decider-0.8b: Core AI int8hu pipelined bundle + card (gate: letter-probability parity vs the author's fp32 readout, 44 rows)

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/decider_0_8b_decode_int8hu_block32_sym.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

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README.md

@@ -0,0 +1,166 @@
+---
+license: apache-2.0
+base_model: Mapika/decider-0.8b
+pipeline_tag: text-classification
+library_name: coreai
+tags:
+- coreai
+- core-ai
+- apple
+- on-device
+- iphone
+- metal
+- decision-model
+- calibrated
+- system-one
+base_model_relation: quantized
+language:
+- en
+---
+
+Core AI is Apple's on-device ML runtime in iOS 27 / macOS 27 and the successor to Core ML: PyTorch models are exported with Apple's `coreai-torch` (LLMs: `coreai.llm.export`) into `.aimodel` bundles that run on the GPU or the Neural Engine.
+
+<!-- gen-cards:devicemark begin (managed by scripts/gen-cards + tools/devicemark_row.py — edit cards.json, not this block) -->
+This model has no row on [DeviceMark](https://devicemark.github.io/), the on-device LLM leaderboard.
+<!-- gen-cards:devicemark end -->
+
+# decider-0.8b — Core AI (System One decision model, int8, pipelined GPU engine)
+
+Apple **Core AI** (`.aimodel`) conversion of [Mapika/decider-0.8b](https://huggingface.co/Mapika/decider-0.8b). The zoo card and the gate scripts live in [coreai-model-zoo](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/decider-0.8b/README.md); this page is the same text with repository links.
+
+[🤗 mlboydaisuke/decider-0.8b-CoreAI](https://huggingface.co/mlboydaisuke/decider-0.8b-CoreAI) · Apache-2.0 · source [Mapika/decider-0.8b](https://huggingface.co/Mapika/decider-0.8b) (revision `1ea5412`) · base Qwen/Qwen3.5-0.8B-Base
+
+A **System One decision model**: it reads a state (text or JSON) and a set of typed questions —
+Choice (2–255 options), Score (2–10 described levels), Noul (probability of yes) — and returns a
+probability for every option from the **letter logits at an answer slot**. It never generates
+text. Mapika fine-tuned Qwen3.5-0.8B-Base for this readout (one epoch over 1.47M examples, per
+the author's card) and ships it behind the same `POST /v1/systemone` shape as the larger
+decider-2b. The author's own numbers, quoted from the source card and not re-measured here:
+in-task accuracy 0.776, held-out 0.707, calibrated with temperature 1.03.
+
+This is the zoo's first decision model: the value is the **calibrated probability**, so the gate
+below is a probability-parity gate against the author's fp32 inference code, not a token match.
+The bundle is the Qwen3.5-0.8B ship recipe with the HF id swapped (`int8hu --head-sym`: linear
+int8 per block of 32 with an absmax-symmetric int8 head, decode-only loop-free S=1 graph on the
+pipelined GPU engine), 1.34 GB, context 4,096.
+
+## Readout contract
+
+Every question is one independent row in the author's `state_first` layout:
+
+```
+Context:\n<state>\n\nQuestion: <question>\nOptions:\n(A) <option>\n(B) <option>...\nAnswer: (
+```
+
+- The answer slot is the **last token** of the row; the next-token logits at that position are
+  the readout. No chat template, no BOS, no generated token.
+- Labels come from the bundle's tokenizer: `A`..`Z`, then the first 229 two-letter strings that
+  encode as **one token** (255 labels; `AA` = 5840, `AB` = 1803, …). Only the first `nopts`
+  labels are read; `p = softmax(logits[labels[:nopts]] / 1.03)`.
+- A Score question with the checkpoint's `isolated_levels = true` becomes one yes/no row per
