Frank
d9af7f1d19
- Move all previous scripts to old/scripts/ (retired PP/NPU-era) - frank-default-large: llama.cpp FastMTP on dankserver (HauhauCS Qwen3.8-27B IQ4_XS + FastMTP 32K draft + ngram-mod, K q8_0/V f16, 128K ctx, batch 2048/ubatch 1024, port 7770) - frank-default-small: vLLM ROCm on dankclaw (Avesed Qwen3.6-35B-A3B INT8 W8A8, full 262144 ctx, no KV quant, 4 seqs, batch 16384, ngram spec, port 52625) - retarget deploy.sh (dankserver/dankclaw, inline sudo, no helpers) - docs: deployment + index + AGENTS.md + README for new topology, superseded banners on retired docs, add frank-redo-2026-08-17 runbook
59 lines
1.9 KiB
Bash
59 lines
1.9 KiB
Bash
# Tunables for frank-default-large (llama.cpp, dankserver, RTX 3090).
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#
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# Runtime: patched llama-server (HauhauCS FastMTP build) serving
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# HauhauCS/Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF IQ4_XS with
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# the FastMTP 32K draft sidecar and the ngram-mod fallback. Single machine,
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# no pipeline split. Alias frank-default-large, port 7770.
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#
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# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The ROCm
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# HIP runtime reads those bare env vars (see the 2026-08-13 TEMP incident).
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# This box is NVIDIA/CUDA, but the rule still applies to keep the env files
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# portable.
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# Model files (downloaded to this directory from the HF repo).
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MODEL_DIR=/home/dank/models/hauhaucs-qwen38
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MODEL_FILE=Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-IQ4_XS.gguf
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DRAFT_FILE=Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-FastMTP-32K.gguf
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# Patched llama.cpp binary. The FastMTP sidecar needs the patch; see AGENTS.md.
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LLAMA_BIN=/home/dank/llama.cpp-fastmtp/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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LISTEN_PORT=7770
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# Context, single slot. 131072 (128K) leaves ~1.4 GiB VRAM headroom on the
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# 3090 with IQ4_XS + FastMTP + K q8_0 / V f16 KV. Lower to 122880 (120K) for
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# ~1.8 GiB headroom. KV per token = 16 attention layers x 4 KV heads x 256
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# dim: K q8_0 (1088 B/token) + V f16 (2048 B/token) = 3136 B/token/layer.
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CTX_SIZE=131072
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PARALLEL=1
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# Speculative decoding. FastMTP (MTP depth 2) with the ngram-mod fallback.
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SPEC_DEFAULT=1
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MTP=1
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SPEC_DRAFT_N_MAX=2
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SPEC_DRAFT_NGL=all
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SPEC_DRAFT_P_MIN=0
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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 quantization on GPU: K q8_0 + V f16 (user request: K=8, V=16).
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CACHE_TYPE_K=q8_0
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CACHE_TYPE_V=f16
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# Batch sizing (user request).
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BATCH_SIZE=2048
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UBATCH_SIZE=1024
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# Sampling - Qwen3.8 thinking-mode defaults.
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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=8
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THREADS_HTTP=1
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VERBOSITY=4
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