Card: what this port does, and what it leaves out

README.md

@@ -29,6 +29,28 @@ its thirteen outputs) and the candidate scorer; the host's pool and decoders bet
 | `gliner2_base_scorer_fp32.tflite` | 2.1 MB | scorer, FP32 |
 | `gliner2_base_embeddings_f16.bin` | 197 MB | float16 [128011, 768], little-endian, row-major |
 
+## What this port does, and what it leaves out
+
+The original checkpoint has an encoder, a boundary head, a classifier, a record decoder and a relation scorer. This
+port exports the encoder, a head graph (the boundary head's extraction outputs, the null and count outputs and the
+classifier's choice logits) and the candidate scorer. The host runs the library's candidate pool and decoding between
+and after them.
+
+- **Entities**, as `extract_entities` returns them: labels with descriptions, thresholds, and the null head's
+  abstention.
+- **Classification**, as `classify_text`: up to 8 choices.
+- **Structures whose fields are plain spans**, as `extract_json` returns them through the library's structure decoder
+  without record mode.
+- These three were validated on 2,521 recorded calls (see Validation).
+- **Not available:** relation extraction (`extract_relations`; the original's `relation_scorer`) and record-mode
+  structures (the `record_decoder`, which groups fields into several records), nor the explicit-span head of
+  FluidInference's Core ML port. Requests that need them cannot run on this port.
+- **Fixed sizes:** one call holds at most 128 subword tokens (prompt and text), 64 text words, 8 queries (entity labels
+  or structure fields) and 8 classification choices, with a candidate pool of 192. The host refuses larger requests
+  rather than truncating them. The original runs with dynamic shapes, so long texts and large label sets need several
+  calls here.
+- **Weights:** only their storage and compute precision change (see the file table); nothing is retrained or pruned.
+
 ## Validation (Mac, not a phone)
 
 2,521 base-v1 calls recorded from the gliner2 2.0.0 library on a synthetic English corpus of short conversational statements

SHA256SUMS

@@ -1,6 +1,6 @@
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 5d22fdeddc1ceccba0576afa514f74b43411afe769562ad1ac480c529d7cf0a1  NOTICE.txt
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+c61268a2b9b76631c2c630a2cf626242a753983211f2bd305aa7300955a6253c  README.md
 4c7cc23f44739e7a2633861f820df1576ffe9456d0613916f602ffbcf44f2fda  config.json
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