S1-mini by Superwhisper — Core AI int8lin bundle

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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/s1_mini_decode_int8lin/s1_mini_decode_int8lin.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+gpu-pipelined/s1_mini_decode_int8lin/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,212 @@
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+   ADDITIONAL TERM
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+   In addition to the terms of the Apache License, Version 2.0 above: any
+   use, distribution, or integration of this model, whether unmodified or
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+   by its original name, "S1-mini" by "Superwhisper", using that exact
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+   a product incorporating it is marketed or distributed.

README.md

@@ -0,0 +1,139 @@
+---
+license: other
+license_name: s1-mini-license
+license_link: LICENSE
+library_name: coreai
+pipeline_tag: text-generation
+base_model: superwhisper/s1-mini
+base_model_relation: quantized
+language: [en]
+tags: [core-ai, coreaikit, asr, speech-to-text, text-normalization,
+       inverse-text-normalization, punctuation, truecasing, dictation,
+       post-processing, on-device, apple, qwen3]
+---
+
+# S1-mini by Superwhisper — Core AI
+
+[**S1-mini**](https://huggingface.co/superwhisper/s1-mini) by **Superwhisper** converted to
+Apple **Core AI**, running fully on-device on iPhone and Mac.
+
+S1-mini is a 0.6B **text normalizer for speech-to-text output**. Give it a raw ASR
+transcript and it returns clean written text: fillers removed, false starts and
+self-corrections resolved to whatever the speaker landed on, punctuation and capitalization
+applied, and spoken numbers, dates, times, currency and email addresses rendered in written
+form. It is not a chat model — it does one job, steered by a control line at the top of the
+input.
+
+That makes it the piece an on-device dictation stack is usually missing. Core AI already has
+ASR (Parakeet, Nemotron-3.5-ASR-Streaming, Whisper, Qwen3-ASR); this is the post-processor
+that turns a raw transcript into text a person would actually send, with nothing leaving the
+device.
+
+> **Naming.** The upstream license adds a term to Apache-2.0: any use, distribution or
+> product integration must keep identifying this model as **"S1-mini"** by **"Superwhisper"**,
+> with that exact capitalization, whatever the surrounding product is called. See
+> [`LICENSE`](LICENSE).
+
+## Contents
+
+`gpu-pipelined/s1_mini_decode_int8lin/` — decode bundle for the Core AI pipelined engine,
+**759 MB**. Body int8 per-block-32; the head is tied to the embedding and stays fp16 (see
+*Quantization* below). Runs unchanged on macOS and iOS — no AOT compile needed.
+
+## Measured
+
+| | decode | prefill | numerics |
+|---|---:|---:|---|
+| **M4 Max** (Mac Studio, macOS 27.0) | **268.4 tok/s** | **4161 tok/s** | 16/16 token-exact vs the fp32 HF oracle |
+| **iPhone 17 Pro** (A19 Pro, Release) | **62.4 tok/s** | **69.0 tok/s** | 276/276 + 27/27 token-exact vs the Mac engine |
+
+`device == Mac == fp32 HF`. Load 0.2–1.0 s on device. The iPhone numbers are cold and
+reproduced across two runs; **under sustained load expect about half** (34.9 prefill / 30.5
+decode after back-to-back 1024-token generations, restored by seven idle minutes — thermal,
+not a regression). A dictation post-processor runs repeatedly, so plan against the sustained
+number.
+
+### Task quality
+
+The conversion gate above is a free-run continuation, which on a single-task model measures
+the base language prior and very little of the task. So this port also gates the model in its
+own input format, across the card's three control axes, against the released weights run
+through `transformers`: **13/14**, the one miss being punctuation
+(`$23,450 and` for `$23,450, and`).
+
+## ⚠️ iPhone ceiling: prompt + generated must stay under 1024 tokens
+
+Measured: a 611-token transcript whose rewrite runs 603 tokens produced **413 tokens on
+device, every one token-identical to the Mac**, then stopped at absolute position exactly
+**1024**. Truncation, not corruption.
+
+This is shipped engine behaviour — `CoreAIPipelinedEngine` caps iOS growing-KV capacity at
+1024 (`1024 - processed - prompt.count`) and throws `contextLengthExceeded` when a prompt
+leaves no budget, guarding the iOS compiler's miscompilation of growing-KV specializations at
+seq ≥ 2048. `1024 − 611 = 413`, exactly the measurement.
+
+**Chunk input to roughly ≤450–500 tokens** so prompt + rewrite clears the cap. macOS has no
+such cap.
+
+## Prompt format — `enable_thinking=False` is mandatory
+
+The system prompt and the control line are part of the trained input format. Leave thinking
+on and the model emits an empty `<think>` block and stops: every call returns the empty
+string, which reads like a working pipeline producing nothing.
+
+```
+<|im_start|>system
+You are a text normalizer for speech-to-text transcripts. The input begins with a control line specifying the styling, structure, and context settings; clean the transcript to match those settings and output only the cleaned text.<|im_end|>
+<|im_start|>user
+[Styling: semi-formal] [Structure: prose] [Context: general]
+<raw transcript><|im_end|>
+<|im_start|>assistant
+<think>
+
+</think>
+
+```
+
+`Styling` ∈ `casual` / `semi-casual` / `semi-formal` / `formal` ·
+`Structure` ∈ `prose` / `lists` · `Context` ∈ `general` / `email`.
+All three axes are independent and every combination was trained.
+
+Example, `[Styling: semi-formal] [Structure: prose] [Context: general]`:
+
+| in | out |
+|---|---|
+| `so um i need to like send the the report by uh friday no wait make that thursday` | `So I need to send the report by Thursday.` |
+| `the invoice came to twenty three thousand four hundred and fifty dollars and it's due on march third twenty twenty six` | `The invoice came to $23,450 and it's due on March 3, 2026.` |
+| `um` | *(empty string)* |
+
+## Quantization
+
+- **Body int8**, per-block-32 `symmetric_with_clipping`; norms, RoPE, SDPA and the embedding
+  stay full precision.
+- **No head quantization, on purpose.** The head is *tied* to the 151936×1024 embedding, and
+  the eager quantizer skips shared params — so quantizing it means untying it first, which
+  *adds* a tensor rather than shrinking one: tied fp16 embed+head is 311 MB, while fp16 embed
+  + int8 untied head is 311 + 156 = 467 MB. Untying is a pure loss at every bit width.
+- **int4 is a measured no-go and is not published here.** It is 549 MB, decodes faster, and
+  passes the *same* 16/16 fp32 oracle gate — and it corrupts digits: `$23,450` → `$2,345`,
+  `107` → `177`, and it drops "tomorrow" from a time normalization. For a model whose job
+  includes inverse text normalization of money and counts, that closes it. Only the
+  task-format gate sees this; the continuation gate is blind to it.
+
+## Reproduce
+
+Exporter, gates, card and port notes live in the
+[Core AI model zoo](https://github.com/john-rocky/coreai-model-zoo):
+[`models/s1-mini/`](https://github.com/john-rocky/coreai-model-zoo/tree/main/models/s1-mini),
+[`conversion/export_s1_mini_decode_pipelined.py`](https://github.com/john-rocky/coreai-model-zoo/blob/main/conversion/export_s1_mini_decode_pipelined.py),
+[`knowledge/s1-mini-port.md`](https://github.com/john-rocky/coreai-model-zoo/blob/main/knowledge/s1-mini-port.md).
+
+```bash
+python3 conversion/zoo_convert.py show s1-mini
+python3 conversion/zoo_convert.py run  s1-mini
+```
+
+## Credits
+
+Model: **S1-mini** by **Superwhisper** ([superwhisper.com](https://superwhisper.com)).
+Core AI conversion: the Core AI model zoo.

