OpenThai-SystemOne on Core AI: int8lin ship bundle and fp16 reference, slot-probability gates vs the author's fp32 readout

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+gpu-pipelined/openthai_systemone_decode_fp16/openthai_systemone_decode_fp16.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+gpu-pipelined/openthai_systemone_decode_fp16/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+gpu-pipelined/openthai_systemone_decode_int8lin/openthai_systemone_decode_int8lin.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+gpu-pipelined/openthai_systemone_decode_int8lin/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

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README.md

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+---
+license: apache-2.0
+base_model: iapp/OpenThai-SystemOne
+language:
+- th
+- en
+tags:
+- coreai
+- decision-model
+- system-one
+- zero-shot-classification
+- thai
+---
+
+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, e.g. Qwen3-8B 4-bit decodes at 94 tok/s on an M4 Max GPU, MLX 90 under the same protocol ([apple-silicon-llm-bench](https://github.com/john-rocky/apple-silicon-llm-bench), macOS 27 beta 26A5353q, 2026-06-11).
+
+# OpenThai-SystemOne — Core AI
+
+[🤗 mlboydaisuke/OpenThai-SystemOne-CoreAI](https://huggingface.co/mlboydaisuke/OpenThai-SystemOne-CoreAI) · Apache-2.0 · source [iapp/OpenThai-SystemOne](https://huggingface.co/iapp/OpenThai-SystemOne/tree/f3709948b5e3cc9606a57e74ba62b7a639d17dd3) (revision `f3709948`) · base Qwen/Qwen3.5-0.8B-Base
+
+A **Thai + English System One decision model**: it reads a state and typed questions — Choice,
+Score or Noul — and returns option probabilities. The Qwen3.5 text tower was continued-pretrained
+on Thai; its language-model head was replaced by a **256-way biased slot head**. The readout is
+at `<|ts_answer|>`. It never generates text.
+
+This is the zoo's second decision model. The graph uses the Qwen3.5 decode-only, loop-free S=1
+recipe with three changes: the `model.*` weight prefix, a 248,339-row embedding, and the slot
+head in the `lm_head` position. **int8lin is the ship bundle; fp16 is published beside it as
+the reference.** Both have a 4,096-token context and emit `logits` with shape `[1, 1, 256]`.
+
+## Readout contract
+
+Each question is one independent row in the author's layout, with no chat template or BOS:
+
+```text
+<|ts_state|> <state>
+<|ts_q|><|ts_choice|> <instructions>
+<|ts_opt_0|> <name>: <description>
+<|ts_opt_1|> <name>
+<|ts_answer|>
+```
+
+The author's encoded sequence has a newline after `<|ts_answer|>`; the answer slot is
+`len(ids_full) - 2`. The bundle consumes the prefix through the answer token, id **248082**,
+and reads the last call's 256 logits. Removing the trailing newline changes the fp32 oracle
+logits by at most **0.000018597** across the fixtures (tolerance 0.0001).
+
+- Choice options retain request order. Score uses `<|ts_score|>` and options `i: <level>`,
+  with 2–10 levels. Noul uses `<|ts_noul|>` and slots `0 = no`, `1 = yes`, with the supplied
+  false/true descriptions when present.
+- For `k` options, divide all slot logits by the question type's temperature, mask slots
+  `k..254` to negative infinity, and softmax over all 256 slots. Return
+  `p_options = p_full[:k] / sum(p_full[:k])`; retain `p_full[255]` as abstain. Slot indices
+  are **not vocabulary token ids**. Choice supports up to 255 options.
+- Temperatures are read from `exp(log_temperature)` in the checkpoint: **choice 1.058534,
+  score 1.043141, noul 1.006767**. They differ from the author's v0.3 card, which quotes
+  **choice 1.055, score 1.008, noul 1.047**. Metadata carries the tensor-derived values at
+  full precision.
+- The author's API exposes abstain for **Choice only**. Score exposes probabilities and
+  confidence; Noul exposes the probability of yes. Confidence is one minus normalized
+  entropy. The pinned client does not round; its Choice/Score assembly performs a second
+  fp32 renormalization. All fixtures use `permutations=1`.
+
+The [fixture](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/fixtures-openthai-systemone.json)
