#!/bin/bash # cpu_ctx_test.sh v4 — -nkvo bigctx with TurboQuant image (FORCE_MMQ) # Image: local/llama-cpp-turboquant:full-cuda-sm75-mmq # # Tests KV in RAM (-nkvo) with BOTH q4_0 and turbo2 KV types. # turbo2 = 2-bit KV (2x smaller than q4_0) → ~2x more context at same RAM budget. # # Speed model per token: # GPU-compute models (smollm3/e2b/e4b/q3): bottleneck = PCIe KV reads # t/s = 1000 / (gpu_ms + ctx * kv_bytes_per_token / PCIE_BPS * 1000) # Qwen3.5-9B: bottleneck = RAM reads (21/32 layers on CPU, 8.86 GB model) # t/s = 1000 / (1000/baseline + ctx * kv_bytes_per_token / RAM_BPS * 1000) # # Usage: bash /scripts/cpu_ctx_test.sh [smollm3|e2b|e4b|q3|qwen35q|all] set -uo pipefail TARGET="${1:-all}" TARGET_TPS=15 CPU_THREADS=6 BENCH_GEN=32 PCIE_BW_GBPS=8.0 # PCIe x4 3.0 practical read BW (conservative) RAM_BW_GBPS=45.0 # RAM practical read BW (i7-10750H DDR4-2933) M_SMOL="/models/HuggingFaceTB_SmolLM3-3B-Q4_K_M.gguf" M_E2B="/models/google_gemma-4-E2B-it-Q4_K_M.gguf" M_E4B="/models/google_gemma-4-E4B-it-Q4_K_M.gguf" M_Q3="/models/Qwen3-4B-Q4_K_M.gguf" M_Q35="/models/Qwen3.5-9B.Q8_0.gguf" declare -A NGL_GPU=([smollm3]=99 [e2b]=99 [e4b]=42 [q3]=99 [qwen35q]=11) # BW source: pcie for GPU-compute models, ram for qwen35-9b (CPU-compute bound) declare -A BW_GBPS=([smollm3]=$PCIE_BW_GBPS [e2b]=$PCIE_BW_GBPS [e4b]=$PCIE_BW_GBPS [q3]=$PCIE_BW_GBPS [qwen35q]=$RAM_BW_GBPS) declare -A BW_LABEL=([smollm3]="PCIe" [e2b]="PCIe" [e4b]="PCIe" [q3]="PCIe" [qwen35q]="RAM") # CTX candidates: larger now thanks to turbo2 (2x smaller KV vs q4_0) # Note: turbo2 is SKIPPED for Qwen3-4B (PPL explodes at ctx>=8192: +0.52 → +13 → +437) # turbo2 is SKIPPED for Qwen3.5-9B (hybrid linear-attn incompatible with llama-perplexity; # server works fine at 32K — this is a test-tool limitation, not a real issue) SMOL_CTXS=(32768 49152 65536 98304 131072 163840) E2B_CTXS=(32768 49152 65536 98304 131072 163840 196608 262144 393216) E4B_CTXS=(32768 49152 65536 98304 131072 163840) Q3_CTXS=(24576 32768 49152 65536 98304 131072) Q35_CTXS=(16384 32768 49152 65536 98304 131072) declare -A CTX_CANDIDATES=( [smollm3]="SMOL_CTXS" [e2b]="E2B_CTXS" [e4b]="E4B_CTXS" [q3]="Q3_CTXS" [qwen35q]="Q35_CTXS") # Pure-GPU ctx for gain comparison declare -A PURE_GPU_CTX=([smollm3]=24576 [e2b]=24576 [e4b]=24576 [q3]=16384 [qwen35q]=32768) GREEN='\033[0;32m'; RED='\033[0;31m'; YELLOW='\033[1;33m'; BLUE='\033[0;34m'; CYAN='\033[0;36m'; NC='\033[0m' HR="======================================================================" # Tiny alloc file — enough for 1 chunk, minimal compute time ALLOC_FILE="/tmp/kv_alloc_tiny.txt" python3 -c " sentences = [ 'The transformer architecture uses self-attention mechanisms to process sequences.', 'Large language models require significant computational resources for training.', 'Quantization reduces memory usage by storing weights in lower precision formats.', 'Flash attention enables memory-efficient computation for long context windows.', 'The key-value cache stores intermediate attention states during generation.', ] import random; random.seed(1) print(chr(10).join([random.choice(sentences) for _ in