Publish qualified GPT-2 macOS Core AI bundle for Aether v0.0.6
Browse files- .gitattributes +1 -0
- LICENSE +24 -0
- NOTICE +11 -0
- README.md +85 -0
- mac/export-report.json +173 -0
- mac/language-model.json +28 -0
- mac/model.aimodel/main.hash +1 -0
- mac/model.aimodel/main.mlirb +3 -0
- mac/model.aimodel/metadata.json +5 -0
- mac/tokenizer/config.json +31 -0
- mac/tokenizer/generation_config.json +6 -0
- mac/tokenizer/merges.txt +0 -0
- mac/tokenizer/tokenizer.json +0 -0
- mac/tokenizer/tokenizer_config.json +1 -0
- mac/tokenizer/vocab.json +0 -0
- verification/export-report.json +173 -0
- verification/long-native.json +83 -0
- verification/long-reference.json +825 -0
- verification/qualification.json +172 -0
- verification/short-native.json +84 -0
- verification/short-reference.json +231 -0
.gitattributes
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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mac/model.aimodel/main.mlirb filter=lfs diff=lfs merge=lfs -text
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LICENSE
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Modified MIT License
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Software Copyright (c) 2019 OpenAI
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We don’t claim ownership of the content you create with GPT-2, so it is yours to do with as you please.
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We only ask that you use GPT-2 responsibly and clearly indicate your content was created using GPT-2.
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and
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associated documentation files (the "Software"), to deal in the Software without restriction,
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including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
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and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so,
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subject to the following conditions:
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The above copyright notice and this permission notice shall be included
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in all copies or substantial portions of the Software.
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The above copyright notice and this permission notice need not be included
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with content created by the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
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INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
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BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE
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OR OTHER DEALINGS IN THE SOFTWARE.
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NOTICE
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GPT-2 124M Core AI conversion for Aether Kit
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Upstream checkpoint: openai-community/gpt2
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Revision: 607a30d783dfa663caf39e06633721c8d4cfcd7e
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Original model/software: Copyright (c) 2019 OpenAI; Modified MIT License (LICENSE).
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Conversion tooling: Aether Kit, Apache-2.0
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https://github.com/bubstackdev/aether-kit
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Source commit: 20bbc96
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Architecture reference: Hugging Face Transformers 4.57.3 GPT-2 implementation, Apache-2.0.
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No instruction tuning or further model training was performed for this conversion.
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README.md
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---
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language:
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- en
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license: mit
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library_name: aether-kit
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pipeline_tag: text-generation
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base_model: openai-community/gpt2
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tags:
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- aether-kit
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- core-ai
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- gpt2
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- text-generation
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- experimental
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---
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# GPT-2 124M for Aether Kit
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A macOS Core AI conversion of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2),
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using upstream revision `607a30d783dfa663caf39e06633721c8d4cfcd7e`.
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Built with the GPT-2 port spike for Aether Kit v0.0.6, source commit
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[`20bbc96`](https://github.com/bubstackdev/aether-kit/commit/20bbc96).
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## Bundle
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`mac/` is an Aether language bundle: `language-model.json`, `model.aimodel/`,
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`tokenizer/`, and `export-report.json`. It requires Apple silicon and macOS 27
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with Core AI. There is no qualified iOS bundle in this repository.
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The model uses fp16 weights and KV caches, float32 scaled dot-product attention,
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and the bucketed cache contract. The maximum context is **1,024 tokens**, including
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prompt and generated tokens; the exported prefill bound is 64 tokens.
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GPT-2 is a base completion model without a chat template. Use plain text/token
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prompts with `AetherLanguageCoreAI.LanguageGenerationSession`; the chat facade
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reports `unsupportedTemplate`. This conversion adds no instruction tuning.
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```swift
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import AetherLanguageCoreAI
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import AetherLanguageTokenizers
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let tokenizer = try await LanguageTokenizer.open(bundle: bundle)
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let session = try await LanguageGenerationSession.open(bundle: bundle, platform: .macos)
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let result = try await session.generate(
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prompt: tokenizer.encode("The future of artificial intelligence is"),
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maximumTokens: 64)
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print(tokenizer.decode(result.tokens))
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await session.unload()
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```
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Download `mac/` at an immutable Hub commit and pass that local directory as
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`bundle`. A pinned Aether catalog entry is maintained in
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[`Spikes/gpt2/catalog-macos.json`](https://github.com/bubstackdev/aether-kit/blob/main/Spikes/gpt2/catalog-macos.json).
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The bundle's model SHA-256 is
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`f04fefaa3a7e69f3e4da783ce1ac5aef7f80e0bc70e441db452ec691e7429316`.
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## Qualification and limits
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Evidence is included under `verification/`; commands and architecture notes are in
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[`Spikes/gpt2`](https://github.com/bubstackdev/aether-kit/tree/main/Spikes/gpt2).