+contains 18 requests: 48 kit rows (24 Choice, 14 Noul, 10 Score) and two zoo rows with 40 and
+255 options. It covers Thai, English, mixed text, dict states and list states. The bundle and
+the kit answer one question per row. The independent-row fp32 oracle assembly equals the
+author's single-question API exactly for **18/18 requests** (50/50 question calls). The author's
+one-pass API places several questions in one causal sequence; its answers to later questions
+can differ from independent rows: max **|Δp| 0.375453** on these requests. That comparison is
+recorded as API behavior, not a conversion gate.
+
+## Measured (Apple M4 Max GPU, macOS 27.0 26A428, 2026-09-23)
+
+| | fp16 (reference) | int8lin (ship) |
+|---|---:|---:|
+| option argmax = author's fp32 oracle | 50/50 | 50/50 |
+| argmax on oracle margin ≥ 0.02 | 49/49 | 49/49 |
+| max \|Δp\| over option probabilities | 0.005059 | 0.020813 |
+| mean of per-row mean \|Δp\| | 0.000225 | 0.000659 |
+| max \|Δabstain\| | 0.016488 | 0.018837 |
+| Swift pipelined first token = decoded raw-slot argmax | 50/50 | 50/50 |
+| Swift sequential first token = decoded raw-slot argmax | 50/50 | 50/50 |
+| state reset, row 1 logits bit-identical | yes | yes |
+
+The gate requires option-argmax agreement on every row with oracle margin ≥ 0.02, finite
+logits and the state-reset proof. Probability and abstain errors are recorded. The only row
+below that margin is `r18-slot` (0.009739); it agrees on both bundles. The largest int8lin
+probability difference is `r05-dry`, a two-option Noul row with oracle margin 0.061681.
+
+Probabilities come from an AOT h16c GPU asset loaded through the Core AI Python runtime with
+`SpecializationOptions.default()`, fresh zero states per row and full `position_ids` at each
+S=1 step. The engine check uses Release `llm-runner`, raw ids, one greedy token, and
+`COREAI_CHUNK_THRESHOLD=1`. It compares `tokenizer.decode([raw256_argmax])` against the same
+bundle's unmasked Python readout; that diagnostic string is not a decision answer. Transcripts:
+[fp16 readout](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/gate-openthai-systemone-readout-fp16.json),
+[int8lin readout](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/gate-openthai-systemone-readout-int8lin.json),
+[fp16 engines](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/gate-openthai-systemone-engine-fp16.json),
+[int8lin engines](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/gate-openthai-systemone-engine-int8lin.json).
+
+**Throughput**, int8lin, Release `llm-benchmark`, p=128 / g=256, two launches × three trials
+per engine, `COREAI_CHUNK_THRESHOLD=1`; median (range):
+
+| Engine | prefill proxy, tok/s | decode, tok/s | load per launch, s |
+|---|---:|---:|---:|
+| coreai-pipelined | 252.7 (243.8–258.6) | 250.8 (244.5–253.8) | 1.415 / 0.167 |
+| coreai-sequential | 197.1 (196.1–201.3) | 194.8 (192.6–197.7) | 0.172 / 0.166 |
+
+This is a **prefill-rate proxy**: the graph is S=1, and synthetic generation throughput is
+not decision latency. The benchmark samples ids from the metadata's 256-wide output range.
+No other Core AI, Python or Swift engine job appeared in the before/after process snapshots
+(`contended: false`). Load is measured per launch, excluding warmup. The frozen Swift tag's
+benchmark needed a local CLI option to select `EngineOptions.variant`; the trial loop was
+unchanged. [Trials, load times and environment](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/llm-benchmark.json).
+
+## Through the kit
+
+**Measured through coreai-kit**, using its sequential engine and tokenizer: `decide-cli parity`
+matched tokens 50/50, answer slots 50/50 and option argmax 50/50 on both bundles, including the
+40- and 255-option rows. int8lin max |Δp| was **0.0226** (`r05-dry`), mean **0.0009**, and max
+|Δabstain| **0.0222**; fp16 was **0.0051** (`r05-task`), **0.0003**, and **0.0165** respectively.
+These are kit measurements supplied by the supervisor, separate from the Python-runtime
+table above. Median int8lin wall time per fixture question was **354 ms** over the 50 rows, two to
+three questions per state (a question on a new state pays for the whole state); the 255-option row (1,449 tokens, S=1 prefill) took **7.2 s**. A
