ears: Whisper tiny and base ggml weights beside the eye, with the phone-1 parity note

Co-Authored-By: Claude (Arianna Method, Defender) <theariannamethod@gmail.com>
Coordinated with Oleg Ataeff (maintainer)

README.md

@@ -55,3 +55,21 @@ objects from the description; Q6_K and Q8_0 reproduced the same sentence.
 
 Other VLMs as alternative eyes for the same organ are planned; they will land in
 sibling folders with the same measurement table.
+
+## ears/ — the hearing
+
+`ears` is whisper on notorch: a C organ that loads OpenAI Whisper weights in
+ggerganov's flat ggml format and transcribes 16 kHz mono wav with greedy decoding.
+Its gate is parity with whisper.cpp: on phone-1 the log-mel is bit-identical, and
+the transcripts of `jfk.wav` and of the same sentence re-recorded through the
+phone microphone match token for token on both models below. Encoder outputs
+differ by up to 4.9e-2 (mean 2.2e-4) because whisper.cpp keeps attention in f16.
+
+| file | params | size | origin |
+|---|---|---|---|
+| `ggml-tiny.bin` | 39M, multilingual | 78 MB | OpenAI Whisper tiny, ggml conversion from whisper.cpp `models/download-ggml-model.sh` |
+| `ggml-base.bin` | 74M, multilingual | 148 MB | OpenAI Whisper base, same |
+
+Measured on phone-1, cores 4-7, four threads, `jfk.wav`: `ears` tiny 4.2 s wall,
+131 MB peak RSS. Whisper weights are MIT-licensed by OpenAI; `SHA256SUMS.txt`
+in the folder lists both files.

ears/SHA256SUMS.txt

@@ -0,0 +1,2 @@
+60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe  ggml-base.bin
+be07e048e1e599ad46341c8d2a135645097a538221678b7acdd1b1919c6e1b21  ggml-tiny.bin

ears/ggml-base.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe
+size 147951465

ears/ggml-tiny.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be07e048e1e599ad46341c8d2a135645097a538221678b7acdd1b1919c6e1b21
+size 77691713