Frank
4462aa992c
- frank-default-small (Dankserver): Ornith-1.5-35B-A3B-CRACK Q8_0, bundled native draft-mtp (n_max 4), MoE expert FFN tensors pinned to CPU via an explicit --override-tensor \.ffn_(up|down|gate|gate_up)_(ch|)exps=CPU (replaces --n-cpu-moe), Qwen-Sharp chat template. - frank-default-large (Dankclaw): kingjones Qwen3.8-27B-Uncensored-Q6_0 ROCmFP4 AGENT dense GGUF, standalone mtp-Qwen3.8-27B-Q4_0 draft head (--model-draft, draft-mtp n_max 4), Qwen-Sharp chat template. Drop the retired PromptForge .pfs sidecar lanes. - Track scripts/chat-template.jinja (v22.4.0 Sharp) and apply via --chat-template-file on both services. - Docs: new kingjones-strix-mtp and dealign-ornith-crack runbook pages; update index, deployment, and both system specs; models.json names. Smoke-tested both models on the real hardware on scratch ports before commit: model loads, MTP draft attaches, Sharp template applies, chat completion returns.
72 lines
2.4 KiB
Bash
72 lines
2.4 KiB
Bash
# Tunables for frank-default-small (Ornith-1.5-35B-A3B CRACK Q8_0, MTP MoE,
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# Dankserver, RTX 3090).
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#
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# Runtime: upstream llama.cpp llama-server (b10121). RTX 3090 24 GB; Ryzen
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# 7 7700X; 62 GB RAM. MoE expert weights pinned to CPU with an explicit
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# --override-tensor regex (not --n-cpu-moe). Replaced the HauhauCS
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# Qwen3.6-35B-A3B model on 2026-08-24.
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#
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# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The
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# ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
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# incident). This box is NVIDIA/CUDA, but the rule keeps the env portable.
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# Model files (Q8_0 CRACK GGUF + f16 mmproj vision encoder + MTP head bundled
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# in the GGUF). Dealign2026-08-24.
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MODEL_DIR=/home/dank/models/Ornith-1.5-35B-A3B-CRACK
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MODEL_FILE=Ornith-1.5-35B-A3B-CRACK-Q8_0.gguf
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MMPROJ_FILE=mmproj-Ornith-1.5-35B-A3B-f16.gguf
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# Upstream llama.cpp binary (b10121).
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LLAMA_SERVER=/home/dank/llama.cpp/build/bin/llama-server
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# Qwen-Sharp chat template (tracked in the repo, staged on the host).
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CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
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ALIAS=frank-default-small
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BIND_ADDR=0.0.0.0
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LISTEN_PORT=7770
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# 3 parallel slots x 262144 total context pool (max per-slot), unchanged
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# from the prior Qwen3.6 service. Lower PARALLEL if VRAM is tight with the
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# larger Q8_0 payload.
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CTX_SIZE=786432
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PARALLEL=3
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# Spec: MoE model with a bundled MTP head -> native draft-mtp, n_max 4
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# (the knee). ngram under MTP hurts; MTP alone is the proven best for MoE.
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SPEC_TYPE=draft-mtp
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SPEC_DRAFT_N_MAX=4
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SPEC_DRAFT_N_MIN=0
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SPEC_DRAFT_P_MIN=0.0
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# Expert offload via explicit tensor override (replaces --n-cpu-moe). Only
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# the MoE FFN exps tensors move to CPU; everything else up to --gpu-layers
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# stays on the 24 GB card. The regex is the same one the built-in --cpu-moe
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# expands. Buffer type "CPU" is the CPU buft name on this host.
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OVERRIDE_EXPERT='\.ffn_(up|down|gate|gate_up)_(ch|)exps'
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OVERRIDE_BUFT=CPU
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N_GPU_LAYERS=all
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# KV cache on GPU, both K and V at f16.
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CACHE_TYPE_K=f16
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CACHE_TYPE_V=f16
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VERBOSITY=4
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# Store context checkpoints in RAM to hold peak GPU memory down.
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CTX_CHECKPOINTS=16
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# Big prefill batches.
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BATCH_SIZE=4096
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UBATCH_SIZE=2048
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# Eager RAM load (expert weights on CPU; ~31 GB RAM).
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NO_MMAP=1
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# Sampling (Dealign Ornith model card, thinking-general).
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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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# Compute threads lowered to 8 so other processes keep a core.
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THREADS=7
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THREADS_HTTP=8 |