+three-question Thai ticket took **351 / 316 / 429 ms** for its 57-, 63- and 83-token rows; the
+recurrent hybrid cannot rewind mid-sequence, so every row is prefilled from its first token (0
+tokens reused).
+
+On SemIf's authored144 — 144 English rows with three options, SemIf's gold labels and unchanged
+`benchmarks/evaluate.py` — int8lin on the Mac GPU, measured through coreai-kit, scored
+**109/144** raw and **0.7249 mean family balanced accuracy**. The kit README reports **0.681**
+for MiniCPM5-2B int8 and **0.821** for Qwen3.5-4B int8 on the same rows and evaluator.
+[Kit measurement record](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/measurements-coreai-kit.json).
+No phone gate is claimed for this port.
+
+## Bundle
+
+[mlboydaisuke/OpenThai-SystemOne-CoreAI](https://huggingface.co/mlboydaisuke/OpenThai-SystemOne-CoreAI)
+contains both LanguageBundles, each with `.aimodel`, `metadata.json` and `tokenizer/`:
+
+| Path under `gpu-pipelined/` | role | bundle bytes | `main.mlirb` bytes |
+|---|---|---:|---:|
+| `openthai_systemone_decode_int8lin/` | ship | 1,068,353,811 | 1,039,655,099 |
+| `openthai_systemone_decode_fp16/` | reference | 1,534,777,239 | 1,506,078,533 |
+
+int8lin quantizes the linears per block of 32; the biased slot head, embeddings, conv1d and
+norms stay fp16. `language.vocab_size = 256` describes the logits width because the sequential
+engine allocates its output buffer from it. The input tokenizer still contains **248,339
+tokens, including all 295 added tokens**. The `decision` metadata carries the slot count,
+abstain slot, answer token, temperatures and layout. The source `config.json` is retained for
+provenance.
+
+Use the zoo's [extra-states runtime patch](https://github.com/john-rocky/coreai-model-zoo/blob/main/apps/coreai-pipelined-extra-states.patch)
+for the hybrid's KV, conv and recurrent states, and `COREAI_CHUNK_THRESHOLD=1`. Both pipelined
+and sequential engines were checked with Release tools from fork tag `0.2.4-zoo` (`f7a75ec`).
+The [recipe](https://github.com/john-rocky/coreai-model-zoo/blob/main/models/openthai-systemone/recipe.toml)
+records the source revision and each graph's SHA-256.
+
+## Reproduce
+
+Run from the zoo checkout with the overlay environment; the oracle uses its own uv-managed
+environment. `DEVELOPER_DIR` must select Xcode 27 for the Core AI tools.
+
+```bash
+python3 conversion/zoo_convert.py run openthai-systemone
+python3 conversion/zoo_convert.py run openthai-systemone-fp16
+
+uv run conversion/slot/oracle_slot.py \
+    --out models/openthai-systemone/fixtures-openthai-systemone.json
+
+python3 conversion/slot/readout_gate_slot.py \
+    exports/openthai_systemone_decode_int8lin \
+    models/openthai-systemone/fixtures-openthai-systemone.json \
+    --transcript models/openthai-systemone/gate-openthai-systemone-readout-int8lin.json
+
+python3 conversion/slot/engine_argmax_slot.py \
+    exports/openthai_systemone_decode_int8lin \
+    models/openthai-systemone/fixtures-openthai-systemone.json \
+    --readout models/openthai-systemone/gate-openthai-systemone-readout-int8lin.json \
+    --runner <fork>/.build/release/llm-runner \
+    --engine pipelined --engine sequential \
+    --transcript models/openthai-systemone/gate-openthai-systemone-engine-int8lin.json
+```
+
+Repeat the readout and engine commands with `fp16` paths for the reference. The
+[exporter](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/export_openthai_systemone_decode_pipelined.py)
+downloads the pinned snapshot itself. [Gate instructions](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/slot/README.md)
+and [port notes](https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/openthai-systemone-port.md)
+record the oracle dependencies and runtime contract.
+
+## License
+
+Source Apache-2.0 (`iapp/OpenThai-SystemOne`); the bundles inherit it. The pinned source
+snapshot has no license file, so `LICENSE` contains the canonical
+[Apache License 2.0 text](https://www.apache.org/licenses/LICENSE-2.0.txt). The author's
+inference files are downloaded by the oracle at gate time and are not included in the bundles.

