T3: speech tokens as CONTROL (special) vocab; BOS/EOS = start/stop_speech_token

README.md

@@ -32,9 +32,11 @@ two runtimes.
 `t3-<quant>.gguf` is a stock `llama` arch GGUF holding only T3's
 30-layer Llama backbone (hidden 1024, MLP 4096, 16 heads, RoPE θ=10000)
 plus the speech-side embedding/head (`speech_emb` → `token_embd`,
-`speech_head` → `output`). Vocabulary is `no_vocab` — speech tokens are
-integer IDs `0..8193`, fed to the model directly via the API rather than
-through a text tokenizer.
+`speech_head` → `output`). The vocabulary contains 8194 entries
+(`<|speech_0|>` … `<|speech_8193|>`), every one marked as a `CONTROL`
+(special) token so llama.cpp's sampler / stop / grammar paths recognise
+each speech ID. `BOS = 6561` (`start_speech_token`), `EOS = 6562`
+(`stop_speech_token`); add_bos / add_eos default to false.
 
 | File              | Size    |
 | ----------------- | ------- |

t3-f16.gguf

@@ -1,3 +1,3 @@
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+oid sha256:2409e253de350c3f47d59dbfa9b2a27aab9a9f1c834e96e1048ba73a55127ac3
+size 1040715552

t3-f32.gguf

@@ -1,3 +1,3 @@
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+oid sha256:977f8d0770d511f65ec73e3cf8c48750dd0c6a1ed894c11f3e15a15de362b4fe
+size 2080911136

t3-q4_k_m.gguf

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+oid sha256:cca0ae4361e10d38f7efe81d21de95961ade96ef5851113e170b15c6d60e5dc1
+size 314161792

t3-q5_k_m.gguf

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+oid sha256:b53f36aa71a9e9c5aa25a1cea93273c235f22b21deaf12d200762d978e5c207b
+size 368950144

t3-q8_0.gguf

@@ -1,3 +1,3 @@
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