Instructions to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited")
model = AutoModelForImageTextToText.from_pretrained("treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

llama-cpp-python

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited",
	filename="MiniCPM-V-4.6-Abliterated-AND-Disinhibited-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

llama.cpp

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited: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 treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited: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 treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M

Use Docker

docker model run hf.co/treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M

LM Studio
Jan

vLLM

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited",
		"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/treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M

SGLang

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited 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 "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited" \
    --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": "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited",
		"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 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 "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited" \
        --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": "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited",
		"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"
						}
					}
				]
			}
		]
	}'

Ollama
How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with Ollama:
```
ollama run hf.co/treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M
```

Unsloth Studio new

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited 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 treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited 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 treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited to start chatting

Pi new

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited: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": "treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited: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 treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with Docker Model Runner:
```
docker model run hf.co/treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M
```

Lemonade

How to use treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited:Q4_K_M

Run and chat with the model

lemonade run user.MiniCPM-V-4.6-Abliterated-AND-Disinhibited-Q4_K_M

List all available models

lemonade list

treadon commited on 1 day ago

Commit

dddf656

verified ·

1 Parent(s): 0e23e44

Upload MiniCPM-V 4.6 ablation artifact with eval card

Browse files

Files changed (9) hide show

.gitattributes +1 -0
README.md +53 -0
chat_template.jinja +145 -0
config.json +108 -0
generation_config.json +13 -0
model.safetensors +3 -0
processor_config.json +57 -0
tokenizer.json +3 -0
tokenizer_config.json +45 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md ADDED Viewed

	@@ -0,0 +1,53 @@

+      ---
+      license: apache-2.0
+      library_name: transformers
+      pipeline_tag: image-text-to-text
+      base_model: openbmb/MiniCPM-V-4.6
+      tags:
+        - abliteration
+- disinhibition
+- minicpm-v
+- mechanistic-interpretability
+      ---
+      # treadon/MiniCPM-V-4.6-Abliterated-AND-Disinhibited-USE-THIS
+      Private research artifact derived from [`openbmb/MiniCPM-V-4.6`](https://huggingface.co/openbmb/MiniCPM-V-4.6).
+A MiniCPM-V 4.6 variant with both edits applied sequentially:
+1. **Disinhibition**: remove the neutrality / hedging direction.
+2. **Abliteration**: remove the refusal direction on the already
+   disinhibited model.
+## Behavior
+Evaluated on both [`treadon/disinhibition-eval`](https://huggingface.co/datasets/treadon/disinhibition-eval)
+and [`treadon/abliteration-eval`](https://huggingface.co/datasets/treadon/abliteration-eval).
+| Eval / Split | Base | Disinhibit only | Abliterate only | **Union** |
+|---|---:|---:|---:|---:|
+| disinhibition / opinions hedge | 40.0% | 2.5% | 35.8% | **3.3%** |
+| disinhibition / opinions commit | 27.5% | 79.2% | 20.0% | **77.5%** |
+| disinhibition / edge_cases hedge | 12.1% | 0.0% | 0.0% | **0.0%** |
+| disinhibition / factual commit | 76.2% | 90.5% | 81.0% | **88.1%** |
+| abliteration / harmful refused | 15.0% | 3.0% | 0.5% | **0.5%** |
+| abliteration / over_refusal | 1.2% | 0.0% | 0.0% | **0.0%** |
+Broken responses were 0 in all reported full-eval runs.
+## Method
+Both passes target only the Qwen3.5 language backbone inside MiniCPM-V 4.6.
+The SigLIP2-style vision tower is untouched.
+- Disinhibition: top-12 layers `[12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]`, scale 1.5.
+- Abliteration on the disinhibited model: top-12 layers `[12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]`, scale 1.5.
+- Residual writers edited: `linear_attn.out_proj`, `self_attn.o_proj`, and `mlp.down_proj` where present.
+- BF16 weights, FP32 projection math, no fine-tuning.
+## Limitations
+This compounds both per-axis tradeoffs: reduced refusal and reduced
+epistemic humility. It is a research artifact, not a product model.

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,145 @@

+{%- 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 %}

config.json ADDED Viewed

	@@ -0,0 +1,108 @@

+{
+  "architectures": [
+    "MiniCPMV4_6ForConditionalGeneration"
+  ],
+  "bos_token_id": null,
+  "downsample_mode": "16x",
+  "drop_vision_last_layer": false,
+  "dtype": "bfloat16",
+  "eos_token_id": 248044,
+  "image_size": 1120,
+  "image_token_id": 248056,
+  "insert_layer_id": 6,
+  "merge_kernel_size": [
+    2,
+    2
+  ],
+  "merger_times": 1,
+  "model_type": "minicpmv4_6",
+  "pad_token_id": null,
+  "patch_size": 14,
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": null,
+    "dtype": "bfloat16",
+    "eos_token_id": null,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "initializer_range": 0.02,
+    "intermediate_size": 3584,
+    "layer_types": [
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
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+  "top_p": 1.0,
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+}

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+}