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

README.md

@@ -0,0 +1,103 @@
+---
+language:
+- en
+- ko
+- zh
+license: apache-2.0
+base_model: bottlecapai/ThinkingCap-Qwen3.6-27B
+base_model_relation: quantized
+library_name: mlx
+pipeline_tag: text-generation
+tags:
+- mlx
+- qwen3_5
+- quantized
+- mixed-precision
+- apple-silicon
+- token-efficient
+- efficient-thinking
+- conversational
+---
+
+# ThinkingCap-Qwen3.6-27B-Alis-MLX-Dynamic
+
+Apple Silicon (MLX) **mixed-precision** quantization of [bottlecapai/ThinkingCap-Qwen3.6-27B](https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.6-27B) — the token-efficiency finetune of Qwen3.6-27B (~50% fewer thinking tokens at preserved accuracy). **4.601 bpw, 15.47 GB, GPQA-Diamond 83.3% — 0.5pt from bf16.**
+
+| build | weights | GPQA-D* | avg think tokens | decode† | peak mem |
+|---|---|---|---|---|---|
+| **`main` (this)** | **15.47 GB** | **83.3%** | **2,838** | 36.5 tok/s | 15.8 GB |
+| official [Q4_K_M GGUF](https://huggingface.co/bottlecapai/ThinkingCap-Qwen3.6-27B-GGUF) | 16.81 GB | 82.3% | 3,654 | — | — |
+| ThinkingCap bf16 | 55.56 GB | 83.8% | 3,019 | — | — |
+
+\* n=198, temperature 1.0, seed-fixed shuffled choices, 32K token cap — identical harness for all three rows (harness validated by reproducing the ThinkingCap card's published 83.8 exactly).
+† single-stream on an M3 Ultra, short prompt.
+
+![Showdown: accuracy, size and thinking tokens vs the official Q4_K_M GGUF and bf16](https://huggingface.co/avlp12/ThinkingCap-Qwen3.6-27B-Alis-MLX-Dynamic/resolve/main/assets/fig_showdown.png)
+
+## Why this build
+
+Smaller **and** more accurate than the official 4-bit GGUF, with 22% fewer thinking
+tokens per answer — on Apple Silicon, fewer generated tokens is the speedup that
+matters. Fits 24 GB Macs with room for context (15.8 GB measured peak at short
+context; int8 KV keeps long-context overhead small — only 16 of 64 layers carry KV
+in this 3:1 DeltaNet hybrid).
+
+## The finding behind it: short thinkers survive quantization
+
+Across our GPQA campaign, the **same 4.6bpw recipe** loses 12.8pt on vanilla
+Qwen3.6-27B (85.5 → 72.7) but only 0.5pt on ThinkingCap (83.8 → 83.3). Long
+reasoning chains accumulate quantization drift token by token; ThinkingCap's
+~3K-token chains stay on track where vanilla's ~11K-token chains derail.
+**Token-efficiency finetune first, quantize second** — the two compound.
+
+![GPQA vs bits-per-weight: vanilla quants degrade steeply; the ThinkingCap quant sits on the bf16 line](https://huggingface.co/avlp12/ThinkingCap-Qwen3.6-27B-Alis-MLX-Dynamic/resolve/main/assets/fig_gpqa_curve.png)
+
+## Usage
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("avlp12/ThinkingCap-Qwen3.6-27B-Alis-MLX-Dynamic")
+prompt = tokenizer.apply_chat_template(
+    [{"role": "user", "content": "뮤텍스와 세마포어의 차이를 설명해줘."}],
+    add_generation_prompt=True,
+)
+print(generate(model, tokenizer, prompt=prompt, max_tokens=512))
+```
+
+```bash
+mlx_lm.generate --model avlp12/ThinkingCap-Qwen3.6-27B-Alis-MLX-Dynamic --prompt "..." -m 512
+mlx_lm.server --model avlp12/ThinkingCap-Qwen3.6-27B-Alis-MLX-Dynamic --port 8080
+```
+
+Long context: `--kv-bits 8 --kv-group-size 64` (measured quality-free on this family: KL vs bf16-KV ≤ 0.003).
+
+## Recipe (verified from `config.json`)
+
+Per-tensor bits by marginal utility from a full weight-space sensitivity scan,
+**validated end-to-end** (the scan alone misranks formats — see the nvfp4 note on the
+[vanilla 27B repo](https://huggingface.co/avlp12/Qwen3.6-27B-Alis-MLX-Dynamic)):
+
+| component | precision |
+|---|---|
+| bulk (90.1% of params) | affine 4-bit g64 |
+| sensitivity-ranked top 9.8% | affine 5-bit g64 |
+| routers / small gates | 6-bit pins |
+| embed / lm_head | ≥4-bit |
+
+No DWQ retune: at ≥4bpw the validation-gated DWQ rejects every round (already
+teacher-close); conversion-time weights ship as-is.
+
+## Notes & provenance
+
+- Text-only conversion (mlx-lm path); the base's vision tower is not included.
+- Eval artifacts: same 198-question GPQA protocol for every row of the table above.
+- Built on an M3 Ultra 512 GB · mlx-lm 0.31.3 · mlx 0.31.2 · 2026-07.
+- Siblings: [Qwen3.6-27B-Alis-MLX-Dynamic](https://huggingface.co/avlp12/Qwen3.6-27B-Alis-MLX-Dynamic) (vanilla golden + 5.5bpw reasoning tier), [Qwen3.6-35B-A3B-Alis-MLX-Dynamic](https://huggingface.co/avlp12/Qwen3.6-35B-A3B-Alis-MLX-Dynamic) (MoE, 102 tok/s).
+
+## Credits
+
+- **[bottlecapai](https://huggingface.co/bottlecapai)** — ThinkingCap-Qwen3.6-27B, the token-efficiency finetune this quantizes (and the Q4_K_M GGUF benchmarked against).
+- **[Qwen team](https://huggingface.co/Qwen)** — the underlying Qwen3.6-27B.
+- **[Apple MLX team](https://github.com/ml-explore/mlx)** — mlx / mlx-lm.
+- Quantization recipe & evals: [Alis (avlp12)](https://huggingface.co/avlp12) with the [alis-dwq](https://github.com/avlp12/alis-dwq) pipeline; built with assistance from Claude (Anthropic).

chat_template.jinja

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+{%- 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

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+{
+  "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": "5.7.0"
+}

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+size 5359250448

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tokenizer.json

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+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

tokenizer_config.json

@@ -0,0 +1,33 @@
+{
+  "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": false,
+  "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_token": "<|endoftext|>",
+  "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",
+  "tool_parser_type": "qwen3_coder",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}