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The converter used Torch 2.11.0, Transformers 4.57.3 and coreai-torch 0.4.2.
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Tests ran on macOS build 26B123, Core AI device architecture `h17c`.
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- The float32 eager port matches all 64 reference argmax rows on both a six-token
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prompt and a 600-token prompt, under both running and bucketed cache contracts.
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- The full converted checkpoint passes its Core AI CPU logits/cache self-check.
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- Both registered-bundle native GPU cases pass Aether's fp16 numerical policy:
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per-row cosine >= 0.995; differing choices require a reference probability margin
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below 0.1 and a native choice within the reference top five. Prefill widths 7 and
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16 produce identical native continuations.
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- The 600-token prompt matches the full 64-token upstream greedy continuation.
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The short prompt has one near-tie among 64 teacher-forced rows and first diverges
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in free generation at token index 40: native rank 2, reference probability margin
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approximately 0.00139. This conversion does not promise bit-exact float32 output.
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This is an experimental v0.0.6 spike asset. Qualification covers these synthetic
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prompts on one Mac, not general task quality, every Apple device, or iOS.
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GPT-2 retains the capabilities and limitations described in its
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[upstream model card](https://huggingface.co/openai-community/gpt2).
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## License and provenance
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The original GPT-2 assets retain the Modified MIT terms in `LICENSE`,
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Copyright (c) 2019 OpenAI. `NOTICE` identifies conversion and architecture sources.
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The Aether Kit conversion tooling is Apache-2.0. This repository distributes a
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Core AI conversion and tokenizer assets; it is not an OpenAI-hosted model service.
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mac/export-report.json
ADDED
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{
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"schema": 1,
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"recipe": "gpt2-bucketed-v2",
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"contract": "bucketed",
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"exportedAt": "2026-11-02T17:57:52Z",
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"hostOS": "26B123",
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"versions": {
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| 8 |
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"torch": "2.11.0",
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"coreai-torch": "0.4.2",
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"coreai-core": "1.0.0b2"
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},
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"scriptSHA256": {
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| 13 |
+
"dense_decode.py": "1d8156015a4d8d4f57db114d67f3cd447b9b08a95d01986eeb8dacd599375e17",
|
| 14 |
+
"dense_families.py": "0412802eb1291352f2883bd9977adf2c616da108faf85c847ecea02a747e46fd",
|
| 15 |
+
"export_dense.py": "dc6f22fef2248791fc19431e135b68043b7c90dd8128dbed35a93780b644407b",
|
| 16 |
+
"export_gpt2.py": "cca87df8eb4050ecf8777ea2dc21a4e9441c0186663122677c5e293a0c924b49",
|
| 17 |
+
"export_granite_hybrid.py": "40e62b7f3f49ceaadfd6e0f0a59dfe0f437a5a016d02050c67eaefedb934fd04",
|
| 18 |
+
"export_olmo2.py": "6a85fc26702429c4d1cd1ac914e0ec847727984d4b9a1f800cb1fdbc3021c408",
|
| 19 |
+
"export_qwen3.py": "a314c09e89e6756dce1771693d47f2113911c6f2423cb5b76d566e8fb6446826",
|
| 20 |
+
"export_qwen3_vl_text.py": "6d06a39b2ed0b5eae5e24eb89db1d3ca28960da52805af76b7cf27d3dd2ebbf7",
|
| 21 |
+
"export_qwen3_vl_vision.py": "60149b5dfa0d2a971e0af834fc13a15957c957c72e95eaf172c6f31218e5828e",
|
| 22 |
+
"gpt2_decode.py": "360dade178dfac5bdef03efbdc800cfc9fc7fab1e249684cb5c8fffb1cb77f34",
