frank-default-large: swap to Qwen3.8-27B-Uncensored Q6_K, q8_0/f16 KV
- MODEL_FILE -> Qwen3.8-27B-Uncensored-Q6_K.gguf (22.43 GB, no bundled MTP head; repo ships a standalone draft sidecar) - SPEC_DRAFT_MODEL -> Qwen3.8-27B-Uncensored-draft-Q8_0.gguf (3.16 GB) - CACHE_TYPE_K=q8_0, CACHE_TYPE_V=f16 (mismatched, FA retained via the GGML_CUDA_FA_ALL_QUANTS rebuild of head HIP + worker CUDA at 9b05354ec) - Split kept at 0.53 for phase 1 (Q6_K frees ~4.7 GiB on the worker at this split); re-maximize after measuring draft placement - KV math: K 1088 B/token + V 2048 B/token = 784 MiB per FA layer
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@@ -15,7 +15,7 @@
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# (HIP runtime collision, see the 2026-08-13 TEMP incident).
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MODEL_DIR=/home/dank/models
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MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
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MODEL_FILE=Qwen3.8-27B-Uncensored-Q6_K.gguf
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HEAD_BIN=/home/dank/llama.cpp/build/bin/llama-server
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ALIAS=frank-default-large
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BIND_ADDR=0.0.0.0
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@@ -25,15 +25,12 @@ LISTEN_PORT=7770
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RPC_SERVERS=192.168.0.235:50052
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# Model split fractions, one per device in order [RPC0, iGPU].
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# 0.53,0.47 = 34 of 65 blocks on the 3090 (blocks 0-33) - the maximum
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# provably-safe split, measured 2026-08-17 (two failed attempts):
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# - 0.50: 32 blocks, KV 8192 MiB (8 FA) -> healthy, 1477 MiB free.
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# - 0.54: weights 35 blocks but KV jumps to 9216 MiB (9th FA block) ->
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# cudaMalloc OOM by ~740 MiB. The KV-per-device count rounds the
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# split fraction over 66 layers, independent of the weight boundary;
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# the flip to 9 FA sits at f ~= 0.538, just below the weight
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# threshold for block 35. 0.53 keeps 8 FA under every rounding rule.
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# GGUF block scan: FA at 3,7,...,63; linear blocks 431 MB, FA 410 MB.
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# 0.53,0.47 = 34 of 65 blocks on the 3090 (blocks 0-33). Phase-1 value
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# for the Q6_K swap (2026-08-17); the split will be re-maximized after
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# measuring the draft-model placement on the worker. With the Q6_K model
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# (layer pool 20334 MB) + q8_0/f16 KV (784 MiB per FA layer) the worker
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# frees ~4.7 GiB vs the old model at this split; the 0.53 boundary was
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# provably safe under the old model and is comfortably safe here.
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TENSOR_SPLIT=0.53,0.47
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# Context pool. 262144 total = 1 parallel slot x 262144 per slot
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@@ -41,25 +38,26 @@ TENSOR_SPLIT=0.53,0.47
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CTX_SIZE=262144
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PARALLEL=1
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# Speculative decoding. Matches production frank-default-large: MTP (bundled
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# head, n_max 4 per the published tuning curve) with the ngram-mod fallback.
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# Set SPEC_NONE=1 for a raw baseline with no speculation.
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# Speculative decoding. MTP with the STANDALONE draft head (the Q6_K
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# model has no bundled MTP head; the repo ships the draft sidecar) + the
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# ngram-mod fallback. Set SPEC_NONE=1 for a raw baseline.
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SPEC_NONE=0
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SPEC_DEFAULT=1
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MTP=1
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SPEC_DRAFT_N_MAX=4
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# Optional standalone MTP draft head (e.g. the Q4_0 ggml-org file). When set,
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# it replaces the bundled in-model head via --spec-draft-model.
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SPEC_DRAFT_MODEL=
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# Standalone MTP draft head (Q8_0 MTP-only sidecar from the same repo).
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SPEC_DRAFT_MODEL=/home/dank/models/Qwen3.8-27B-Uncensored-draft-Q8_0.gguf
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SPEC_NGRAM_MOD_N_MIN=48
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SPEC_NGRAM_MOD_N_MAX=64
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SPEC_NGRAM_MOD_N_MATCH=24
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# KV on GPU, unquantized (f16). 16 full-attention layers x 2 (K,V) x 4 heads
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# x 256 dim x 2 bytes = 64 KiB/token -> 262144 tokens = 16.6 GiB total,
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# held in proportion to the full-attention layers each device holds.
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# Keep K == V so Flash Attention stays enabled.
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CACHE_TYPE_K=f16
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# KV on GPU: K q8_0 + V f16 (mismatched, 16 full-attention layers x 4
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# heads x 256 dim: K = 1088 B/token, V = 2048 B/token -> 3136 B/token ->
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# 784 MiB per FA layer at 262144, 12.25 GiB total). Mismatched K/V with
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# Flash Attention requires the GGML_CUDA_FA_ALL_QUANTS rebuild (2026-08-17:
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# head HIP + worker CUDA at 9b05354ec). Do not revert the binaries without
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# also reverting this.
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CACHE_TYPE_K=q8_0
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CACHE_TYPE_V=f16
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# Batch sizing: production-verified values (2026-08-14).
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