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"
File size: 9,013 Bytes
f3caab0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 | {%- 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 %}
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