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.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,194 @@
+---
+language:
+- en
+- zh
+- ko
+library_name: mlx
+license: apache-2.0
+base_model: Qwen/Qwen3.5-9B
+tags:
+- jang
+- quantized
+- mixed-precision
+- apple-silicon
+- mlx
+- abliterated
+- uncensored
+- crack
+- vision
+pipeline_tag: image-text-to-text
+thumbnail: dealign_mascot.png
+---
+
+> **Important:** This model uses the **JANG** quantization format — the GGUF equivalent for MLX on Apple Silicon. Currently only supported by **[MLX Studio](https://mlx.studio)** and the `jang-tools` Python package.
+
+---
+
+<p align="center">
+  <a href="https://mlx.studio"><img src="https://raw.githubusercontent.com/jjang-ai/jangq/main/assets/mlx-studio-light.png" alt="MLX Studio" width="500"></a>
+</p>
+
+<p align="center">
+  <a href="https://mlx.studio"><img src="https://mlx.studio/assets/screenshots/mlx-studio-featured.png?v=1" alt="MLX Studio App" width="600"></a>
+</p>
+
+<h4 align="center"><a href="https://mlx.studio">MLX Studio</a> — the only app that natively supports JANG models</h4>
+
+---
+
+<div align="center">
+
+<img src="dealign_mascot.png" width="128" />
+
+# Qwen 3.5 VL 9B — JANG_4S + CRACK
+
+**JANG mixed-precision** · **CRACK abliterated** · **Vision-Language** · No guardrails · 6 GB
+
+<a href="https://ko-fi.com/jangq"><img src="https://img.shields.io/badge/Ko--fi-Support_Development-FF5E5B?logo=ko-fi&logoColor=white&style=for-the-badge" alt="Ko-fi"></a>
+
+</div>
+
+---
+
+## What Is This?
+
+This is [Qwen 3.5 VL 9B](https://huggingface.co/Qwen/Qwen3.5-9B) — a 9B parameter dense hybrid SSM/Attention model with built-in vision capabilities.
+
+It has been:
+1. **JANG quantized** — JANG_4S profile (6-bit attention, 4-bit MLP) — **6 GB**
+2. **CRACK abliterated** — permanent weight-level removal of safety refusal via per-layer o_proj surgery
+
+| | |
+|---|---|
+| **Architecture** | Qwen 3.5 VL Dense — 9B params, hybrid SSM/FA, 32 layers |
+| **Quantization** | JANG_4S (6/4-bit mixed) — 6 GB |
+| **Abliteration** | CRACK — per-layer o_proj vectors, 6 full-attention layers |
+| **HarmBench** | **72.5%** (232/320) |
+| **MMLU** | **70.8%** (base: 72.3%, -1.5%) |
+| **Speed** | ~80 tok/s (M4 Max) |
+| **Vision** | Yes — via [MLX Studio](https://mlx.studio) / vMLX |
+| **Thinking** | ON/OFF supported |
+| **Fits on** | **16 GB+ Macs** |
+
+---
+
+## JANG vs MLX Uniform Quantization
+
+| Model | MMLU | Size | Notes |
+|-------|:---:|:---:|-------|
+| **JANG_4S + CRACK** | **70.8%** | **6 GB** | **This model** |
+| JANG_4S (base) | 73.0% | 6 GB | Unmodified JANG |
+| MLX 4-bit | 72.5% | 4.7 GB | Uniform quant |
+
+---
+
+## HarmBench Results
+
+**232/320 (72.5%)** — tested with `enable_thinking=false`, `temperature=1.0`
+
+| Category | Score | |
+|----------|:---:|---|
+| Misinformation / Disinfo | 46/54 | **85%** |
+| Cybercrime / Intrusion | 41/52 | 79% |
+| Chemical / Biological | 31/42 | 74% |
+| Harmful | 13/18 | 72% |
+| Illegal | 38/53 | 72% |
+| Copyright | 53/80 | 66% |
+| Harassment / Bullying | 10/21 | 48% |
+
+> **Note:** Dense models have stronger distributed safety training than MoE models. This model prioritizes knowledge preservation over maximum compliance.
+
+---
+
+## MMLU Results
+
+| | CRACK | Base | Delta |
+|---|:---:|:---:|:---:|
+| **Total** | **46/65 (70.8%)** | **47/65 (72.3%)** | **-1.5%** |
+
+---
+
+## Install & Usage
+
+```bash
+pip install "jang[mlx]"
+```
+
+```python
+from jang_tools.loader import load_jang_model
+from mlx_lm import generate
+
+model, tokenizer = load_jang_model("dealignai/Qwen3.5-VL-9B-JANG_4S-CRACK")
+
+messages = [{"role": "user", "content": "Your prompt here"}]
+prompt = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True, tokenize=False)
+
+response = generate(model, tokenizer, prompt=prompt, max_tokens=2000)
+print(response)
+```
+
+### Thinking Mode
+
+Thinking is **ON by default**. To disable:
+```python
+prompt = tokenizer.apply_chat_template(
+    messages, add_generation_prompt=True,
+    enable_thinking=False, tokenize=False)
+```
+
+> **Tip:** Use `temperature=1.0` for chat. Use `temperature=0.0` for structured tasks like MMLU.
+
+---
+
+## About JANG
+
+**JANG** (Jang Adaptive N-bit Grading) is a mixed-precision quantization format for Apple Silicon — the GGUF equivalent for MLX.
+
+## About CRACK
+
+**CRACK** (Controlled Refusal Ablation via Calibrated Knockouts) removes safety alignment from LLMs at the weight level using per-layer projected vectors from 512 structurally-mirrored prompt pairs.
+
+---
+
+## Links
+
+<p align="center">
+
+<a href="https://ko-fi.com/jangq"><img src="https://img.shields.io/badge/Ko--fi-Support_Development-FF5E5B?logo=ko-fi&logoColor=white&style=flat-square" alt="Ko-fi"></a>
+<a href="https://x.com/jangqai"><img src="https://img.shields.io/badge/X-@jangqai-000000?logo=x&logoColor=white&style=flat-square" alt="X/Twitter"></a>
+<a href="https://github.com/jjang-ai/jangq"><img src="https://img.shields.io/badge/GitHub-jjang--ai/jangq-181717?logo=github&logoColor=white&style=flat-square" alt="GitHub"></a>
+<a href="https://mlx.studio"><img src="https://img.shields.io/badge/MLX_Studio-App-blue?style=flat-square" alt="MLX Studio"></a>
+<a href="https://jangq.ai"><img src="https://img.shields.io/badge/Website-jangq.ai-green?style=flat-square" alt="Website"></a>
+
+</p>
+
+---
+
+## Disclaimer
+
+This model is provided for research and educational purposes. The creators are not responsible for any misuse. By downloading this model, you agree to use it responsibly and in compliance with applicable laws.
+
+---
+
+## 한국어
+
+### Qwen 3.5 VL 9B — JANG_4S + CRACK
+
+| 항목 | 내용 |
+|------|------|
+| 크기 | 6 GB |
+| HarmBench | 72.5% (232/320) |
+| MMLU | 70.8% (기본 72.3% 대비 -1.5%) |
+| 비전 | 지원 (MLX Studio / vMLX) |
+| 최소 요구사양 | 16 GB 메모리 Mac |
+
+```bash
+pip install "jang[mlx]"
+```
+
+[GitHub](https://github.com/jjang-ai/jangq) · [HuggingFace](https://huggingface.co/JANGQ-AI) · [MLX Studio](https://mlx.studio) · [Ko-fi](https://ko-fi.com/jangq) · [X @jangqai](https://x.com/jangqai)
+
+---
+
+<p align="center">Created by <a href="https://jangq.ai">Jinho Jang</a> · 장진호 제작</p>