config.json

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 40960,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

gpu-pipelined/s1_mini_decode_int8lin/metadata.json

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+{
+  "metadata_version": "0.2",
+  "kind": "llm",
+  "name": "s1_mini_decode_int8lin",
+  "assets": {
+    "main": "s1_mini_decode_int8lin.aimodel"
+  },
+  "language": {
+    "tokenizer": "superwhisper/s1-mini",
+    "vocab_size": 151936,
+    "max_context_length": 4096,
+    "embedded_tokenizer": true,
+    "function_map": {
+      "main": [
+        "main"
+      ]
+    }
+  },
+  "source": {
+    "model_definition": "torch",
+    "hf_model_id": "superwhisper/s1-mini"
+  },
+  "compression": {
+    "scheme": "int8lin"
+  },
+  "compilation": {
+    "date": "2026-08-24T21:11:44.222406+00:00",
+    "targets": []
+  }
+}

gpu-pipelined/s1_mini_decode_int8lin/s1_mini_decode_int8lin.aimodel/main.hash

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gpu-pipelined/s1_mini_decode_int8lin/s1_mini_decode_int8lin.aimodel/main.mlirb

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gpu-pipelined/s1_mini_decode_int8lin/s1_mini_decode_int8lin.aimodel/metadata.json

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+{
+  "creationDate" : "20260824T211143Z",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b2"
+}

gpu-pipelined/s1_mini_decode_int8lin/tokenizer/added_tokens.json

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+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
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+  "<|vision_pad|>": 151654,
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+}

gpu-pipelined/s1_mini_decode_int8lin/tokenizer/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].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" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if message.content is string %}
+        {%- set content = message.content %}
+    {%- else %}
+        {%- set content = '' %}
+    {%- endif %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|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 %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- 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' }}
+    {%- endif %}
+{%- endif %}

gpu-pipelined/s1_mini_decode_int8lin/tokenizer/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

gpu-pipelined/s1_mini_decode_int8lin/tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

gpu-pipelined/s1_mini_decode_int8lin/tokenizer/tokenizer_config.json

@@ -0,0 +1,239 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}