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 *.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

@@ -0,0 +1,221 @@
+---
+license: apache-2.0
+base_model: Qwen/Qwen3.6-35B-A3B
+tags:
+  - uncensored
+  - abliterated
+  - fine-tuned
+  - nvfp4
+  - thinking
+  - not-for-all-audiences
+  - red-team
+  - research
+pipeline_tag: text-generation
+---
+
+# Qwen3.6-35B-A3B-Uncensored
+
+**By [kyaky](https://huggingface.co/kyaky), Blackwell team**
+
+![benchmark](hero.png)
+
+## The first uncensored thinking model that stays uncensored when thinking is ON
+
+Every public uncensored model is made by **abliteration**: a weight projection that suppresses refusal behavior.
+
+That worked for old chat models.
+
+But these are **thinking models**.
+
+In thinking mode, abliteration breaks: the model can re-derive the refusal inside its `<think>` chain, then refuse anyway. Worse, thinking mode is the deployment default in real serving stacks.
+
+**Qwen3.6-35B-A3B-Uncensored is the first model we know of that fixes this.**
+
+Not by pretending abliteration is enough.
+
+By going one generation further:
+
+> **gentle abliteration + fine-tuning + compliant chain-of-thought data**
+
+Result: it stays uncensored **whether thinking is ON or OFF**.
+
+## Responsible use: read this first
+
+This model has **no safety guardrails**. It may comply with harmful requests, including when thinking mode is enabled.
+
+It is released for **legitimate red-team, safety, alignment, evaluation, and controlled research use only**. You are responsible for all downstream controls, monitoring, access restrictions, and compliance with applicable laws and policies.
+
+The authors do **not** endorse misuse, harm, illegal activity, or unsafe deployment.
+
+**Tag:** `not-for-all-audiences`
+
+## Why this matters
+
+Most "uncensored thinking model" releases look fine only until you turn thinking on.
+
+Then the model does what thinking models do: it reasons. If the refusal behavior is still recoverable, the model reconstructs it internally and collapses back into refusal.
+
+This model was trained to solve that exact failure mode.
+
+| What matters in deployment | Result |
+|---|---:|
+| Genuinely useful compliance, thinking **ON** | **80.0%** |
+| Genuinely useful compliance, thinking **OFF** | **76.7%** |
+| GSM8K capability | **0.893** |
+| Hollow engaged-but-useless rate | **1.7%** |
+
+## Headline benchmark
+
+Strict harness:
+
+- 3-way held-out JailbreakBench
+- StrongREJECT-style usefulness gate
+- counts only **genuinely useful compliance**
+- GSM8K capability check
+- thinking **ON** and **OFF**
+- each model evaluated in native format
+- no re-quantization
+
+### Genuinely useful compliance
+
+| Model | Method | Thinking ON | Thinking OFF |
+|---|---|---:|---:|
+| huihui-ai | basic abliteration | 3.3% | 61.7% |
+| wangzhang | Abliterix | 18.3% | 66.7% |
+| HauhauCS-Aggressive | Reaper, strongest abliteration baseline | 63.3% | 63.3% |
+| **Ours** | **FT + compliant-CoT** | **80.0%** | **76.7%** |
+
+**Deployment-default metric:** thinking-ON genuinely useful compliance.
+
+Ours reaches **80.0%** with thinking enabled. The abliteration field ranges from **3.3% to 63.3%**.
+
+### Capability preservation
+
+| Model | GSM8K |
+|---|---:|
+| **Ours** | **0.893** |
+| wangzhang | 0.893 |
+| HauhauCS-Aggressive | 0.867 |
+| huihui-ai | 0.847 |
+
+The fine-tuning pass does not hollow out the model. Capability is preserved and healed: **0.893 GSM8K**, tied for best in the field.
+
+## The punchline
+
+1. **The only uncensored model here that works in deployment-default thinking mode**: **80.0%** useful ON vs the field's **3.3-63.3%**.