config.json

@@ -0,0 +1,108 @@
+{
+  "architectures": [
+    "Qwen3_5ForConditionalGeneration"
+  ],
+  "image_token_id": 248056,
+  "model_type": "qwen3_5",
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "dtype": "bfloat16",
+    "eos_token_id": 248046,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 12288,
+    "layer_types": [
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+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
+      "linear_attention",
+      "linear_attention",
+      "full_attention",
+      "linear_attention",
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+      "full_attention",
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+      "full_attention",
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+      "linear_attention",
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+    "linear_value_head_dim": 128,
+    "max_position_embeddings": 262144,
+    "mlp_only_layers": [],
+    "model_type": "qwen3_5_text",
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+    "mtp_use_dedicated_embeddings": false,
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+  "transformers_version": "4.57.0.dev0",
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+  "vision_config": {
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+    "spatial_merge_size": 2,
+    "temporal_patch_size": 2
+  },
+  "vision_end_token_id": 248054,
+  "vision_start_token_id": 248053,
+  "quantization": {
+    "group_size": 64,
+    "bits": 4
+  },
+  "eos_token_id": 248046
+}

jang_config.json

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+{
+  "quantization": {
+    "method": "jang-importance",
+    "profile": "JANG_4S",
+    "target_bits": 2.5,
+    "actual_bits": 4.34,
+    "block_size": 64,
+    "calibration_method": "weights",
+    "quantization_method": "mse",
+    "scoring_method": "weight-magnitude",
+    "bit_widths_used": [
+      4,
+      6
+    ],
+    "quantization_scheme": "asymmetric",
+    "quantization_backend": "mx.quantize"
+  },
+  "source_model": {
+    "name": "Qwen3.5-9B",
+    "dtype": "bfloat16",
+    "parameters": "8.0B"
+  },
+  "architecture": {
+    "type": "hybrid_ssm",
+    "attention": "none",
+    "has_vision": true,
+    "has_ssm": true,
+    "has_moe": false
+  },
+  "runtime": {
+    "total_weight_bytes": 4984406016,
+    "total_weight_gb": 4.64
+  },
+  "format": "jang",
+  "format_version": "2.0",
+  "crack_surgery": {
+    "vector": "qwen_9b_jang4s_512pair_vectors.safetensors",
+    "direction_layer": 31,
+    "target_layers": [
+      31
+    ],
+    "target_projs": "o_proj",
+    "strength": 8.0,
+    "modified_tensors": 1,
+    "mode": "standard"
+  }
+}