+  level (`<question>\nProposed answer: <level>\nDoes the proposed answer fit?`); the level
+  probabilities are the normalized yes-mass. `neutralize_none = false`: option strings are used
+  unchanged.
+- Rows must fit the bundle's 4,096-token context. A 255-option row is ≥ 1,275 tokens by
+  construction; the fixture's is 1,965.
+
+[`conversion/decider/oracle_decider.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/decider/oracle_decider.py) builds the fixture rows through the author's unchanged
+`decider/` package (downloaded from the checkpoint) and records the fp32 probabilities:
+[`fixtures-decider-0.8b.json`](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/decider-0.8b/fixtures-decider-0.8b.json) — 13 requests, 44 rows (23 Choice
+rows with 3–10 options, 9 Noul, 10 isolated Score rows from 2 Score questions, one 11-option
+row, one 255-option row), every row's ids, slot, label ids, fp32 slot logits and probabilities,
+and the author's `system_one` API output for each request (assembled answers equal the
+row-level probabilities, 13/13). Minimum oracle top-2 margin 0.51 — no near-ties, so the argmax
+gate has no exemptions.
+
+## Measured (Apple M4 Max, macOS 27.0 26A428, 2026-09-21)
+
+| | fp16 build (reference) | **int8hu --head-sym (ship)** |
+|---|---:|---:|
+| letter argmax = fp32 oracle | 44/44 | **44/44** |
+| full-vocabulary argmax is one of the row's labels | 44/44 | 44/44 |
+| max \|Δp\| over all option probabilities | 0.0050 | **0.0084** |
+| mean of per-row mean \|Δp\| | 0.00018 | **0.00067** |
+| Swift pipelined engine, first greedy token = oracle label | 44/44 | **44/44** |
+| state reset proof (row 1 re-run, logits bit-identical) | yes | yes |
+
+Ship bar: argmax 44/44 with no exemption, max |Δp| ≤ 0.02 and mean of row means ≤ 0.002 — four
+times the fp16 build's floor. The fp16 floor is the graph's own fp16 logits (the pipelined engine
+requires a float16 `logits` output), not conversion error.
+
+Two paths produce those rows, because the pipelined engine samples on the GPU and exposes no
+logits:
+
+- **Probabilities**: the bundle is AOT-compiled (`coreai-build compile … --platform macOS
+  --preferred-compute gpu --architecture h16c --expect-frequent-reshapes`) and the `.aimodelc`
+  is driven S=1 through the Core AI Python runtime with fresh zero states per row —
+  [`conversion/decider/readout_gate_decider.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/decider/readout_gate_decider.py), transcript
+  [`gate-decider-0.8b-readout.json`](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/decider-0.8b/gate-decider-0.8b-readout.json). AOT is required, not an
+  optimization: on 26A428 the Python runtime's JIT of this graph logged
+  `MTL4CommandQueueErrorDomain error 1` on every forward and returned all-zero logits.
+- **Engine argmax**: Release `llm-runner --raw-tokens <row ids> --max-tokens 1 --temperature 0.0
+  --inference-engine-variant coreai-pipelined --warmup off` (`COREAI_CHUNK_THRESHOLD=1`) must
+  emit the oracle's label string — [`conversion/decider/engine_argmax_decider.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/decider/engine_argmax_decider.py), transcript
+  [`gate-decider-0.8b-engine.json`](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/decider-0.8b/gate-decider-0.8b-engine.json).
+
+The zoo's language-model gate also passes on the ship bundle — `coreai_gate.py`, prompt "The
+alphabet begins A, B, C, D, E, F,", **16/16** token-exact vs the fp32 overlay oracle
+([`gate-decider-0.8b.json`](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/decider-0.8b/gate-decider-0.8b.json)): the fine-tune still speaks, which the
