Add macos-fp16/: re-export with apple/coreai-models 97a14be (gate vs fp32 PASS; see MANIFEST.json)

.gitattributes

@@ -44,3 +44,8 @@ VAEEncoder_half.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
 Transformer_edit.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
 Transformer_edit_512.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
 Transformer_edit_2ref.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-fp16/TextEncoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-fp16/Transformer.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-fp16/VAEDecoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-fp16/VAEEncoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-fp16/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

macos-fp16/MANIFEST.json

@@ -0,0 +1,131 @@
+{
+  "folder": "macos-fp16",
+  "hf_repo": "mlboydaisuke/FLUX.2-klein-4B-CoreAI",
+  "source": "black-forest-labs/FLUX.2-klein-4B @ e7b7dc27f91deacad38e78976d1f2b499d76a294",
+  "exporter": "apple/coreai-models @ 97a14be40bb1c5b95badb08b8532530443d62d26 (2026-10-09), coreai-core 1.0.0b3, coreai-torch 0.4.3, coreai-opt 0.3.0, torch 2.9.0, diffusers 0.37.1",
+  "runtime": "apple/coreai-models 97a14be Swift FlowTransformerPipeline, macOS 27.0 (26A428), GPU",
+  "gate_reference": "fp32 PyTorch (diffusers Flux2KleinPipeline through upstream's export wrappers, MPS); inputs built the way the Swift pipeline builds them; 4 prompts, seed 42",
+  "export_command": "uv run coreai.diffusion.export flux2-klein-4b --platform macOS --compression none --single-function --resolution 1024",
+  "weights": "float16 (no quantization), float16 compute; one asset per graph (single-function, 1024)",
+  "left_out": "Transformer_img2img_full.aimodel (the 1024 img2img transformer of the same export): this folder runs text-to-image only",
+  "gate": "PASS at 0.999: (i) text encoder mean token cos 0.99966-0.99995 over 4 prompts; (ii) transformer step-1 output cos 0.999987, rel-L2 0.0051; (iii) VAE decoder 65.5 dB; end-to-end seed-42 image vs fp32 diffusers 31.0 dB",
+  "speed": "10.88 s per 1024x1024 image, 4 steps (median of 4 warm runs, 10.86-10.92 s), M4 Max, sample app",
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macos-fp16/TextEncoder.aimodel/metadata.json

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+  "license" : "Apache-2.0",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3",
+  "author" : "Black Forest Labs",
+  "description" : "FLUX.2 [klein] 4B is a distilled, open-weights text-to-image rectified-flow transformer from Black Forest Labs. Source: https:\/\/huggingface.co\/black-forest-labs\/FLUX.2-klein-4B — TextEncoder component.",
+  "creationDate" : "20261009T205251Z"
+}

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+  "producer" : "coreai-core 1.0.0b3",
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+  "description" : "FLUX.2 [klein] 4B is a distilled, open-weights text-to-image rectified-flow transformer from Black Forest Labs. Source: https:\/\/huggingface.co\/black-forest-labs\/FLUX.2-klein-4B — Transformer component.",
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macos-fp16/VAEDecoder.aimodel/metadata.json

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+  "author" : "Black Forest Labs",
+  "license" : "Apache-2.0",
+  "creationDate" : "20261009T205254Z",
+  "description" : "FLUX.2 [klein] 4B is a distilled, open-weights text-to-image rectified-flow transformer from Black Forest Labs. Source: https:\/\/huggingface.co\/black-forest-labs\/FLUX.2-klein-4B — VAEDecoder component.",
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macos-fp16/VAEEncoder.aimodel/main.hash

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macos-fp16/VAEEncoder.aimodel/metadata.json

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+{
+  "author" : "Black Forest Labs",
+  "license" : "Apache-2.0",
+  "creationDate" : "20261009T205255Z",
+  "description" : "FLUX.2 [klein] 4B is a distilled, open-weights text-to-image rectified-flow transformer from Black Forest Labs. Source: https:\/\/huggingface.co\/black-forest-labs\/FLUX.2-klein-4B — VAEEncoder component.",
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+}

macos-fp16/metadata.json

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+{
+  "metadata_version": "0.2",
+  "kind": "diffusion",
+  "name": "FLUX.2-klein-4B",
+  "assets": {
+    "transformer": "Transformer.aimodel",
+    "transformer_img2img_full": "Transformer_img2img_full.aimodel",
+    "text_encoder": "TextEncoder.aimodel",
+    "vae_decoder": "VAEDecoder.aimodel",
+    "vae_encoder": "VAEEncoder.aimodel"
+  },
+  "diffusion": {
+    "type": "flux2",
+    "prediction_type": "flow_matching",
+    "encoder_scale_factor": 1.0,
+    "decoder_scale_factor": 1.0,
+    "decoder_shift_factor": 0.0,
+    "batch_norm_eps": 0.0001,
+    "guidance_embeds": false,
+    "image_size": 1024,
+    "default_guidance_scale": 1.0,
+    "default_steps": 4,
+    "rope_axes_dims": [
+      32,
+      32,
+      32,
+      32
+    ],
+    "rope_theta": 2000
+  },
+  "source": {
+    "model_definition": "torch",
+    "hf_model_id": "black-forest-labs/FLUX.2-klein-4B"
+  },
+  "compression": null,
+  "compilation": {
+    "date": "2026-10-10T05:52:55.418637+09:00",
+    "targets": []
+  }
+}

macos-fp16/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 %}

macos-fp16/tokenizer/config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": null
+}

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macos-fp16/tokenizer/tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
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+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": null
+}

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