v75 (Galaxy S24 / SM8650, soc_model 57): Qwen3.5-2B W8-decode bundle — Plane A 6/6, 10.5 tok/s
#2
by flying101 - opened
- .gitattributes +1 -0
- v75/qwen3.5-2b-1024.json +65 -0
- v75/qwen352b_decode_w8.bin +3 -0
- v75/qwen352b_embed_f16.bin +3 -0
- v75/qwen352b_lmhead_f16.bin +3 -0
- v75/tokenizer.json +3 -0
.gitattributes
CHANGED
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@@ -36,3 +36,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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v81/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v81-w8/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v79/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v81/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v81-w8/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v79/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v75/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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v75/qwen3.5-2b-1024.json
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@@ -0,0 +1,65 @@
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{
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"schema_version": 1,
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"_comment": "Qwen3.5 (qwen3_5) GatedDeltaNet hybrid TEXT decoder for v81. Most layers are a recurrent gated delta-rule linear attention (+ short conv state), 1-in-4 is gated softmax attention (partial-rotary M-RoPE, output gate). Decode-over-prompt seed; W8 decode (~1.3x faster, ~1.4GB \u2014 fits a single context and avoids the fp16 decode's >2GB large-code-model build) + fp16 lm-head. Device-validated v81 single-prompt greedy-exact 64/64 at 14.4 tok/s, length-swept suite 8/10 greedy_tol (W8 argmax-drift on 2 prompts, output stays coherent) under a tolerant greedy_tol gate. Vision tower + MTP not exported (text-LLM path).",
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"model": {
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"name": "qwen3.5-2b-1024",
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"family": "llm",
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"dsp_arch": "v75",
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"tokenizer_pre": "qwen2"
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},
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"params": {
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"hidden": 2048,
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"vocab": 248320,
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"n_layers": 24,
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"max_ctx": 1024,
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"kv_dim": 512,
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"head_dim": 256,
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"rope_theta": 10000000.0,
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"eos_token_id": 248044,
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"gated_delta": {
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"q_heads": 8,
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"kv_heads": 2,
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"lin_k_heads": 16,
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"lin_v_heads": 16,
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"lin_k_dim": 128,
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"lin_v_dim": 128,
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"conv_kernel": 4,
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"full_every": 4,
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"rot_dim": 64,
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"attn_gate": true,
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"full_attn_idx": [
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3,
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7,
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11,
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15,
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]
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}
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},
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"artifacts": {
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"contexts": {
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"decode": {
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"bin": "qwen352b_decode_w8.bin"
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},
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"lmhead": {
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"bin": "qwen352b_lmhead_f16.bin"
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}
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},
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"embed": "qwen352b_embed_f16.bin",
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"tokenizer": "tokenizer.json"
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},
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"plan": {
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"steps": [
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{
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"host": "qwen3_5_generate",
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"params": {
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"decode": "qwen352b_decode_w8",
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"lmhead": "qwen352b_lmhead_f16",
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"max_new": 64,
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"neg": -50000
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}
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}
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]
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}
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}
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v75/qwen352b_decode_w8.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8d4efd3117830114ce1ecd1a9c692e1ea71f8faebffbd95e5a7cbd1f1a3d6ff
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size 1392832512
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v75/qwen352b_embed_f16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1014821eb1ecd1554be53855305701a402daced03fbc108ef7105223cdcd5d36
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size 1017118720
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v75/qwen352b_lmhead_f16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:81113c6d9d7f1e810704dcf3ff1426b5de304391ce23234241ce213e4faa1e29
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size 1018429440
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v75/tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
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size 19989325
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