feat(serve): add optimized llama-server launcher with n-gram speculation

Add `make serve` and `make serve-ngram` for launching llama-server with
baked-in optimal settings (Vulkan RADV, q4_0 KV cache, flash attention,
no-mmap, full GPU offload). N-gram speculative decoding gives 1.1-1.4x
tg speedup on repetitive content without upstream PR dependencies.
Update Phase 5 status: MTP is months away (4 unmerged PRs, no MoE
support), draft-model speculation stalled on ROCm buffer crashes.
This commit is contained in:
Felipe Cardoso
2026-03-30 21:12:30 +02:00
parent ba24091791
commit dd403a907c
4 changed files with 169 additions and 5 deletions

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@@ -38,6 +38,13 @@ benchmark: ## Run full benchmark suite (supports ARGS="--tag NAME --max-size 20"
benchmark-compare: ## Compare two benchmark runs (usage: make benchmark-compare BEFORE=dir AFTER=dir)
@bash bin/benchmark compare $(BEFORE) $(AFTER)
# --- Serve ---
serve: ## Launch llama-server with optimized settings (ARGS="-m MODEL.gguf")
@bash bin/serve $(ARGS)
serve-ngram: ## Launch with n-gram speculative decoding (ARGS="-m MODEL.gguf")
@bash bin/serve --ngram $(ARGS)
# --- Optimize ---
optimize: ## Interactive optimization walkthrough
@bash bin/optimize --all

5
bin/serve Executable file
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@@ -0,0 +1,5 @@
#!/usr/bin/env bash
# Server dispatcher
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
exec bash "$SCRIPT_DIR/scripts/serve/launch.sh" "$@"

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@@ -135,16 +135,32 @@ Living document tracking what was applied, tested, and the actual results. Each
## Phase 5: Future / Blocked
### 5.1 Speculative Decoding
### 5.1 Speculative Decoding (draft model)
- **Status**: BLOCKED — llama.cpp PR #20075 (hybrid SSM/MoE fix)
- **Status**: BLOCKED — llama.cpp PR #20075 (hybrid SSM/MoE checkpoint/restore)
- **Draft model**: Downloaded `Qwen3.5-0.8B-Q8_0.gguf` (812 MB) on 2026-03-27
- **Last checked**: 2026-03-27 — PR open since 2026-03-03, has ROCm buffer issues
- **Last checked**: 2026-03-30 — PR stalled since Mar 5. ROCm buffer crashes in `copy_cell()`. Works on Metal/CUDA but not AMD. Months away from landing.
### 5.2 Native MTP (Multi-Token Prediction)
- **Status**: BLOCKED — llama.cpp PR #20700
- **Last checked**: 2026-03-27 — WIP, not expected to merge soon
- **Status**: BLOCKED — multiple dependencies unmerged
- **Last checked**: 2026-03-30
- **Details**: 4 separate PRs in flight, none merged:
- PR #18886: MTP API framework (DRAFT since Feb 6) — foundation for all MTP work
- PR #20700: MTP for Qwen3.5 **dense only** (WIP, author says "not expected to merge soon")
- PR #15225: GLM-style MTP (open since Aug 2025, "slower than baseline")
- PR #18039: EAGLE3 speculative (open since Dec 2025)
- **Key gap**: No MTP implementation exists for MoE models. PR #20700 only covers dense Qwen3.5 (0.8B-27B), not the 35B-A3B MoE.
- **Timeline estimate**: MTP API (#18886) must merge first, then model-specific implementations adapted. Months, not weeks.
### 5.2a N-gram Speculative Decoding (AVAILABLE NOW)
- **Status**: WORKS TODAY — no upstream PRs needed
- **How**: `llama-server --spec-type ngram-simple --draft-max 64 --draft-min 4`
- **Expected**: 1.1-1.4x tg speedup on repetitive content (code, structured output)
- **Added to**: `make serve-ngram ARGS="-m MODEL.gguf"` and `bin/serve --ngram`
- **Notes**: Pattern-matches from token history, no draft model needed. Best for code generation where patterns repeat. No quality impact.
- **Verdict**: AVAILABLE — use `--ngram` flag when serving
### 5.3 GPU Clock Reporting