+System One API never asks of it.
+
+**Throughput** (ship bundle, Release `llm-benchmark`, p=128 g=256, `coreai-pipelined`,
+`COREAI_CHUNK_THRESHOLD=1`, 2 launches × 3 trials): decode **193.6 tok/s** median (186.5–197.0),
+prefill 226.4 (201.6–236.6), load 1.5 s cold / 0.2 s warm. No other Core AI work was on the GPU;
+a CPU-bound job from another lane ran on the same machine during the measurement. Because
+prefill is S=1 on this graph, a System One request costs about `rows × (state + question
+tokens) / decode rate` — ten independent questions over a 300-token state are ~3,500 steps.
+
+## Swift side
+
+`coreai-kit` has no `systemOne` op yet. The design —
+`CoreAI.systemOne(state:questions:options:)` mirroring the author's wire shape, the prompt
+builder port line by line, a tokenizer-parity contract on the 44 fixture rows, and the readout
+primitive (recommended: a completion-synchronized read-last-logits call on the pipelined engine,
+whose `decodeLogitsBuffers` already hold the fp16 logits; fallback: the zoo's N-state low-level
+runner) — is in
+[`knowledge/decider-systemone-op-design.md`](https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/decider-systemone-op-design.md).
+Until it exists the Swift engine gives the **argmax** only (the first greedy token), and the
+probabilities come from the Python runtime.
+
+iPhone: not measured. The frozen fork's pipelined engine caps the iOS growing KV cache at
+1,024 tokens, so the 255-option row does not run on the phone as is; the 43 other rows fit.
+
+## ⬇️ Bundle
+
+[mlboydaisuke/decider-0.8b-CoreAI](https://huggingface.co/mlboydaisuke/decider-0.8b-CoreAI)
+`gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/` — `.aimodel` (main.mlirb 1,309,263,719 B,
+sha256 `2ab6d715…aaf4`), `metadata.json`, `tokenizer/`. Runs on the pipelined engine with the
+zoo's [`apps/coreai-pipelined-extra-states.patch`](https://github.com/john-rocky/coreai-model-zoo/blob/main/apps/coreai-pipelined-extra-states.patch)
+(the hybrid's conv/rec states) and `COREAI_CHUNK_THRESHOLD=1`, like every Qwen3.5 bundle here.
+
+## Reproduce
+
+```bash
+# export (recipe.toml): the Qwen3.5 exporter with the HF id swapped; the decider checkpoint
+# stores a flat qwen3_5_text config, so the loader falls back from text_config to the root.
+python3 conversion/zoo_convert.py run decider-0.8b
+
+# fixtures + fp32 oracle through the author's own decider/ package (uv-managed env, CPU, ~5 min)
+uv run conversion/decider/oracle_decider.py --out models/decider-0.8b/fixtures-decider-0.8b.json
+
+# probability gate: AOT h16c + Python runtime (overlay interpreter, DEVELOPER_DIR = Xcode 27 RC)
+python3 conversion/decider/readout_gate_decider.py exports/decider_0_8b_decode_int8hu_block32_sym \
+    models/decider-0.8b/fixtures-decider-0.8b.json --transcript models/decider-0.8b/gate-decider-0.8b-readout.json
+
+# engine argmax gate: Release llm-runner from the patched fork
+python3 conversion/decider/engine_argmax_decider.py exports/decider_0_8b_decode_int8hu_block32_sym \
+    models/decider-0.8b/fixtures-decider-0.8b.json --runner <fork>/.build/release/llm-runner \
+    --transcript models/decider-0.8b/gate-decider-0.8b-engine.json
+```
+
+Port notes: [`knowledge/decider-0.8b-port.md`](https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/decider-0.8b-port.md).
+
+## License
+
+Source Apache-2.0 (Mapika/decider-0.8b); the bundle inherits it. The author's `decider/`
+inference code is used by the oracle script at gate time and is not part of the bundle.

