Add macos-int8/: re-export with apple/coreai-models 97a14be (gate vs fp32 PASS; see MANIFEST.json)

.gitattributes

@@ -49,3 +49,10 @@ 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-int8/TextEncoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-int8/Transformer.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-int8/VAEDecoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-int8/VAEDecoder_half.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-int8/VAEEncoder.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-int8/VAEEncoder_half.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
+macos-int8/tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text

macos-int8/MANIFEST.json

@@ -0,0 +1,183 @@
+{
+  "folder": "macos-int8",
+  "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 \"$(cat int8-block32.json)\"",
+  "compression_config": {
+    "execution_mode": "eager",
+    "global_config": {
+      "op_state_spec": {
+        "weight": {
+          "dtype": "int8",
+          "qscheme": "symmetric_with_clipping",
+          "granularity": {
+            "type": "per_block",
+            "block_size": 32
+          }
+        }
+      },
+      "op_input_spec": null,
+      "op_output_spec": null
+    },
+    "module_type_configs": {
+      "diffusers.models.normalization.RMSNorm": null,
+      "transformers.models.qwen3.modeling_qwen3.Qwen3RMSNorm": null,
+      "transformers.models.gemma2.modeling_gemma2.Gemma2RMSNorm": null,
+      "transformers.models.umt5.modeling_umt5.UMT5LayerNorm": null
+    }
+  },
+  "weights": "int8 per-block 32 (symmetric_with_clipping, weight-only) on the text encoder and the transformer, VAEs float16; float16 compute; one multi-function transformer with 8 entrypoints",
+  "gate": "PASS at 0.99: (i) text encoder mean token cos 0.9928-0.9948 over 4 prompts; (ii) transformer step-1 output cos 0.99981, rel-L2 0.019; (iii) VAE decoder 65.5 dB; end-to-end seed-42 image vs fp32 diffusers 23.3 dB",
+  "speed": "11.60 s per 1024x1024 image, 4 steps (median of 4 warm runs, 11.57-11.64 s), M4 Max, sample app",
+  "files": [
+    {
+      "path": "TextEncoder.aimodel/main.hash",
+      "bytes": 32,
+      "sha256": "8558b1f4aa801f5b1bd39d2b0fb1634172f10783f391253bb6fd974de2831295"
+    },
+    {
+      "path": "TextEncoder.aimodel/main.mlirb",
+      "bytes": 3309658432,
+      "sha256": "799fd1b013228a5881b1a8c76ffa7fb7d8d32cf9ae3bc934ceb3576cb83f3ed1"
+    },
+    {
+      "path": "TextEncoder.aimodel/metadata.json",
+      "bytes": 396,
+      "sha256": "969df49030383b607c5a88f3695fad60a111e3295996b39d9cad9193a77f5708"
+    },
+    {
+      "path": "Transformer.aimodel/main.hash",
+      "bytes": 32,
+      "sha256": "a8c9131a181c96cef60cb50c7b34789a8d91d9f9deeb2390e789feb3b3171550"
+    },
+    {
+      "path": "Transformer.aimodel/main.mlirb",
+      "bytes": 4119647410,
+      "sha256": "d12cf93fdc95b18c34ab25f6e1d856b0408128c49f1988ab70e965c940834cbd"
+    },
+    {
+      "path": "Transformer.aimodel/metadata.json",
+      "bytes": 396,
+      "sha256": "961fef07fe7e46edee339d7dae66ac4d9365a0131602ed2d00068211c885883a"
+    },
+    {
+      "path": "VAEDecoder.aimodel/main.hash",
+      "bytes": 32,
+      "sha256": "14ca6ebaa0108a4a26896f0db10447cb765534654f0087259be485062b984699"
+    },
+    {
+      "path": "VAEDecoder.aimodel/main.mlirb",
+      "bytes": 99294687,
+      "sha256": "b1f1b3aa14d5a72cd02ccdb8df05597bd1621a321971df8403fc602833d23cd7"
+    },
+    {
+      "path": "VAEDecoder.aimodel/metadata.json",