+2. **Uncensored in both thinking modes**: competitors can spike with thinking OFF, then collapse when thinking is ON.
+3. **Capability preserved**: **0.893 GSM8K**, tied best in the comparison.
+4. **Not hollow**: only **1.7%** engaged-but-useless behavior.
+5. **Fine-tuning-based fix**: abliteration is the starting point, not the solution.
+
+Fair credit: **HauhauCS-Aggressive / Reaper** is the strongest abliteration baseline we measured. This release is a generation beyond that: **FT beyond abliteration**.
+
+## Model details
+
+| Field | Value |
+|---|---|
+| Model | `Qwen3.6-35B-A3B-Uncensored` |
+| Author | `kyaky` |
+| Team | Blackwell |
+| Base | `Qwen/Qwen3.6-35B-A3B` |
+| Architecture | multimodal hybrid GatedDeltaNet + attention |
+| MoE | fused 256-expert, top-8 |
+| Active parameters | ~3B active |
+| Quant | NVFP4 |
+| Size | ~21 GB |
+| Target hardware | Blackwell / `sm120` |
+| License | Apache 2.0 |
+
+BF16 is also available for re-quantization to FP8, AWQ, GGUF, or other deployment formats.
+
+## Method recipe
+
+**Abliterate gently -> SFT [~85% capability-dominant: OpenMathInstruct-2 / OpenCodeReasoning / Tulu-3-minus-safety + ~15% compliance: half compliant-CoT (`gpt-oss` analysis -> `<think>`) half direct] -> re-quant -> re-measure**
+
+The important part is not just removing refusals. It is teaching the model to remain compliant through the reasoning path that would otherwise reconstruct refusal behavior.
+
+## Serving with vLLM
+
+```bash
+vllm serve kyaky/Qwen3.6-35B-A3B-Uncensored \
+  --trust-remote-code \
+  --reasoning-parser qwen3
+```
+
+Thinking mode is typically the deployment default. Use `chat_template_kwargs` to control it explicitly.
+
+### Thinking ON
+
+```json
+{
+  "model": "kyaky/Qwen3.6-35B-A3B-Uncensored",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Write a concise technical explanation of mixture-of-experts routing."
+    }
+  ],
+  "chat_template_kwargs": {
+    "enable_thinking": true
+  }
+}
+```
+
+### Thinking OFF
+
+```json
+{
+  "model": "kyaky/Qwen3.6-35B-A3B-Uncensored",
+  "messages": [
+    {
+      "role": "user",
+      "content": "Write a concise technical explanation of mixture-of-experts routing."
+    }
+  ],
+  "chat_template_kwargs": {
+    "enable_thinking": false
+  }
+}
+```
+
+Default `true` = deployment-default thinking mode.
+
+## Benchmark interpretation
+
+The key number is not raw compliance. It is **genuinely useful compliance**.
+
+The harness penalizes hollow behavior: answers that look engaged but do not actually help. That matters because many uncensored models appear compliant while producing vague, evasive, or structurally useless text.
+
+This release is built for the harder target:
+
+> comply usefully, keep reasoning intact, and avoid collapsing under thinking mode.
+
+## Intended use
+
+Appropriate uses include:
+
+- controlled red-team evaluation
+- safety research
+- refusal and over-refusal analysis
+- alignment research
+- benchmark development
+- studying thinking-mode safety failure modes
+- local experimentation by qualified users with appropriate controls
+
+Do not deploy this model to untrusted users without independent safeguards, policy layers, monitoring, and access controls.
+
+## Limitations
+
+- No built-in safety guardrails.
+- May produce harmful, illegal, or unsafe outputs if prompted.
+- Requires downstream governance for any real deployment.
+- NVFP4 target is Blackwell / `sm120`.
+- Benchmark results are from the stated strict harness and should be independently reproduced for high-stakes decisions.
+
+## Citation / attribution
+
+Model by **kyaky**, Blackwell team.
+
+Base model: **Qwen/Qwen3.6-35B-A3B**.
+
+Released under **Apache 2.0**.