136
scripts/serve/launch.sh Executable file
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@@ -0,0 +1,136 @@
#!/usr/bin/env bash
# Launch llama-server with optimized settings for Strix Halo
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
source "$SCRIPT_DIR/../../lib/common.sh"
source "$SCRIPT_DIR/../../lib/detect.sh"
source "$SCRIPT_DIR/../../lib/format.sh"
MODEL_DIR="$(data_dir models)"
BACKEND="llama-vulkan-radv"
PORT=8080
CTX_SIZE=131072
PARALLEL=1
MODEL=""
NGRAM=false
while [[ $# -gt 0 ]]; do
case "$1" in
-m|--model) MODEL="$2"; shift 2 ;;
--backend) BACKEND="$2"; shift 2 ;;
--port) PORT="$2"; shift 2 ;;
--ctx) CTX_SIZE="$2"; shift 2 ;;
--parallel) PARALLEL="$2"; shift 2 ;;
--ngram) NGRAM=true; shift ;;
--help|-h)
echo "Usage: launch.sh [OPTIONS]"
echo ""
echo "Options:"
echo " -m, --model FILE GGUF model filename (searches data/models/)"
echo " --backend NAME Toolbox backend (default: llama-vulkan-radv)"
echo " --port N Listen port (default: 8080)"
echo " --ctx N Context size (default: 131072)"
echo " --parallel N Parallel request slots (default: 1)"
echo " --ngram Enable n-gram speculative decoding (~1.1-1.4x tg)"
echo ""
echo "Presets (pass model filename):"
echo " Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf General purpose daily driver"
echo " Qwen3-Coder-30B-A3B-Instruct-UD-Q6_K_XL.gguf Agentic coding"
echo " Qwen3-Coder-Next-UD-Q3_K_XL.gguf Complex SE tasks"
echo ""
echo "Examples:"
echo " launch.sh -m Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf"
echo " launch.sh -m Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf --ngram --ctx 262144"
echo " launch.sh -m Qwen3-Coder-30B-A3B-Instruct-UD-Q6_K_XL.gguf --parallel 2"
exit 0 ;;
*) log_warn "Unknown argument: $1"; shift ;;
esac
done
if [[ -z "$MODEL" ]]; then
log_error "No model specified. Use -m MODEL_FILENAME"
echo ""
echo "Available models:"
find -L "$MODEL_DIR" -type f -name '*.gguf' -not -name 'mmproj-*' \
-not -name '*-000*-of-*.gguf' -printf ' %f\n' 2>/dev/null | sort
exit 1
fi
# Find model file
MODEL_PATH="$(find -L "$MODEL_DIR" -type f -name "$MODEL" -print -quit 2>/dev/null)"
if [[ -z "$MODEL_PATH" ]]; then
log_error "Model not found: $MODEL"
exit 1
fi
# Resolve for toolbox
TOOLBOX_MODEL_PATH="$(realpath "$MODEL_PATH")"
if [[ "$TOOLBOX_MODEL_PATH" != /home/* ]]; then
TOOLBOX_MODEL_PATH="/run/host${TOOLBOX_MODEL_PATH}"
fi
# Backend-specific settings
declare -A SERVER_PATHS=(
[llama-vulkan-radv]="/usr/sbin/llama-server"
[llama-vulkan-amdvlk]="/usr/sbin/llama-server"
[llama-rocm-6.4.4]="/usr/local/bin/llama-server"
[llama-rocm-7.2]="/usr/local/bin/llama-server"
[llama-rocm7-nightlies]="/usr/local/bin/llama-server"
)
SERVER_BIN="${SERVER_PATHS[$BACKEND]:-}"
if [[ -z "$SERVER_BIN" ]]; then
log_error "Unknown backend: $BACKEND"
exit 1
fi
# Check toolbox exists
if ! toolbox list 2>/dev/null | grep -q "$BACKEND"; then
log_error "Toolbox not found: $BACKEND"
exit 1
fi
# Build environment args
ENV_ARGS=()
if [[ "$BACKEND" == *rocm* ]]; then
ENV_ARGS=(env ROCBLAS_USE_HIPBLASLT=1)
fi
# Build server args
SERVER_ARGS=(
-ngl 99 # Full GPU offload
--no-mmap # Direct load, no mmap overhead
-fa # Flash attention
-m "$TOOLBOX_MODEL_PATH"
-c "$CTX_SIZE" # Context size
--cache-type-k q4_0 # KV cache quantization (fastest on Vulkan)
--cache-type-v q4_0
--port "$PORT"
-np "$PARALLEL" # Parallel slots
)
# N-gram speculative decoding
if $NGRAM; then
SERVER_ARGS+=(
--spec-type ngram-simple
--draft-max 64
--draft-min 4
)
fi
# Display config
log_header "llama-server"
log_info "Model: $(basename "$MODEL_PATH") ($(du -h "$MODEL_PATH" | cut -f1))"
log_info "Backend: $BACKEND"
log_info "Context: $CTX_SIZE tokens"
log_info "KV cache: q4_0/q4_0"
log_info "Parallel slots: $PARALLEL"
$NGRAM && log_info "N-gram speculative: enabled (draft-max=64)"
log_info "Port: $PORT"
log_info "Endpoint: http://localhost:$PORT"
echo ""
log_info "Starting server..."
# Launch
exec toolbox run -c "$BACKEND" -- "${ENV_ARGS[@]}" "$SERVER_BIN" "${SERVER_ARGS[@]}"