Frank
f96aa2b692
The f16/f16 KV pool costs 15640 MiB at 800768 cells. At full 800K the 3090 idled at 23966/24576 MiB and the 1472x1472 image warmup graph failed cudaMalloc (needed +248 MiB). 700416 cells (175104/slot, 4 slots) leaves ~2.3 GiB free after warmup. Parallel stays 4.
59 lines
2.7 KiB
Bash
59 lines
2.7 KiB
Bash
# Tunables for frank-default-small (HauhauCS Q6_K_P, ngram-mod spec, dankserver)
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# Runtime: llama-server b10108; RTX 3090 24GB; Ryzen 7 7700X; 62GB RAM.
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MODEL_DIR=/home/dank/models
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ALIAS=frank-default-small
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HOST=0.0.0.0
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PORT=7770
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# 4 parallel slots x 175104 ctx each = 700416 total context pool.
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# (2026-08-14: refitted from 800000 when the KV cache went dual-f16; the
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# f16/f16 pool costs 15640 MiB at 800768 cells and did not fit the 3090's
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# 24 GiB with the image-warmup graph. 700416 cells leaves ~2.3 GiB free.)
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CTX_SIZE=700000
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PARALLEL=4
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# Spec: ngram-mod. n_min=48, n_max=64, n_match=24 (defaults). 4 expert
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# layers back on GPU; 36 on CPU. Batch 8192 / ubatch 3072.
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SPEC_TYPE=ngram-mod
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NGRAM_MOD_N_MIN=48
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NGRAM_MOD_N_MAX=64
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NGRAM_MOD_N_MATCH=24
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# Expert offload: 36 of 40 layers keep MoE weights on CPU; remaining
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# 4 layers have their expert weights resident on GPU for faster routing.
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# Chosen for prefill-max stability at ubatch 3072: frees ~0.75 GiB peak
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# VRAM vs ncmoe 35 (grid: peak 8606 vs 9360 MiB) for -2% prefill, -2%
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# decode. Fixes the cuBLAS OOM crash class during big prefills.
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N_CPU_MOE=36
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N_GPU_LAYERS=all
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# KV cache on GPU, both K and V at f16 (2026-08-14 diagnostic).
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# F16 K removes the flash-attention F16-conversion workspace (the MMA_F16
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# prefill kernel needs no copy when K is already f16), trading static pool
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# size for the context-proportional workspace growth that caused the
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# cublasSgemm_v2 crashes. Run with VERBOSITY=4 so the load log shows the
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# real allocation sizes; refit CTX_SIZE if it does not fit.
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CACHE_TYPE_K=f16
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CACHE_TYPE_V=f16
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# Diagnostic verbosity for this run; logs the KV/graph allocation sizes.
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VERBOSITY=4
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# Store SWA checkpoints in RAM to hold peak GPU memory down for the
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# larger batch/ubatch (leaves headroom for ctx-checkpoints operation).
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CTX_CHECKPOINTS=4
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# Larger batches / ubatch for big prefill workloads.
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# ubatch 3072 (benchmark-chosen): prefill is the priority; this is the top
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# prefill tier (~1458 t/s) with ~1.2 GiB headroom. Decode is independent.
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BATCH_SIZE=8192
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UBATCH_SIZE=3072
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# Load the model into RAM rather than lazy-mapping it. The MoE experts live on
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# CPU, so eager RAM load avoids page faults during decode (uses ~31GB RAM).
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NO_MMAP=1
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# Compute threads lowered to 7 so other processes on the box keep a core.
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# Sampling settings — per HauhauCS Qwen3.6-35B-A3B model card.
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# Thinking-general: temp=1.0, top_p=0.95, top_k=20, min_p=0.
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# Clients may override per-request; these are the server-side defaults.
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# WARNING: do not name this variable TEMP. The ROCm HIP runtime reads the
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# TEMP environment variable (JIT kernel-cache dir); TEMP=1.0 made the HIP
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# runtime SEGV (NULL unref) during model load on Aug 13 2026.
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TEMPERATURE=1.0
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TOP_K=20
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TOP_P=0.95
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MIN_P=0.0
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THREADS=7
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THREADS_HTTP=8 |