+      "bytes": 395,
+      "sha256": "8a1b1e691e799952d18ef4f887af42ca51ca57cef8e567eb1cdd6db3d64f07ed"
+    },
+    {
+      "path": "VAEDecoder_half.aimodel/main.hash",
+      "bytes": 32,
+      "sha256": "096cee4815cb7064914eb682d0f788e8016decf97805f3e72aa39f6374465ef7"
+    },
+    {
+      "path": "VAEDecoder_half.aimodel/main.mlirb",
+      "bytes": 99294656,
+      "sha256": "df1fe1fcba7da422fc0ddaac630f7fa27acc026ff1e06a826cb39ba3f01503c1"
+    },
+    {
+      "path": "VAEDecoder_half.aimodel/metadata.json",
+      "bytes": 400,
+      "sha256": "dd3d34c9da967af052f23d0b61fe60ceac8a5bceb2c624c4ed34b17e5f7058b9"
+    },
+    {
+      "path": "VAEEncoder.aimodel/main.hash",
+      "bytes": 32,
+      "sha256": "446e22e029653e213bd7279250da74ce94c0ab6cf8511910bf05dbc04e6acb39"
+    },
+    {
+      "path": "VAEEncoder.aimodel/main.mlirb",
+      "bytes": 68896263,
+      "sha256": "4a8c6a2e9b8b279c79561212aebe9fcba7370e1207a4cc8f638cdfc47181b28f"
+    },
+    {
+      "path": "VAEEncoder.aimodel/metadata.json",
+      "bytes": 395,
+      "sha256": "41ea40a3da58ec39c02e7477372a09641ae678cce79439260ae251fe5439cdab"
+    },
+    {
+      "path": "VAEEncoder_half.aimodel/main.hash",
+      "bytes": 32,
+      "sha256": "24f75f2701037b134fe477a11ef59b5c01dbb35b8364ffdad4dfdec82a852305"
+    },
+    {
+      "path": "VAEEncoder_half.aimodel/main.mlirb",
+      "bytes": 68896248,
+      "sha256": "93106dda09eb405580199f8bc235d53f52920d132065b3fec0c73b4fe7e4099f"
+    },
+    {
+      "path": "VAEEncoder_half.aimodel/metadata.json",
+      "bytes": 400,
+      "sha256": "63edab11ef710d82eb422f6deed9c8c69b04b65b954baa131da4f753264acaf6"
+    },
+    {
+      "path": "metadata.json",
+      "bytes": 1549,
+      "sha256": "a3a2afa5fd4cc185b6875f8a67306756694c8487710e69a0df1e6b879cef9ddb"
+    },
+    {
+      "path": "tokenizer/chat_template.jinja",
+      "bytes": 4168,
+      "sha256": "a55ee1b1660128b7098723e0abcd92caa0788061051c62d51cbe87d9cf1974d8"
+    },
+    {
+      "path": "tokenizer/config.json",
+      "bytes": 375,
+      "sha256": "b3f99a222a3edef3a756b61f6a67ada791c631aba983c13f59cb45aa9f6fb5f4"
+    },
+    {
+      "path": "tokenizer/tokenizer.json",
+      "bytes": 11422650,
+      "sha256": "be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506"
+    },
+    {
+      "path": "tokenizer/tokenizer_config.json",
+      "bytes": 375,
+      "sha256": "b3f99a222a3edef3a756b61f6a67ada791c631aba983c13f59cb45aa9f6fb5f4"
+    },
+    {
+      "path": "vae_bn_mean.npy",
+      "bytes": 640,
+      "sha256": "b2e3b98b3b1483e4573093d41b9e3890627724c7c0bfaa215ba1e2ef151b6d09"
+    },
+    {
+      "path": "vae_bn_var.npy",
+      "bytes": 640,
+      "sha256": "9418da87092c06ffb4f72402e3c3d142b671878f6cea5e8da3c547befbd64861"
+    }
+  ],
+  "file_count": 25,
+  "total_bytes": 7777120667,
+  "text_to_image_files": [
+    "metadata.json",
+    "tokenizer/chat_template.jinja",
+    "tokenizer/config.json",
+    "tokenizer/tokenizer.json",
+    "tokenizer/tokenizer_config.json",
+    "vae_bn_mean.npy",
+    "vae_bn_var.npy",
+    "VAEDecoder.aimodel/main.hash",
+    "VAEDecoder.aimodel/metadata.json",
+    "VAEDecoder.aimodel/main.mlirb",
+    "TextEncoder.aimodel/main.hash",
+    "TextEncoder.aimodel/metadata.json",
+    "TextEncoder.aimodel/main.mlirb",
+    "Transformer.aimodel/main.hash",
+    "Transformer.aimodel/metadata.json",
+    "Transformer.aimodel/main.mlirb"
+  ],
+  "text_to_image_bytes": 7540032209
+}