range(64)])) " > "$ALLOC_FILE" # check_alloc MODEL NGL KV CTX [EXTRA...] # Returns "" on success, "OOM" on failure. Fast: <15s. check_alloc() { local model=$1 ngl=$2 kv=$3 ctx=$4 shift 4 local extra_args=("$@") local tmp_err; tmp_err=$(mktemp) timeout 90 /app/llama-perplexity \ -m "$model" -ngl "$ngl" \ -fa on -nkvo \ -c "$ctx" -ctk "$kv" -ctv "$kv" \ -f "$ALLOC_FILE" --chunks 1 \ "${extra_args[@]}" \ > /dev/null 2>"$tmp_err" local rc=$? local err; err=$(cat "$tmp_err"); rm -f "$tmp_err" if grep -qi "out of memory\|failed to allocate\|cudaMalloc failed\|CUDA_ERROR_OUT_OF_MEMORY\|ggml_cuda_malloc\|cannot allocate memory\|cannot create buffer" <<< "$err"; then echo "OOM"; return 1 fi # Parse Host context MiB: "| Host | total = model + context + compute |" local host_ctx_mib host_ctx_mib=$(grep "Host" <<< "$err" | \ grep -oP "=\s*\d+\s*\+\s*\K\d+(?=\s*\+)" | head -1 || true) echo "${host_ctx_mib:-?}" } # measure_baseline_tps MODEL NGL [EXTRA...] measure_baseline_tps() { local model=$1 ngl=$2 shift 2 local extra_args=("$@") local raw raw=$(timeout 120 /app/llama-bench \ -m "$model" -ngl "$ngl" -t "$CPU_THREADS" \ -p 1 -n "$BENCH_GEN" \ -ctk q4_0 -ctv q4_0 -nkvo 1 -fa 1 -r 1 -o csv \ "${extra_args[@]}" 2>/dev/null) || true printf '%s\n' "$raw" | sed 's/"//g' | \ awk -F',' 'NR>1 && $34=="0" && $35+0>0 && $40+0>0 {print $40+0; exit}' } # estimate_tps BASELINE_TPS KV_PER_TOKEN_MIB CTX BW_GBPS estimate_tps() { local baseline_tps=$1 kv_per_token_mib=$2 ctx=$3 bw_gbps=$4 python3 -c " baseline = float('$baseline_tps') kv_tok_bytes = float('$kv_per_token_mib') * 1024 * 1024 bps = float('$bw_gbps') * 1e9 ctx = int('$ctx') base_ms = 1000.0 / baseline kv_ms = ctx * kv_tok_bytes / bps * 1000 print(f'{1000.0 / (base_ms + kv_ms):.1f}') " 2>/dev/null || echo "?" } # --------------------------------------------------------------------------- echo "$HR" echo "CPU-RAM KV CONTEXT TEST v4 (-nkvo, TurboQuant FORCE_MMQ) -- $(date)" echo "GPU: $(nvidia-smi --query-gpu=name,memory.total --format=csv,noheader 2>/dev/null)" echo "KV types tested: q4_0 (4-bit) and turbo2 (2-bit, 2x smaller → 2x more ctx)" printf "PCIe assumption: %.1f GB/s | RAM assumption: %.1f GB/s\n" "$PCIE_BW_GBPS" "$RAM_BW_GBPS" echo "$HR" echo "" declare -a SUMMARY=() for entry in \ "smollm3:SmolLM3-3B:$M_SMOL" \ "e2b:Gemma4-E2B:$M_E2B" \ "e4b:Gemma4-E4B:$M_E4B" \ "q3:Qwen3-4B:$M_Q3" \ "qwen35q:Qwen3.5-9B:$M_Q35" do IFS=':' read -r key lbl model <<< "$entry" [[ "$TARGET" != "all" && "$TARGET" != "$key" ]] && continue eval "ctxs=(\"\${${CTX_CANDIDATES[$key]}[@]}\")" ngl="${NGL_GPU[$key]}" bw_gbps="${BW_GBPS[$key]}" bw_label="${BW_LABEL[$key]}" # turbo2 incompatible with Qwen3-4B (quality fails at ctx>=8192) # turbo2 alloc works for Qwen3.5-9B but quality measurement unreliable — test q4_0 only if [[ "$key" == "q3" || "$key" == "qwen35q" ]]; then kv_types_to_test=(q4_0) else kv_types_to_test=(q4_0 turbo2) fi extra_args=() printf "${BLUE}=== %s (ngl=%s, BW model: %s %.0f GB/s) ===${NC}\n" \ "$lbl" "$ngl" "$bw_label" "$bw_gbps" # Baseline t/s (empty KV, with q4_0 -nkvo — upper bound) printf " Measuring baseline t/s (empty KV, p=1)... " baseline_tps=$(measure_baseline_tps "$model" "$ngl" "${extra_args[@]}") if [[ -z "$baseline_tps" ]]; then printf "${RED}FAIL${NC}\n\n" SUMMARY+=("$lbl|FAIL|FAIL|FAIL|FAIL|FAIL") continue fi printf "${GREEN}%s t/s${NC}\n\n" "$baseline_tps" # Header printf " %-10s %-12s %-12s %-12s %-12s %-12s %-12s\n" \ "ctx" "KV type" "KV in RAM" "kv/tok" "t/s@25%" "t/s@50%" "t/s@100%" printf " %-10s %-12s %-12s %-12s %-12s %-12s %-12s\n" \ "---" "-------" "---------" "------" "-------" "-------" "--------" max_ctx_q4="" max_ctx_t2="" rec_q4="" rec_t2="" declare -A kv_ref_mib=() for ctx in "${ctxs[@]}"; do for kv_type in "${kv_types_to_test[@]}"; do result=$(check_alloc "$model" "$ngl" "$kv_type" "$ctx" "${extra_args[@]}") if [[ "$result" == "OOM" ]]; then printf " ${RED}%-10s %-12s OOM${NC}\n" "$ctx" "$kv_type" continue fi host_kv_mib="${result}" [[ "$kv_type" == "q4_0" ]] && max_ctx_q4=$ctx || max_ctx_t2=$ctx # KV per token if [[ "$host_kv_mib" =~ ^[0-9]+$ ]]; then kv_per_token_mib=$(python3 -c "print(f'{$host_kv_mib / $ctx:.6f}')") kv_ref_mib[$kv_type]=$kv_per_token_mib else kv_per_token_mib="${kv_ref_mib[$kv_type]:-?}" fi tps25=$(estimate_tps "$baseline_tps" "$kv_per_token_mib" "$(( ctx / 4 ))" "$bw_gbps") tps50=$(estimate_tps "$baseline_tps" "$kv_per_token_mib" "$(( ctx / 2 ))" "$bw_gbps") tps100=$(estimate_tps "$baseline_tps" "$kv_per_token_mib" "$ctx" "$bw_gbps") meets=$(python3 -c "print(1 if '$tps50' != '?' and float('$tps50') >= $TARGET_TPS else 0)" 2>/dev/null || echo 0) [[ "$kv_type" == "q4_0" && "$meets" == "1" ]] && rec_q4=$ctx [[ "$kv_type" == "turbo2" && "$meets" == "1" ]] && rec_t2=$ctx color=$([[ "$meets" == "1" ]] && echo "$GREEN" || echo "$YELLOW") printf " ${color}%-10s${NC} %-12s %-12s %-12s %-12s ${color}%-12s${NC} %-12s\n" \ "$ctx" "$kv_type" "${host_kv_mib}MiB" "${kv_per_token_mib}MiB" \ "$tps25" "$tps50" "$tps100" done done rec_q4="${rec_q4:-$max_ctx_q4}" rec_t2="${rec_t2:-$max_ctx_t2}" pg="${PURE_GPU_CTX[$key]}" printf "\n Recommended ctx (>=%s t/s@50%%): q4_0=%s turbo2=%s (pure-GPU was %s)\n\n" \ "$TARGET_TPS" "${rec_q4:-FAIL}" "${rec_t2:-FAIL}" "$pg" gain_q4=$([[ -n "${rec_q4:-}" && "${rec_q4:-}" != "FAIL" ]] && echo "$((rec_q4 - pg))" || echo "?") gain_t2=$([[ -n "${rec_t2:-}" && "${rec_t2:-}" != "FAIL" ]] && echo "$((rec_t2 - pg))" || echo "?") SUMMARY+=("$lbl|$baseline_tps|${max_ctx_q4:-OOM}|${rec_q4:-FAIL}|${max_ctx_t2:-OOM}|${rec_t2:-FAIL}|$gain_q4|$gain_t2") unset kv_ref_mib max_ctx_q4 max_ctx_t2 rec_q4 rec_t2 done echo "$HR" echo "SUMMARY — -nkvo (KV in RAM): q4_0 vs turbo2" echo "$HR" printf "%-16s %-12s %-14s %-14s %-14s %-14s\n" \ "Model" "Baseline t/s" "q4_0 max" "q4_0 rec" "turbo2 max" "turbo2 rec" printf "%-16s %-12s %-14s %-14s %-14s %-14s\n" \ "-----" "------------" "--------" "--------" "----------" "----------" for row in "${SUMMARY[@]}"; do IFS='|' read -r lbl btps max_q4 rec_q4 max_t2 rec_t2 g_q4 g_t2 <<< "$row" printf "${GREEN}%-16s %-12s %-14s %-14s %-14s %-14s [q4+%s / t2+%s vs pure-GPU]${NC}\n" \ "$lbl" "$btps" "$max_q4" "$rec_q4" "$max_t2" "$rec_t2" "$g_q4" "$g_t2" done echo "$HR" echo "Note: Qwen3.5-9B baseline already <15 t/s (RAM-bound, 8.86 GB model). BW model uses RAM not PCIe." echo "$HR"