config.json

@@ -0,0 +1,107 @@
+{
+  "abstain_slot": 255,
+  "answer_token_id": 248082,
+  "architectures": [
+    "OpenThaiSystemOneForDecision"
+  ],
+  "dtype": "bfloat16",
+  "head_bias": true,
+  "model_type": "openthai_systemone",
+  "n_slots": 256,
+  "n_temperatures": 3,
+  "pad_token_id": 248044,
+  "text_config": {
+    "_name_or_path": "runs/cpt/latest",
+    "architectures": [
+      "Qwen3_5ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_output_gate": true,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "dtype": "bfloat16",
+    "eos_token_id": 248044,
+    "full_attention_interval": 4,
+    "head_dim": 256,
+    "hidden_act": "silu",
+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3584,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "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,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "pad_token_id": null,
+    "partial_rotary_factor": 0.25,
+    "problem_type": null,
+    "return_dict": true,
+    "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": false,
+    "use_cache": true,
+    "vocab_size": 248339
+  },
+  "transformers_version": "5.17.0",
+  "auto_map": {
+    "AutoConfig": "configuration.OpenThaiSystemOneConfig",
+    "AutoModel": "modeling.OpenThaiSystemOneForDecision"
+  }
+}

gpu-pipelined/openthai_systemone_decode_fp16/metadata.json

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+{
+  "metadata_version": "0.2",
+  "kind": "llm",
+  "name": "openthai_systemone_decode_fp16",
+  "assets": {
+    "main": "openthai_systemone_decode_fp16.aimodel"
+  },
+  "language": {
+    "tokenizer": "iapp/OpenThai-SystemOne",
+    "vocab_size": 256,
+    "max_context_length": 4096,
+    "embedded_tokenizer": true,
+    "function_map": {
+      "main": [
+        "main"
+      ]
+    }
+  },
+  "source": {
+    "model_definition": "torch",
+    "hf_model_id": "iapp/OpenThai-SystemOne",
+    "hf_revision": "f3709948b5e3cc9606a57e74ba62b7a639d17dd3"
+  },
+  "compression": null,
+  "decision": {
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+    "abstain_slot": 255,
+    "answer_token_id": 248082,
+    "temperature_by_type": {
+      "choice": 1.058533787727356,
+      "score": 1.0431410074234009,
+      "noul": 1.0067671537399292
+    },
+    "layout": "openthai_systemone"
+  },
+  "compilation": {
+    "date": "2026-09-22T18:36:08.038213+00:00",
+    "targets": []
+  }
+}

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gpu-pipelined/openthai_systemone_decode_fp16/openthai_systemone_decode_fp16.aimodel/main.mlirb

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gpu-pipelined/openthai_systemone_decode_fp16/openthai_systemone_decode_fp16.aimodel/metadata.json

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+{
+  "creationDate" : "20260922T183607Z",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b2"
+}

gpu-pipelined/openthai_systemone_decode_fp16/tokenizer/added_tokens.json

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+{
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+  "<|vision_end|>": 248054,
+  "<|vision_pad|>": 248055,
+  "<|vision_start|>": 248053
+}

gpu-pipelined/openthai_systemone_decode_fp16/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/openthai_systemone_decode_fp16/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/openthai_systemone_decode_fp16/tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3400f1532d54f98d82b24c503e61908aa66f84e22e566e59fc80494add3a5c3
+size 20039242

gpu-pipelined/openthai_systemone_decode_fp16/tokenizer/tokenizer_config.json

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+    "248046": {
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+  "image_token": "<|image_pad|>",
+  "is_local": true,
+  "local_files_only": false,
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+  "model_specific_special_tokens": {
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+    "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|>"
+}

gpu-pipelined/openthai_systemone_decode_int8lin/metadata.json

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+{
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+  "kind": "llm",
+  "name": "openthai_systemone_decode_int8lin",
+  "assets": {
+    "main": "openthai_systemone_decode_int8lin.aimodel"
+  },
+  "language": {
+    "tokenizer": "iapp/OpenThai-SystemOne",
+    "vocab_size": 256,
+    "max_context_length": 4096,
+    "embedded_tokenizer": true,
+    "function_map": {
+      "main": [
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+      ]
+    }
+  },
+  "source": {
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+    "hf_model_id": "iapp/OpenThai-SystemOne",
+    "hf_revision": "f3709948b5e3cc9606a57e74ba62b7a639d17dd3"
+  },
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+  "decision": {
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+    "abstain_slot": 255,
+    "answer_token_id": 248082,
+    "temperature_by_type": {
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+      "score": 1.0431410074234009,
+      "noul": 1.0067671537399292
+    },
+    "layout": "openthai_systemone"
+  },
+  "compilation": {
+    "date": "2026-09-22T18:37:15.022124+00:00",
+    "targets": []
+  }
+}

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gpu-pipelined/openthai_systemone_decode_int8lin/openthai_systemone_decode_int8lin.aimodel/metadata.json

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+  "producer" : "coreai-core 1.0.0b2"
+}

gpu-pipelined/openthai_systemone_decode_int8lin/tokenizer/added_tokens.json

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+{
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+  "<|vision_end|>": 248054,
+  "<|vision_pad|>": 248055,
+  "<|vision_start|>": 248053
+}

gpu-pipelined/openthai_systemone_decode_int8lin/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/openthai_systemone_decode_int8lin/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/openthai_systemone_decode_int8lin/tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3400f1532d54f98d82b24c503e61908aa66f84e22e566e59fc80494add3a5c3
+size 20039242

gpu-pipelined/openthai_systemone_decode_int8lin/tokenizer/tokenizer_config.json

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