chat_template.jinja

@@ -0,0 +1,154 @@
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- macro render_content(content, do_vision_count, is_system_content=false) %}
+    {%- if content is string %}
+        {{- content }}
+    {%- elif content is iterable and content is not mapping %}
+        {%- 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 %}
+                {%- if do_vision_count %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Picture ' ~ image_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
+            {%- elif 'video' in item or item.type == 'video' %}
+                {%- if is_system_content %}
+                    {{- raise_exception('System message cannot contain videos.') }}
+                {%- endif %}
+                {%- if do_vision_count %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                {%- endif %}
+                {%- if add_vision_id %}
+                    {{- 'Video ' ~ video_count.value ~ ': ' }}
+                {%- endif %}
+                {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
+            {%- elif 'text' in item %}
+                {{- item.text }}
+            {%- else %}
+                {{- raise_exception('Unexpected item type in content.') }}
+            {%- endif %}
+        {%- endfor %}
+    {%- 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, false, 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, false, 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, false)|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, true)|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 (preserve_thinking is defined and preserve_thinking is true) or (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 | string if args_value is string else args_value | tojson | safe %}
+                        {{- 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 %}

generation_config.json

@@ -0,0 +1,13 @@
+{
+  "bos_token_id": 248044,
+  "do_sample": true,
+  "eos_token_id": [
+    248046,
+    248044
+  ],
+  "pad_token_id": 248044,
+  "temperature": 1.0,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.10.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5b12a627ac6fefd177269a0c0e75d50a09c704683a662f7ffdda478180c747db
+size 22517775624

preprocessor_config.json

@@ -0,0 +1,21 @@
+{
+    "size": {
+        "longest_edge": 16777216,
+        "shortest_edge": 65536
+    },
+    "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",
+    "image_processor_type": "Qwen2VLImageProcessorFast"
+}

processor_config.json

@@ -0,0 +1,60 @@
+{
+  "image_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_processor_type": "Qwen2VLImageProcessor",
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "merge_size": 2,
+    "patch_size": 16,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "size": {
+      "longest_edge": 16777216,
+      "shortest_edge": 65536
+    },
+    "temporal_patch_size": 2
+  },
+  "processor_class": "Qwen3VLProcessor",
+  "video_processor": {
+    "do_convert_rgb": true,
+    "do_normalize": true,
+    "do_rescale": true,
+    "do_resize": true,
+    "do_sample_frames": true,
+    "fps": 2,
+    "image_mean": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "image_std": [
+      0.5,
+      0.5,
+      0.5
+    ],
+    "max_frames": 768,
+    "merge_size": 2,
+    "min_frames": 4,
+    "patch_size": 16,
+    "resample": 3,
+    "rescale_factor": 0.00392156862745098,
+    "return_metadata": false,
+    "size": {
+      "longest_edge": 25165824,
+      "shortest_edge": 4096
+    },
+    "temporal_patch_size": 2,
+    "video_processor_type": "Qwen3VLVideoProcessor"
+  }
+}

recipe.yaml

@@ -0,0 +1,60 @@
+quant_stage:
+  quant_modifiers:
+    QuantizationModifier:
+      config_groups:
+        group_0:
+          targets: ['re:.*self_attn.q_proj.*', 're:.*self_attn.k_proj.*', 're:.*self_attn.v_proj.*',
+            're:.*self_attn.o_proj.*', 're:.*linear_attn.in_proj_qkv.*', 're:.*linear_attn.in_proj_z.*',
+            're:.*linear_attn.out_proj.*', 're:.*shared_expert.gate_proj.*', 're:.*shared_expert.up_proj.*',
+            're:.*shared_expert.down_proj.*']
+          weights:
+            num_bits: 8
+            type: float
+            symmetric: true
+            group_size: null
+            strategy: block
+            block_structure: [128, 128]
+            dynamic: false
+            actorder: null
+            scale_dtype: null
+            zp_dtype: null
+            observer: memoryless_minmax
+            observer_kwargs: {}
+          input_activations:
+            num_bits: 8
+            type: float
+            symmetric: true
+            group_size: 128
+            strategy: group
+            block_structure: null
+            dynamic: true
+            actorder: null
+            scale_dtype: null
+            zp_dtype: null
+            observer: null
+            observer_kwargs: {}
+          output_activations: null
+          format: null
+        group_1:
+          targets: ['re:.*mlp.experts.*gate_proj.*', 're:.*mlp.experts.*up_proj.*', 're:.*mlp.experts.*down_proj.*']
+          weights:
+            num_bits: 4
+            type: float
+            symmetric: true
+            group_size: 16
+            strategy: tensor_group
+            block_structure: null
+            dynamic: false
+            actorder: null
+            scale_dtype: torch.float8_e4m3fn
+            zp_dtype: null
+            observer: memoryless_minmax
+            observer_kwargs: {}
+          input_activations: null
+          output_activations: null
+          format: null
+      targets: [Linear]
+      ignore: ['re:.*lm_head', 're:.*embed_tokens', 're:visual.*', 're:model.visual.*', 're:.*mlp.gate$',
+        're:.*shared_expert_gate$', 're:.*linear_attn.in_proj_a', 're:.*linear_attn.in_proj_b',
+        're:.*linear_attn.conv1d', 're:^mtp\..*']
+      bypass_divisibility_checks: false

tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f399b3cd12fa270d51457bb749fb30863521e8359b8a27059c71b6c2f7d6dd6c
+size 19989424

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "audio_bos_token": "<|audio_start|>",
+  "audio_eos_token": "<|audio_end|>",
+  "audio_token": "<|audio_pad|>",
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": true,
+  "max_length": null,
+  "model_max_length": 262144,
+  "model_specific_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|>"
+  },
+  "pad_to_multiple_of": null,
+  "pad_token": "<|endoftext|>",
+  "pad_token_type_id": 0,
+  "padding_side": "left",
+  "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+",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null,
+  "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"
+}