Instructions to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw 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("finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw") 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) - Transformers
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, LongcatCausalLM tokenizer = AutoTokenizer.from_pretrained("finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", trust_remote_code=True) model = LongcatCausalLM.from_pretrained("finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", trust_remote_code=True, 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- vLLM
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw
- SGLang
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw 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 "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw" \ --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": "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", "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 "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw" \ --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": "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Pi
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw"
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": "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw", "messages": [ {"role": "user", "content": "Hello"} ] }' - Docker Model Runner
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with Docker Model Runner:
docker model run hf.co/finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw
- Hermes Agent
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw 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 "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw"
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 finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw"
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 "finding1/LongCat-Flash-Thinking-2601-MLX-5.5bpw" \ --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: 7,597 Bytes
d9d698f | 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 | {%- set tool_choice = tool_choice | default('auto') %}
{%- set enable_thinking = enable_thinking | default(none) %}
{%- set save_history_reasoning_content = save_history_reasoning_content | default(false) %}
{%- set ns = namespace(tool_types = [], last_query_index = -1) %}
{%- for idx in range(messages|length - 1) %}
{%- set msg = messages[idx] %}
{%- if msg.role == 'assistant' and not msg.tool_calls %}
{%- set ns.last_query_index = idx %}
{%- endif %}
{%- endfor %}
{%- if tools and tool_choice != 'none' %}
{{- "<longcat_tool_declare>\n"-}}
{{- "# Tools\n" }}
{{- "You have access to the following tools:\n\n" }}
{%- for tool in tools %}
{%- if tool.type not in ns.tool_types %}
{%- set ns.tool_types = ns.tool_types + [tool.type] %}
{{- "## Tool namespace: " ~ tool.type ~ "\n\n" }}
{%- endif %}
{%- if tool.type == 'code_interpreter' %}
{%- set tool = {"type":"code_interpreter","function":{"name":"code_interpreter_preview","description":"The code will be executed in a stateful Jupyter notebook sandbox environment, only supports local computation, data processing, and file operations.\nCode sandbox environment (network isolated) Any external network requests or online API calls are prohibited.\nIf online functionality is needed, please use other permitted tools.\nCode will respond with the output of the execution or time out after 60.0 seconds. ","parameters":{"type":"object","properties":{"language":{"type":"string","description":"The programming language of the code to be executed. Available values: python (Default), java, go, js, ts, c, c++."},"code":{"type":"string","description":"Python code to be executed must not include the following:\n- Importing network libraries such as requests, httplib, etc.\n- Any form of HTTP requests.\n- External API calls.\n- Network port operations. Example: ```python\nimport pandas as pd\npd.DataFrame({'A':[1,2]})\n```"},"timeout":{"type":"number","description":"The maximum execution time of the code, in seconds. Default is 60.0."}}},"required":["code"]}} %}
