Frank
6a86a9df93
llama.cpp splits --ctx-size across --parallel slots, so 262144 total gave 87552 per stream. Non-negotiable is 262144 per stream: total pool must be 786432.
19 lines
605 B
Bash
19 lines
605 B
Bash
# Tunables for frank-default-small (HauhauCS Q6_K_P + DFlash draft, 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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# 3 parallel slots x 262144 ctx each = 786432 total context pool.
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CTX_SIZE=786432
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PARALLEL=3
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SPEC_TYPE=draft-dflash
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SPEC_N_MAX=7
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CACHE_TYPE_K=q8_0
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CACHE_TYPE_V=f16
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# All 40 layers keep their MoE expert weights on CPU (targeted expert offload).
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N_CPU_MOE=40
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# Every non-expert tensor (attention, norms, embedding, LM head) goes to GPU.
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N_GPU_LAYERS=all
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THREADS=8
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THREADS_HTTP=8 |