|
| 23 |
+
"granite_hybrid.py": "afb235e8926d04e410f746ef7bd4ee0a97d5c135e5f472abf342912ded9c7330",
|
| 24 |
+
"olmo2_decode.py": "4f3ad03d399f8c095f7570a3b3c54f78d5f701fb9faa5200cadca5083ef752a1",
|
| 25 |
+
"probe_function_weights.py": "f06ec7b4ffd753d43c0111f6eeb91a0074de621632de00eac8683aae5beefc91",
|
| 26 |
+
"qwen3_decode.py": "43aee7983389fad450f6541e1c5ad9a37a086c4cab4015ef0888da36c07be527",
|
| 27 |
+
"qwen3_vl_divergence_margin.py": "4831dcab1b83c454efb730c2cb070ae8bcbcac8d3578a1995550b38b49b93da8",
|
| 28 |
+
"qwen3_vl_text.py": "69179d9e4397f81e81358c453a2e7d036ba1873f7b4042cf8d484909d9399986",
|
| 29 |
+
"qwen3_vl_vision.py": "dc5c594ff913009990a1dc014ae90f5bdb736c87176275c8eb6b524150908079",
|
| 30 |
+
"record_evidence.py": "bb1b30030da2ea0e1e4c8115c9b3edf96c9dadc4d74e6941227a2bd7d230299b",
|
| 31 |
+
"record_vision_evidence.py": "5b18c6c34a6e3de4834aed45a1d46a97f4d92695b28116e909e2b1f8f0ce3aa2",
|
| 32 |
+
"record_vl_evidence.py": "bc82ba4f5be871ba217d449a4e441368214c3b3250be295f7b910ccab2f5e34e",
|
| 33 |
+
"reference_chat_tokens.py": "c9d4f556d2c8afa887b88a147650e717d192edb3eca5046ea181020bdb49c394",
|
| 34 |
+
"reference_dense.py": "778aab3f04fe0c02babf738f44c609f0c2964ba6408eaf64caf4f585af77921b",
|
| 35 |
+
"reference_gpt2.py": "80e85fcf20bedd31945ce234884587f3dd90ca9c1320d83f8390885e3ca5c36e",
|
| 36 |
+
"reference_granite_hybrid.py": "7771ba220d0db36251012cdadefbe71f1841f93a19eb17ec620863c4f2244561",
|
| 37 |
+
"reference_olmo2.py": "cf105c1be1ccda1f715af9fe774be9b199f6ffdfe99f4e8ad2aba1e8990bee0b",
|
| 38 |
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ADDED
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mac/tokenizer/config.json
ADDED
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@@ -0,0 +1,31 @@
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|
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mac/tokenizer/generation_config.json
ADDED
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mac/tokenizer/tokenizer_config.json
ADDED
|
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verification/export-report.json
ADDED
|
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verification/long-native.json
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verification/long-reference.json
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|
| 1 |
+
{
|
| 2 |
+
"schema": 1,
|
| 3 |
+
"kind": "gpt2-cpu-reference",
|
| 4 |
+
"oracle": "transformers AutoModelForCausalLM, float32, CPU",
|
| 5 |
+
"source": {
|
| 6 |
+
"repository": "openai-community/gpt2",
|
| 7 |
+
"revision": "607a30d783dfa663caf39e06633721c8d4cfcd7e",
|
| 8 |
+
"license": "mit"
|
| 9 |
+
},
|
| 10 |
+
"versions": {
|
| 11 |
+
"torch": "2.11.0",
|
| 12 |
+
"transformers": "4.57.3"
|
| 13 |
+
},
|
| 14 |
+
"scriptSHA256": {
|
| 15 |
+
"dense_decode.py": "1d8156015a4d8d4f57db114d67f3cd447b9b08a95d01986eeb8dacd599375e17",
|
| 16 |
+
"dense_families.py": "0412802eb1291352f2883bd9977adf2c616da108faf85c847ecea02a747e46fd",
|
| 17 |
+
"export_dense.py": "dc6f22fef2248791fc19431e135b68043b7c90dd8128dbed35a93780b644407b",
|
| 18 |
+
"export_gpt2.py": "cca87df8eb4050ecf8777ea2dc21a4e9441c0186663122677c5e293a0c924b49",
|
| 19 |
+
"export_granite_hybrid.py": "40e62b7f3f49ceaadfd6e0f0a59dfe0f437a5a016d02050c67eaefedb934fd04",
|
| 20 |
+
"export_olmo2.py": "6a85fc26702429c4d1cd1ac914e0ec847727984d4b9a1f800cb1fdbc3021c408",
|
| 21 |
+
"export_qwen3.py": "a314c09e89e6756dce1771693d47f2113911c6f2423cb5b76d566e8fb6446826",
|
| 22 |
+
"export_qwen3_vl_text.py": "6d06a39b2ed0b5eae5e24eb89db1d3ca28960da52805af76b7cf27d3dd2ebbf7",
|
| 23 |
+
"export_qwen3_vl_vision.py": "60149b5dfa0d2a971e0af834fc13a15957c957c72e95eaf172c6f31218e5828e",
|
| 24 |
+
"gpt2_decode.py": "360dade178dfac5bdef03efbdc800cfc9fc7fab1e249684cb5c8fffb1cb77f34",
|
| 25 |
+
"granite_hybrid.py": "afb235e8926d04e410f746ef7bd4ee0a97d5c135e5f472abf342912ded9c7330",
|
| 26 |
+
"olmo2_decode.py": "4f3ad03d399f8c095f7570a3b3c54f78d5f701fb9faa5200cadca5083ef752a1",
|
| 27 |
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verification/qualification.json
ADDED
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@@ -0,0 +1,172 @@
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{
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verification/short-native.json
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@@ -0,0 +1,84 @@
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verification/short-reference.json
ADDED
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| 1 |
+
{
|
| 2 |
+
"schema": 1,
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| 3 |
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"kind": "gpt2-cpu-reference",
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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| 59 |
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