Publish CoEdIT Base LiteRT INT8 conversion

LICENSE

@@ -0,0 +1,202 @@
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NOTICE

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+CoEdIT Base LiteRT INT8 conversion
+
+This distribution is a converted and quantized form of jbochi/coedit-base:
+https://huggingface.co/jbochi/coedit-base
+
+The source model is a fine-tuned version of google/flan-t5-base on the CoEdIT
+dataset. The conversion uses separate LiteRT encoder and decoder graphs with
+INT8 dynamic-range quantization. It is not an official release from the
+upstream model author, Google, or Grammarly.
+

README.md

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+---
+license: apache-2.0
+language:
+  - en
+library_name: litert
+pipeline_tag: text2text-generation
+tags:
+  - coedit
+  - flan-t5
+  - litert
+  - tflite
+  - int8
+  - grammar-correction
+  - text-rewriting
+base_model: jbochi/coedit-base
+---
+
+# CoEdIT Base LiteRT INT8
+
+Split encoder/decoder LiteRT (`.tflite`) conversion of
+[`jbochi/coedit-base`](https://huggingface.co/jbochi/coedit-base), intended for
+fully local text editing in browsers, extensions, and native LiteRT clients.
+This is an independently produced conversion, not an official release from
+the upstream model author or Grammarly.
+
+## Model details
+
+| Property | Value |
+| --- | --- |
+| Source checkpoint | `jbochi/coedit-base` |
+| Architecture | FLAN-T5 Base fine-tuned on CoEdIT |
+| Format | Split LiteRT/TFLite encoder and decoder |
+| Quantization | INT8 dynamic range |
+| Maximum sequence length | 256 tokens |
+| Maximum configured output | 64 tokens |
+| Encoder size | 109,978,728 bytes |
+| Decoder size | 166,428,952 bytes |
+| Graph total | 276,407,680 bytes |
+
+The encoder state is computed once and reused during autoregressive decoder
+steps. Tensor names, task prefixes, sizes, and SHA-256 checksums are recorded
+in `manifest.json`.
+
+## Files
+
+- `encoder.tflite`: quantized encoder graph
+- `decoder.tflite`: quantized autoregressive decoder graph
+- `tokenizer.json`: tokenizer vocabulary and model
+- `tokenizer_config.json` and `special_tokens_map.json`: tokenizer metadata
+- `manifest.json`: runtime contract and integrity metadata
+
+## Instruction prefixes
+
+```text
+Fix grammatical errors in this sentence: <text>
+Make the sentence formal: <text>
+Change the style to casual: <text>
+Make the sentence simpler: <text>
+Paraphrase the sentence: <text>
+```
+
+## Runtime integration
+
+Load the two graphs with LiteRT, tokenize to the fixed 256-token input shape,
+run the encoder once, and feed its hidden states plus the decoder token buffer
+to the decoder for each generated token. Consult `manifest.json` for the exact
+tensor contract and EOS/padding IDs.
+
+## Limitations
+
+- Browser CPU/WASM autoregressive decoding can be slow, particularly for long
+  rewrites. WebGPU or a native LiteRT runtime is recommended when available.
+- Dynamic-range quantization can change outputs relative to the source model.
+- Output should be reviewed before use; the model may omit, add, or alter
+  meaning.
+- The graphs use fixed-size tensors and are not a Transformers checkpoint.
+
+## License and attribution
+
+The source model is published under Apache License 2.0. This converted form is
+distributed under the same license; see `LICENSE` and `NOTICE`.
+
+- Source: https://huggingface.co/jbochi/coedit-base
+- Upstream base: https://huggingface.co/google/flan-t5-base
+- CoEdIT paper: https://arxiv.org/abs/2305.09857
+

decoder.tflite

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+oid sha256:07c4036983dad2148804911b5d1e476f8c4b6ad949c48a3db4301f8b8d0a0cbe
+size 166428952

encoder.tflite

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+oid sha256:fdb914d3b7983edb7fb8b312ecd8f3a3c9caedc5662d3f0ef4474068c31ae300
+size 109978728

manifest.json

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+{
+  "schemaVersion": 1,
+  "modelId": "coedit-base",
+  "version": "1.0.0-int8",
+  "language": "en",
+  "modelUrl": "model.tflite",
+  "modelSha256": "07c4036983dad2148804911b5d1e476f8c4b6ad949c48a3db4301f8b8d0a0cbe",
+  "modelSizeBytes": 276407680,
+  "tokenizer": {
+    "type": "custom-json",
+    "url": "tokenizer.json",
+    "sha256": "4d4b21a8cc7c0407dafd8ac6215269cd05c8e49a521c3580479b567879526160",
+    "sizeBytes": 2422234
+  },
+  "inputContract": {
+    "maxSequenceLength": 256,
+    "tensorNames": [
+      "input_ids",
+      "attention_mask",
+      "decoder_input_ids"
+    ],
+    "tensorTypes": [
+      "int32",
+      "int32",
+      "int32"
+    ],
+    "prefix": "Fix grammatical errors in this sentence: ",
+    "taskPrefixes": {
+      "grammar": "Fix grammatical errors in this sentence: ",
+      "formal": "Make the sentence formal: ",
+      "casual": "Change the style to casual: ",
+      "simplify": "Make the sentence simpler: ",
+      "paraphrase": "Paraphrase the sentence: "
+    }
+  },
+  "outputContract": {
+    "type": "token-logits",
+    "eosTokenId": 1,
+    "padTokenId": 0,
+    "maxOutputLength": 64
+  },
+  "minimumExtensionVersion": "0.1.0",
+  "license": "Apache-2.0",
+  "source": "https://huggingface.co/jbochi/coedit-base",
+  "encoderUrl": "encoder.tflite",
+  "decoderUrl": "decoder.tflite",
+  "encoderSha256": "fdb914d3b7983edb7fb8b312ecd8f3a3c9caedc5662d3f0ef4474068c31ae300",
+  "decoderSha256": "07c4036983dad2148804911b5d1e476f8c4b6ad949c48a3db4301f8b8d0a0cbe",
+  "encoderSizeBytes": 109978728,
+  "decoderSizeBytes": 166428952
+}

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
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+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
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+    "lstrip": false,
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+    "rstrip": false,
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+  }
+}

tokenizer_config.json

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+{
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+      "normalized": false,
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