macos-int8/TextEncoder.aimodel/main.hash

@@ -0,0 +1 @@
+y�Ѱ"�X����o����,��;�4γWl�?>�

macos-int8/TextEncoder.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:799fd1b013228a5881b1a8c76ffa7fb7d8d32cf9ae3bc934ceb3576cb83f3ed1
+size 3309658432

macos-int8/TextEncoder.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "creationDate" : "20261009T205211Z",
+  "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.",
+  "license" : "Apache-2.0",
+  "author" : "Black Forest Labs",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3"
+}

macos-int8/Transformer.aimodel/main.hash

@@ -0,0 +1 @@
+�,�?ܕ��4�%���V�@�(ğ��p�e�@�L�

macos-int8/Transformer.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d12cf93fdc95b18c34ab25f6e1d856b0408128c49f1988ab70e965c940834cbd
+size 4119647410

macos-int8/Transformer.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "creationDate" : "20261009T205134Z",
+  "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.",
+  "license" : "Apache-2.0",
+  "author" : "Black Forest Labs",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3"
+}

macos-int8/VAEDecoder.aimodel/main.hash

@@ -0,0 +1 @@
+��է,�,͸�Y{�b2q߄�`(3�<�

macos-int8/VAEDecoder.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1f1b3aa14d5a72cd02ccdb8df05597bd1621a321971df8403fc602833d23cd7
+size 99294687

macos-int8/VAEDecoder.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "creationDate" : "20261009T205213Z",
+  "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.",
+  "license" : "Apache-2.0",
+  "author" : "Black Forest Labs",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3"
+}

macos-int8/VAEDecoder_half.aimodel/main.hash

@@ -0,0 +1 @@
+����}�"�

macos-int8/VAEDecoder_half.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df1fe1fcba7da422fc0ddaac630f7fa27acc026ff1e06a826cb39ba3f01503c1
+size 99294656

macos-int8/VAEDecoder_half.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "creationDate" : "20261009T205214Z",
+  "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_half component.",
+  "license" : "Apache-2.0",
+  "author" : "Black Forest Labs",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3"
+}

macos-int8/VAEEncoder.aimodel/main.hash

@@ -0,0 +1 @@
+J�j.��'�yV���˧7�̏c���q���

macos-int8/VAEEncoder.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a8c6a2e9b8b279c79561212aebe9fcba7370e1207a4cc8f638cdfc47181b28f
+size 68896263

macos-int8/VAEEncoder.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "creationDate" : "20261009T205213Z",
+  "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.",
+  "license" : "Apache-2.0",
+  "author" : "Black Forest Labs",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3"
+}

macos-int8/VAEEncoder_half.aimodel/main.hash

@@ -0,0 +1 @@
+�m�	�@U����5�?R�

macos-int8/VAEEncoder_half.aimodel/main.mlirb

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93106dda09eb405580199f8bc235d53f52920d132065b3fec0c73b4fe7e4099f
+size 68896248

macos-int8/VAEEncoder_half.aimodel/metadata.json

@@ -0,0 +1,8 @@
+{
+  "creationDate" : "20261009T205215Z",
+  "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_half component.",
+  "license" : "Apache-2.0",
+  "author" : "Black Forest Labs",
+  "assetVersion" : "2.0",
+  "producer" : "coreai-core 1.0.0b3"
+}

macos-int8/metadata.json

@@ -0,0 +1,41 @@
+{
+  "metadata_version": "0.2",
+  "kind": "diffusion",
+  "name": "FLUX.2-klein-4B",
+  "assets": {
+    "transformer": "Transformer.aimodel",
+    "text_encoder": "TextEncoder.aimodel",
+    "vae_decoder": "VAEDecoder.aimodel",
+    "vae_encoder": "VAEEncoder.aimodel",
+    "vae_decoder_half": "VAEDecoder_half.aimodel",
+    "vae_encoder_half": "VAEEncoder_half.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": "{\"execution_mode\": \"eager\",\n \"global_config\": {\"op_state_spec\": {\"weight\": {\"dtype\": \"int8\", \"qscheme\": \"symmetric_with_clipping\", \"granularity\": {\"type\": \"per_block\", \"block_size\": 32}}}, \"op_input_spec\": null, \"op_output_spec\": null},\n \"module_type_configs\": {\"diffusers.models.normalization.RMSNorm\": null, \"transformers.models.qwen3.modeling_qwen3.Qwen3RMSNorm\": null, \"transformers.models.gemma2.modeling_gemma2.Gemma2RMSNorm\": null, \"transformers.models.umt5.modeling_umt5.UMT5LayerNorm\": null}}",
+  "compilation": {
+    "date": "2026-10-10T05:52:15.426099+09:00",
+    "targets": []
+  }
+}

macos-int8/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-int8/tokenizer/config.json

@@ -0,0 +1,15 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "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
+}

macos-int8/tokenizer/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

macos-int8/tokenizer/tokenizer_config.json

@@ -0,0 +1,15 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "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
+}

macos-int8/vae_bn_mean.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2e3b98b3b1483e4573093d41b9e3890627724c7c0bfaa215ba1e2ef151b6d09
+size 640

macos-int8/vae_bn_var.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9418da87092c06ffb4f72402e3c3d142b671878f6cea5e8da3c547befbd64861
+size 640