Text Generation
MLX
Safetensors
granite
finetune
unsloth
granite-4.1
reasoning
thinking
mxfp8
mergekit
Merge
conversational
8-bit precision
Instructions to use nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx 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("nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx") 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
- LM Studio
- Unsloth Studio new
How to use nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx 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 nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx 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 nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx", max_seq_length=2048, ) - Pi new
How to use nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx 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 "nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx"
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 nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx
Run Hermes
hermes
- MLX LM
How to use nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nightmedia/granite-4.1-30b-Claude-X2B-Thinking-mxfp8-mlx", "messages": [ {"role": "user", "content": "Hello"} ] }'
| {%- set tools_system_message_prefix = 'You are a helpful assistant with access to the following tools. You may call one or more tools to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>' %} | |
| {%- set tools_system_message_suffix = '\n</tools>\n\nFor each tool 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>. If a tool does not exist in the provided list of tools, notify the user that you do not have the ability to fulfill the request.' %} | |
| {%- set documents_system_message_prefix = 'You are a helpful assistant with access to the following documents. You may use one or more documents to assist with the user query.\n\nYou are given a list of documents within <documents></documents> XML tags:\n<documents>' %} | |
| {%- set documents_system_message_suffix = '\n</documents>\n\nWrite the response to the user\'s input by strictly aligning with the facts in the provided documents. If the information needed to answer the question is not available in the documents, inform the user that the question cannot be answered based on the available data.' %} | |
| {%- if available_tools is defined and available_tools %} | |
| {%- set tools = available_tools %} | |
| {%- endif %} | |
| {%- set ns = namespace(tools_system_message=tools_system_message_prefix, | |
| documents_system_message=documents_system_message_prefix, | |
| system_message='' | |
| ) %} | |
| {%- if tools %} | |
| {%- for tool in tools %} | |
| {%- set ns.tools_system_message = ns.tools_system_message + '\n' + (tool | tojson) %} | |
| {%- endfor %} | |
| {%- set ns.tools_system_message = ns.tools_system_message + tools_system_message_suffix %} | |
| {%- else %} | |
| {%- set ns.tools_system_message = '' %} | |
| {%- endif %} | |
| {%- if documents %} | |
| {%- for document in documents %} | |
| {%- set ns.documents_system_message = ns.documents_system_message + '\n' + (document | tojson) %} | |
| {%- endfor %} | |
| {%- set ns.documents_system_message = ns.documents_system_message + documents_system_message_suffix %} | |
| {%- else %} | |
| {%- set ns.documents_system_message = '' %} | |
| {%- endif %} | |
| {%- if messages[0].role == 'system' %} | |
| {%- if messages[0].content is string %} | |
| {%- set ns.system_message = messages[0].content %} | |
| {%- elif messages[0].content is iterable %} | |
| {%- for entry in messages[0].content %} | |
| {%- if entry.type== 'text' %} | |
| {%- if ns.system_message != '' %} | |
| {%- set ns.system_message = ns.system_message + '\n' %} | |
| {%- endif %} | |
| {%- set ns.system_message = ns.system_message + entry.text %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- if tools and documents %} | |
| {%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message + '\n\n' + ns.documents_system_message %} | |
| {%- elif tools %} | |
| {%- set ns.system_message = ns.system_message + '\n\n' + ns.tools_system_message %} | |
| {%- elif documents %} | |
| {%- set ns.system_message = ns.system_message + '\n\n' + ns.documents_system_message %} | |
| {%- endif %} | |
| {%- else %} | |
| {%- if tools and documents %} | |
| {%- set ns.system_message = ns.tools_system_message + '\n\n' + ns.documents_system_message %} | |
| {%- elif tools %} | |
| {%- set ns.system_message = ns.tools_system_message %} | |
| {%- elif documents %} | |
| {%- set ns.system_message = ns.documents_system_message %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if ns.system_message %} | |
| {{- '<|start_of_role|>system<|end_of_role|>' + ns.system_message + '<|end_of_text|>\n' }} | |
| {%- endif %} | |
| {%- for message in messages %} | |
| {%- set content = namespace(val='') %} | |
| {%- if message.content is string %} | |
| {%- set content.val = message.content %} | |
| {%- else %} | |
| {%- if message.content is iterable %} | |
| {%- for entry in message.content %} | |
| {%- if entry.type== 'text' %} | |
| {%- if content.val != '' %} | |
| {%- set content.val = content.val + '\n' %} | |
| {%- endif %} | |
| {%- set content.val = content.val + entry.text %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- if (message.role == 'user') or (message.role == 'system' and not loop.first) %} | |
| {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val + '<|end_of_text|>\n' }} | |
| {%- elif message.role == 'assistant' %} | |
| {{- '<|start_of_role|>' + message.role + '<|end_of_role|>' + content.val }} | |
| {%- if message.tool_calls %} | |
| {%- for tool_call in message.tool_calls %} | |
| {%- if (loop.first and content.val) or (not loop.first) %} | |
| {{- '\n' }} | |
| {%- endif %} | |
| {%- if tool_call.function %} | |
| {%- set tool_call = tool_call.function %} | |
| {%- endif %} | |
| {{- '<tool_call>\n{"name": "' }} | |
| {{- tool_call.name }} | |
| {{- '", "arguments": ' }} | |
| {%- if tool_call.arguments is string %} | |
| {{- tool_call.arguments }} | |
| {%- else %} | |
| {{- tool_call.arguments | tojson }} | |
| {%- endif %} | |
| {{- '}\n</tool_call>' }} | |
| {%- endfor %} | |
| {%- endif %} | |
| {{- '<|end_of_text|>\n' }} | |
| {%- elif message.role == 'tool' %} | |
| {%- if loop.first or (messages[loop.index0 - 1].role != 'tool') %} | |
| {{- '<|start_of_role|>user<|end_of_role|>' }} | |
| {%- endif %} | |
| {{- '\n<tool_response>\n' }} | |
| {{- content.val }} | |
| {{- '\n</tool_response>' }} | |
| {%- if loop.last or (messages[loop.index0 + 1].role != 'tool') %} | |
| {{- '<|end_of_text|>\n' }} | |
| {%- endif %} | |
| {%- endif %} | |
| {%- endfor %} | |
| {%- if add_generation_prompt %} | |
| {{- '<|start_of_role|>assistant<|end_of_role|>' }} | |
| {%- endif %} |