Image-Text-to-Text
Safetensors
GGUF
English
Chinese
minicpmv4_6
multimodal
vision
abliterated
uncensored
qwen3.5
minicpm
Mixture of Experts
vision-language
conversational
computer-use
ui-grounding
Instructions to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="jduartedj/MiniCPM-V-4.6-35B-Abliterated", filename="ggml-model-Q4_K_M.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M # Run inference directly in the terminal: llama-cli -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M # Run inference directly in the terminal: llama-cli -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated: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 jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated: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 jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
Use Docker
docker model run hf.co/jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jduartedj/MiniCPM-V-4.6-35B-Abliterated" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jduartedj/MiniCPM-V-4.6-35B-Abliterated", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
- Ollama
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with Ollama:
ollama run hf.co/jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
- Unsloth Studio
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated 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 jduartedj/MiniCPM-V-4.6-35B-Abliterated 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 jduartedj/MiniCPM-V-4.6-35B-Abliterated to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for jduartedj/MiniCPM-V-4.6-35B-Abliterated to start chatting
- Pi
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf jduartedj/MiniCPM-V-4.6-35B-Abliterated: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 jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with Docker Model Runner:
docker model run hf.co/jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
- Lemonade
How to use jduartedj/MiniCPM-V-4.6-35B-Abliterated with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull jduartedj/MiniCPM-V-4.6-35B-Abliterated:Q4_K_M
Run and chat with the model
lemonade run user.MiniCPM-V-4.6-35B-Abliterated-Q4_K_M
List all available models
lemonade list
File size: 7,301 Bytes
8f5238b | 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 | {%- if enable_thinking is not defined -%}
{%- set enable_thinking = false -%}
{%- endif -%}
{%- macro render_content(content, is_system_content=false) -%}
{%- if content is string -%}
{{- content -}}
{%- elif content is iterable and content is not mapping -%}
{%- set ns = namespace(parts=[]) -%}
{%- for item in content -%}
{%- if 'image' in item or 'image_url' in item or item.type == 'image' -%}
{%- if is_system_content -%}
{{- raise_exception('System message cannot contain images.') -}}
{%- endif -%}
{%- set ns.parts = ns.parts + ['<|image_pad|>'] -%}
{%- elif 'video' in item or item.type == 'video' -%}
{%- if is_system_content -%}
{{- raise_exception('System message cannot contain videos.') -}}
{%- endif -%}
{%- set ns.parts = ns.parts + ['<|video_pad|>'] -%}
{%- elif 'text' in item -%}
{%- set ns.parts = ns.parts + [item.text] -%}
{%- else -%}
{{- raise_exception('Unexpected item type in content.') -}}
{%- endif -%}
{%- endfor -%}
{{- ns.parts | join('\n') -}}
{%- elif content is none or content is undefined -%}
{{- '' -}}
{%- else -%}
{{- raise_exception('Unexpected content type.') -}}
{%- endif -%}
{%- endmacro -%}
{%- if not messages %}
{{- raise_exception('No messages provided.') }}
{%- endif %}
{%- if tools and tools is iterable and tools is not mapping %}
{{- '<|im_start|>system\n' }}
{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- 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>' }}
{%- if messages[0].role == 'system' %}
{%- set content = render_content(messages[0].content, true)|trim %}
{%- if content %}
{{- '\n\n' + content }}
{%- endif %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- else %}
{%- if messages[0].role == 'system' %}
{%- set content = render_content(messages[0].content, true)|trim %}
{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
{%- set index = (messages|length - 1) - loop.index0 %}
{%- if ns.multi_step_tool and message.role == "user" %}
{%- set content = render_content(message.content)|trim %}
{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
{%- set ns.multi_step_tool = false %}
{%- set ns.last_query_index = index %}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if ns.multi_step_tool %}
{{- raise_exception('No user query found in messages.') }}
{%- endif %}
{%- for message in messages %}
{%- set content = render_content(message.content)|trim %}
{%- if message.role == "system" %}
{%- if not loop.first %}
{{- raise_exception('System message must be at the beginning.') }}
{%- endif %}
{%- elif message.role == "user" %}
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{%- set reasoning_content = '' %}
{%- if message.reasoning_content is string %}
{%- set reasoning_content = message.reasoning_content %}
{%- else %}
{%- if '</think>' in content %}
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
{%- endif %}
{%- endif %}
{%- set reasoning_content = reasoning_content|trim %}
{%- if loop.index0 > ns.last_query_index %}
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
{%- else %}
{{- '<|im_start|>' + message.role + '\n' + content }}
{%- endif %}
{%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{%- if loop.first %}
{%- if content|trim %}
{{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
{%- else %}
{{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
{%- endif %}
{%- else %}
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
{%- endif %}
{%- 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>' }}
{%- endfor %}
{%- endif %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if loop.previtem and loop.previtem.role != "tool" %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- content }}
{{- '\n</tool_response>' }}
{%- if not loop.last and loop.nextitem.role != "tool" %}
{{- '<|im_end|>\n' }}
{%- elif loop.last %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- else %}
{{- raise_exception('Unexpected message role.') }}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '<think>\n\n</think>\n\n' }}
{%- else %}
{{- '<think>\n' }}
{%- endif %}
{%- endif %}
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