{%- endif %}
{{- "### Tool name: " + tool.function.name + "\n" }}
{{- "Description: " + tool.function.description + "\n\n" }}
{{- "InputSchema: " + tool.function.parameters | tojson(ensure_ascii=False) + "\n\n" }}
{%- endfor %}
{{- '**Note**: For each function call, output the function name and arguments within the following XML format:\n<longcat_tool_call>{function-name}\n<longcat_arg_key>{arg-key-1}</longcat_arg_key>\n<longcat_arg_value>{arg-value-1}</longcat_arg_value>\n<longcat_arg_key>{arg-key-2}</longcat_arg_key>\n<longcat_arg_value>{arg-value-2}</longcat_arg_value>\n...\n</longcat_tool_call>\n' }}
{{- "</longcat_tool_declare>"-}}
{%- endif %}
{%- for msg in messages %}
{%- if msg.role == "system" %}
{{- "<longcat_system>" + msg.content }}
{%- elif msg.role == "user" %}
{{- "<longcat_user>" }}
{%- if msg["files"] %}
{{- '<longcat_files>\n' ~ msg.files | tojson(indent=2) ~ '\n</longcat_files>' }}
{%- endif %}
{{- msg.content }}
{%- if save_history_reasoning_content and enable_thinking is not none %}
{%- if loop.index0 == messages|length - 1 %}
{# pass #}
{%- else %}
{%- if enable_thinking == true %}
{{- " /think_on" }}
{%- if thinking_budget %}
{%- if thinking_budget < 1024 %}
{%- set thinking_budget = 1024 %}
{%- endif %}
{{- "\nthinking_budget: < " ~ thinking_budget ~ "." }}
{%- endif %}
{{- " " }}
{%- elif enable_thinking == false %}
{{- " /think_off " }}
{%- endif %}
{%- endif %}
{%- elif loop.index0 > ns.last_query_index and enable_thinking is not none %}
{%- if loop.index0 == messages|length - 1 %}
{# pass #}
{%- else %}
{%- if enable_thinking == true %}
{{- " /think_on" }}
{%- if thinking_budget %}
{%- if thinking_budget < 1024 %}
{%- set thinking_budget = 1024 %}
{%- endif %}
{{- "\nthinking_budget: < " ~ thinking_budget ~ "." }}
{%- endif %}
{{- " " }}
{%- elif enable_thinking == false %}
{{- " /think_off " }}
{%- endif %}
{%- endif %}
{%- endif %}
{%- elif msg.role == "assistant" %}
{{- "<longcat_assistant>" }}
{%- if save_history_reasoning_content == true or loop.index0 > ns.last_query_index %}
{%- if enable_thinking == true and msg.reasoning_content%}
{{- "<longcat_think>\n" ~ msg.reasoning_content ~ "\n</longcat_think>\n" }}
{%- elif enable_thinking == false %}
{{- "<longcat_think>\n\n</longcat_think>\n" }}
{%- endif %}
{%- endif %}
{%- if msg.content %}
{{- msg.content }}
{%- endif %}
{%- if msg.tool_calls %}
{%- for tool_call in msg.tool_calls -%}
{{- "<longcat_tool_call>" ~ tool_call.function.name ~ "\n" -}}
{% set _args = tool_call.function.arguments %}
{% for k, v in _args.items() %}
{{- "<longcat_arg_key>" ~ k ~ "</longcat_arg_key>\n" -}}
{{- "<longcat_arg_value>" ~ (v if v is string else v | tojson(ensure_ascii=False)) ~ "</longcat_arg_value>\n" -}}
{% endfor %}
{{- "</longcat_tool_call>\n" }}
{%- endfor %}
{%- endif %}
{{- "</longcat_s>" -}}
{%- elif msg.role == "tool" %}
{%- if messages[loop.index0 - 1].role != "tool" %}
{{- "<longcat_observation>" -}}
{%- endif %}
{{- "<longcat_tool_response>" ~ msg.name ~ "\n" ~ msg.content ~ "</longcat_tool_response>"-}}
{%- if loop.index0 == messages|length - 1 %}
{# pass #}
{%- elif save_history_reasoning_content or loop.index0 > ns.last_query_index %}
{%- if enable_thinking == true and messages[loop.index0 + 1].role != "tool" %}
{{- " /think_on" }}
{%- if thinking_budget %}
{%- if thinking_budget < 1024 %}
{%- set thinking_budget = 1024 %}
{%- endif %}
{{- "\nthinking_budget: < " ~ thinking_budget ~ "." }}
{%- endif %}
{{- " " }}
{%- elif enable_thinking == false %}
{{- " /think_off " }}
{%- endif %}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{%- if enable_thinking == true %}
{{- " /think_on" }}
{%- if thinking_budget %}
{%- if thinking_budget < 1024 %}
{%- set thinking_budget = 1024 %}
{%- endif %}
{{- "\nthinking_budget: < " ~ thinking_budget ~ "." }}
{%- endif %}
{{- " <longcat_assistant><longcat_think>\n" }}
{%- elif enable_thinking == false %}
{{- " /think_off <longcat_assistant><longcat_think>\n\n</longcat_think>\n" }}
{%- else %}
{{- "<longcat_assistant>" }}
{%- endif %}
{%- endif %} |