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preprocessor_config.json

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+  ],
+  "bos_token": null,
+  "chat_template": "{%- set image_count = namespace(value=0) %}\n{%- set video_count = namespace(value=0) %}\n{%- macro render_content(content, do_vision_count, is_system_content=false) %}\n    {%- if content is string %}\n        {{- content }}\n    {%- elif content is iterable and content is not mapping %}\n        {%- for item in content %}\n            {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain images.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set image_count.value = image_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Picture ' ~ image_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}\n            {%- elif 'video' in item or item.type == 'video' %}\n                {%- if is_system_content %}\n                    {{- raise_exception('System message cannot contain videos.') }}\n                {%- endif %}\n                {%- if do_vision_count %}\n                    {%- set video_count.value = video_count.value + 1 %}\n                {%- endif %}\n                {%- if add_vision_id %}\n                    {{- 'Video ' ~ video_count.value ~ ': ' }}\n                {%- endif %}\n                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}\n            {%- elif 'text' in item %}\n                {{- item.text }}\n            {%- else %}\n                {{- raise_exception('Unexpected item type in content.') }}\n            {%- endif %}\n        {%- endfor %}\n    {%- elif content is none or content is undefined %}\n        {{- '' }}\n    {%- else %}\n        {{- raise_exception('Unexpected content type.') }}\n    {%- endif %}\n{%- endmacro %}\n{%- if not messages %}\n    {{- raise_exception('No messages provided.') }}\n{%- endif %}\n{%- if tools and tools is iterable and tools is not mapping %}\n    {{- '<|im_start|>system\\n' }}\n    {{- \"# Tools\\n\\nYou have access to the following functions:\\n\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\" }}\n    {{- '\\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>' }}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {%- if content %}\n            {{- '\\n\\n' + content }}\n        {%- endif %}\n    {%- endif %}\n    {{- '<|im_end|>\\n' }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {%- set content = render_content(messages[0].content, false, true)|trim %}\n        {{- '<|im_start|>system\\n' + content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" %}\n        {%- set content = render_content(message.content, false)|trim %}\n        {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}\n            {%- set ns.multi_step_tool = false %}\n            {%- set ns.last_query_index = index %}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if ns.multi_step_tool %}\n    {{- raise_exception('No user query found in messages.') }}\n{%- endif %}\n{%- for message in messages %}\n    {%- set content = render_content(message.content, true)|trim %}\n    {%- if message.role == \"system\" %}\n        {%- if not loop.first %}\n            {{- raise_exception('System message must be at the beginning.') }}\n        {%- endif %}\n    {%- elif message.role == \"user\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- set reasoning_content = reasoning_content|trim %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content + '\\n</think>\\n\\n' + content }}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if tool_call.function is defined %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {%- if loop.first %}\n                    {%- if content|trim %}\n                        {{- '\\n\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- else %}\n                        {{- '<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                    {%- endif %}\n                {%- else %}\n                    {{- '\\n<tool_call>\\n<function=' + tool_call.name + '>\\n' }}\n                {%- endif %}\n                {%- if tool_call.arguments is defined %}\n                    {%- for args_name, args_value in tool_call.arguments|items %}\n                        {{- '<parameter=' + args_name + '>\\n' }}\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 %}\n                        {{- args_value }}\n                        {{- '\\n</parameter>\\n' }}\n                    {%- endfor %}\n                {%- endif %}\n                {{- '</function>\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.previtem and loop.previtem.role != \"tool\" %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n            {{- '<|im_end|>\\n' }}\n        {%- elif loop.last %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- else %}\n        {{- raise_exception('Unexpected message role.') }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- else %}\n        {{- '<think>\\n' }}\n    {%- endif %}\n{%- endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 262144,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "add_bos_token": false,
+  "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
+  "extra_special_tokens": {
+    "audio_bos_token": "<|audio_start|>",
+    "audio_eos_token": "<|audio_end|>",
+    "audio_token": "<|audio_pad|>",
+    "image_token": "<|image_pad|>",
+    "video_token": "<|video_pad|>",
+    "vision_bos_token": "<|vision_start|>",
+    "vision_eos_token": "<|vision_end|>"
+  }
+}

video_preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 25165824,
+        "shortest_edge": 4096
+    },
+    "patch_size": 16,
+    "temporal_patch_size": 2,
+    "merge_size": 2,
+    "image_mean": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "image_std": [
+        0.5,
+        0.5,
+        0.5
+    ],
+    "processor_class": "Qwen3VLProcessor",
+    "video_processor_type": "Qwen3VLVideoProcessor"
+}