trim) ~ '<|im_end|>\n' }} | |
| {%- else %} | |
| {%- set c = (content | default('', true) | string) %} | |
| {%- if '<think>' in c and '</think>' in c %} | |
| {%- set c = "<think></think>" ~ c.split('</think>')[-1] %} | |
| {%- endif %} | |
| {%- set c = c | trim %} | |
| {%- if c | length > 0 %} | |
| {{- '<|im_start|>assistant\n' ~ c ~ '<|im_end|>\n' }} | |
| {%- else %} | |
| {{- '<|im_start|>assistant\n<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- elif message.role == "user" or message.role == "system" %} | |
| {{- '<|im_start|>' + message.role + '\n' }} | |
| {%- set content = message.content | string %} | |
| {%- if message.role == "user" and loop.index0 == ns.last_user_idx and low_effort %} | |
| {{- content + '\n\n{reasoning effort: low}' }} | |
| {%- else %} | |
| {{- content }} | |
| {%- endif %} | |
| {{- '<|im_end|>\n' }} | |
| {%- elif message.role == "tool" %} | |
| {%- if loop.previtem and loop.previtem.role != "tool" %} | |
| {{- '<|im_start|>user\n' }} | |
| {%- endif %} | |
| {{- '<tool_response>\n' }} | |
| {{- message.content }} | |
| {{- '\n</tool_response>\n' }} | |
| {%- if not loop.last and loop.nextitem.role != "tool" %} | |
| {{- '<|im_end|>\n' }} | |
| {%- elif loop.last %} | |
| {{- '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- else %} | |
| {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {%- if enable_thinking %} | |
| {{- '<|im_start|>assistant\n<think>\n' }} | |
| {%- else %} | |
| {{- '<|im_start|>assistant\n<think></think>' }} | |
| {%- endif %} | |
| {%- endif %} | |