config.json

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+{
+  "architectures": [
+    "Qwen3_5ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_output_gate": true,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 248044,
+  "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",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention",
+    "linear_attention",
+    "linear_attention",
+    "linear_attention",
+    "full_attention"
+  ],
+  "linear_conv_kernel_dim": 4,
+  "linear_key_head_dim": 128,
+  "linear_num_key_heads": 16,
+  "linear_num_value_heads": 16,
+  "linear_value_head_dim": 128,
+  "mamba_ssm_dtype": "float32",
+  "max_position_embeddings": 262144,
+  "mlp_only_layers": [],
+  "model_type": "qwen3_5_text",
+  "mtp_num_hidden_layers": 1,
+  "mtp_use_dedicated_embeddings": false,
+  "num_attention_heads": 8,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "partial_rotary_factor": 0.25,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "mrope_interleaved": true,
+    "mrope_section": [
+      11,
+      11,
+      10
+    ],
+    "partial_rotary_factor": 0.25,
+    "rope_theta": 10000000,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.17.0",
+  "use_cache": true,
+  "vocab_size": 248320
+}

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+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b2",
+  "creationDate" : "20260921T042447Z"
+}

gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/metadata.json

@@ -0,0 +1,28 @@
+{
+  "metadata_version": "0.2",
+  "kind": "llm",
+  "name": "decider_0_8b_decode_int8hu_block32_sym",
+  "assets": {
+    "main": "decider_0_8b_decode_int8hu_block32_sym.aimodel"
+  },
+  "language": {
+    "tokenizer": "Mapika/decider-0.8b",
+    "vocab_size": 248320,
+    "max_context_length": 4096,
+    "embedded_tokenizer": true,
+    "function_map": {
+      "main": [
+        "main"
+      ]
+    }
+  },
+  "source": {
+    "model_definition": "torch",
+    "hf_model_id": "Mapika/decider-0.8b"
+  },
+  "compression": null,
+  "compilation": {
+    "date": "2026-09-21T04:24:48.070798+00:00",
+    "targets": []
+  }
+}

gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/tokenizer/added_tokens.json

@@ -0,0 +1,35 @@
+{
+  "</think>": 248069,
+  "</tool_call>": 248059,
+  "</tool_response>": 248067,
+  "<think>": 248068,
+  "<tool_call>": 248058,
+  "<tool_response>": 248066,
+  "<tts_pad>": 248072,
+  "<tts_text_bos>": 248073,
+  "<tts_text_bos_single>": 248075,
+  "<tts_text_eod>": 248074,
+  "<|audio_end|>": 248071,
+  "<|audio_pad|>": 248076,
+  "<|audio_start|>": 248070,
+  "<|box_end|>": 248050,
+  "<|box_start|>": 248049,
+  "<|endoftext|>": 248044,
+  "<|file_sep|>": 248065,
+  "<|fim_middle|>": 248061,
+  "<|fim_pad|>": 248063,
+  "<|fim_prefix|>": 248060,
+  "<|fim_suffix|>": 248062,
+  "<|im_end|>": 248046,
+  "<|im_start|>": 248045,
+  "<|image_pad|>": 248056,
+  "<|object_ref_end|>": 248048,
+  "<|object_ref_start|>": 248047,
+  "<|quad_end|>": 248052,
+  "<|quad_start|>": 248051,
+  "<|repo_name|>": 248064,
+  "<|video_pad|>": 248057,
+  "<|vision_end|>": 248054,
+  "<|vision_pad|>": 248055,
+  "<|vision_start|>": 248053
+}

gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/tokenizer/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 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 true %}
+        {{- '<think>\n' }}
+    {%- else %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/tokenizer/special_tokens_map.json

@@ -0,0 +1,16 @@
+{
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
+size 19989325

gpu-pipelined/decider_0_8b_decode_int8hu_block32_sym/tokenizer/tokenizer_config.json

@@ -0,0 +1,299 @@
+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "248044": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248045": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248046": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248047": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248048": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248049": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248050": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248051": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248052": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248053": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248054": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248055": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248056": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248057": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248058": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248059": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248060": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248061": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248062": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248063": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248064": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248065": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248066": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248067": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248068": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248069": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "248070": {
+      "content": "<|audio_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248071": {
+      "content": "<|audio_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248072": {
+      "content": "<tts_pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248073": {
+      "content": "<tts_text_bos>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248074": {
+      "content": "<tts_text_eod>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248075": {
+      "content": "<tts_text_bos_single>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "248076": {
+      "content": "<|audio_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "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": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "image_token": "<|image_pad|>",
+  "is_local": false,
+  "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",
+  "unk_token": null,
+  "video_token": "<|video_pad|>",
+  "vision_bos_token": "<|vision_start|>",
+  "vision_eos_token": "<|vision_end|>"
+}