Frank
3f3b1bdb27
--jinja: ik_llama only renders a custom --chat-template-file as real Jinja when --jinja is passed (inputs.use_jinja ? apply_jinja : non-jinja fallback). Without it the Qwen-Sharp template's thinking/image/tool formatting is silently dropped. Add USE_JINJA=1 -> --jinja. Experts: the RTX 3090 had ~5.4 GiB headroom; pull expert blocks 30,32,33,34 back to CUDA (each block ~630 MiB) from CPU for lower latency. Update the OVERRIDE_EXPERT regex, its test, and the KB with the headroom-check note.
124 lines
4.5 KiB
Bash
Executable File
124 lines
4.5 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Serve dealignai/Ornith-1.5-35B-A3B-UNCENSORED (CRACK, Q6_K) as
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# frank-default-small via ik_llama.cpp on Dankserver (RTX 3090, MoE
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# experts on CPU).
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#
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# Runtime: ik_llama.cpp llama-server (ikawrakow ik_llama.cpp). The model is a
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# 35B-total / 3B-active MoE-dense hybrid with an MTP head bundled in the GGUF.
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# Speculative decoding is disabled: ik_llama limits any spec stage to a single
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# server slot (-np 1), and this service keeps 3 parallel slots.
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#
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# KV cache: q8_0 with Hadamard transforms on K and V (requires a build with
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# GGML_CUDA_FA_ALL_QUANTS=ON + GGML_IQK_FA_ALL_QUANTS=ON; see the env file).
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# The ik_llama fast q8_KV type crashes at init on this arch (ggml.c:5427);
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# q8_0 is used instead.
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#
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# Split mode is none: Dankserver has a single RTX 3090 and ik_llama rejects
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# split-mode graph with fewer than 2 devices (hard load error).
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#
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# Expert offload: the expert (FFN exps) tensors selected by the layer-bounded
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# --override-tensor pattern are pinned to CPU. Selected full-attention and
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# final output-adjacent blocks stay on CUDA with all non-expert tensors,
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# without relying on MTP speculation.
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#
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# Speculative decoding: disabled (none). ik_llama hard-exits if a spec stage
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# is configured with --parallel > 1. MTP is also intentionally disabled.
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# A low-parameter MoE (3B active) does not need speculation here.
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#
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# Tunables come from frank-default-small.env unless FRANK_SMALL_ENV_FILE
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# overrides that path.
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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ENV_FILE="${FRANK_SMALL_ENV_FILE:-$SCRIPT_DIR/frank-default-small.env}"
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if [[ -f "$ENV_FILE" ]]; then
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set -a
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# shellcheck disable=SC1090
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source "$ENV_FILE"
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set +a
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fi
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# --- defaults (used when the env file does not set them) -----------------
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: "${MODEL_DIR:=/home/dank/models}"
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: "${MODEL_FILE:=Ornith-1.5-35B-A3B-CRACK-Q6_K.gguf}"
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: "${MMPROJ_FILE:=mmproj-Ornith-1.5-35B-A3B-f16.gguf}"
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: "${LLAMA_SERVER:=/home/dank/llama.cpp/build/bin/llama-server}"
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: "${CHAT_TEMPLATE_FILE:=$SCRIPT_DIR/chat-template.jinja}"
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# Render the Qwen-Sharp template with the true Jinja engine. ik_llama only
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# applies --chat-template-file as real Jinja when --jinja is passed;
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# otherwise it falls back to built-in non-Jinja handlers and silently drops
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# the custom template's thinking/image/tool formatting.
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: "${USE_JINJA:=1}"
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: "${ALIAS:=frank-default-small}"
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: "${BIND_ADDR:=0.0.0.0}"
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: "${LISTEN_PORT:=7770}"
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: "${CTX_SIZE:=491520}"
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: "${PARALLEL:=3}"
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: "${SPEC_TYPE:=none}"
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: "${CACHE_TYPE_K:=f16}"
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: "${CACHE_TYPE_V:=f16}"
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: "${K_CACHE_HADAMARD:=0}"
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: "${V_CACHE_HADAMARD:=0}"
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: "${SPLIT_MODE:=none}"
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: "${VERBOSITY:=4}"
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# Expert offload: --override-tensor regex pinned to the CPU buft. Same pattern
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# the internal --cpu-moe / --n-cpu-moe use; explicit here so we only move the
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# MoE expert weights and leave every other tensor on the GPU.
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: "${OVERRIDE_EXPERT:=blk\.(0|1|2|4|5|6|8|9|10|12|13|14|16|17|18|20|21|22|24|25|26|28|29|30|32|33|34)\.ffn_(up|down|gate|gate_up)_(ch|)exps}"
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: "${OVERRIDE_BUFT:=CPU}"
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: "${N_GPU_LAYERS:=999}"
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: "${BATCH_SIZE:=4096}"
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: "${UBATCH_SIZE:=1024}"
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: "${CTX_CHECKPOINTS:=16}"
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: "${NO_MMAP:=1}"
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: "${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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: "${THREADS_HTTP:=8}"
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MODEL="$MODEL_DIR/$MODEL_FILE"
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MMPROJ="$MODEL_DIR/$MMPROJ_FILE"
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for f in "$MODEL" "$MMPROJ" "$CHAT_TEMPLATE_FILE"; do
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if [[ ! -f "$f" ]]; then
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echo "missing required file: $f" >&2
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exit 1
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fi
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done
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if [[ ! -x "$LLAMA_SERVER" ]]; then
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echo "missing llama-server binary: $LLAMA_SERVER" >&2
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exit 1
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fi
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exec "$LLAMA_SERVER" \
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--model "$MODEL" \
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--mmproj "$MMPROJ" \
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--chat-template-file "$CHAT_TEMPLATE_FILE" \
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$([ "$USE_JINJA" = "1" ] && printf -- "--jinja") \
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--spec-type "$SPEC_TYPE" \
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--override-tensor "$OVERRIDE_EXPERT=$OVERRIDE_BUFT" \
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--cache-type-k "$CACHE_TYPE_K" \
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--cache-type-v "$CACHE_TYPE_V" \
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$([ "$K_CACHE_HADAMARD" = "1" ] && printf -- "--k-cache-hadamard") \
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$([ "$V_CACHE_HADAMARD" = "1" ] && printf -- "--v-cache-hadamard") \
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--split-mode "$SPLIT_MODE" \
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--verbosity "$VERBOSITY" \
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--ctx-size "$CTX_SIZE" \
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--parallel "$PARALLEL" \
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--gpu-layers "$N_GPU_LAYERS" \
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--batch-size "$BATCH_SIZE" \
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--ubatch-size "$UBATCH_SIZE" \
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--ctx-checkpoints "$CTX_CHECKPOINTS" \
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$([ "$NO_MMAP" = "1" ] && printf -- "--no-mmap") \
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--temp "$TEMPERATURE" \
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--top-k "$TOP_K" \
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--top-p "$TOP_P" \
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--min-p "$MIN_P" \
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--threads "$THREADS" \
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--threads-http "$THREADS_HTTP" \
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--alias "$ALIAS" \
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--host "$BIND_ADDR" \
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--port "$LISTEN_PORT" |