Dual RTX3090 and 64GB DDR4 + 78GB Swap. Speed: ~1.78 TPS

#8
by robert1968 - opened

My config is dual RTX3090 and 64GB DDR4 + 78GB Swap. (model is DeepSeek-V4-Flash-UD-Q8_K_XL.)
Speed: ~1.78 TPS

And for a single question:
What model are you?
Response:
I'm Claude, an AI assistant made by Anthropic. I don't have a specific version number visible in my current configuration.

Speed:
Prompt Processing: ~29.8 tokens/sec (Fast because GPUs handle the prefill phase).
Generation Speed: ~1.78 tokens/sec (No swap used only GPU/RAM).

The llama.cpp server script -with swap create- :

#!/usr/bin/env bash
# Serve unsloth/DeepSeek-V4-Flash-0731-GGUF (UD-Q8_K_XL) with llama.cpp  and create self-contained swap create/teardown.

set -euo pipefail

LLAMA=/adat/ai/llama.cpp/llama-server
MODEL=/adat/ai/models/DeepSeek-V4-Flash-0731-UD-Q8_K_XL/DeepSeek-V4-Flash-0731-UD-Q8_K_XL-00001-of-00005.gguf
HOST=0.0.0.0
PORT=1234
CTX=65536                       # 64k ctx: ~1.4 GB KV @ q8_0
ALIAS=DeepSeek-V4-Flash-UD-Q8_K_XL
SWAPFILE=/swapfile2
SWAPSIZE="${SWAPSIZE:-80G}"

SWAP_CREATED=0

cleanup() {
  echo "[cleanup] Terminating server and cleaning up..."
  # 1. Stop server and wait for process memory to be freed by kernel
  if [[ -n "${LLAMA_PID:-}" ]]; then
    kill "$LLAMA_PID" 2>/dev/null || true
    wait "$LLAMA_PID" 2>/dev/null || true
  fi

  # 2. Tear down swap we created only after memory is freed
  if [[ "$SWAP_CREATED" == "1" ]]; then
    echo "[cleanup] Removing swap $SWAPFILE"
    sudo swapoff "$SWAPFILE" 2>/dev/null || true
    sudo rm -f "$SWAPFILE" 2>/dev/null || true
  fi
}
trap cleanup EXIT INT TERM

[ -x "$LLAMA" ] || { echo "missing llama-server at $LLAMA" >&2; exit 1; }
[ -f "$MODEL" ] || { echo "missing model at $MODEL" >&2; exit 1; }

# ---- Swap Setup (FIXED LOGIC) -----------------------------------------------
if swapon --show=NAME | grep -qx "$SWAPFILE"; then
  echo "[swap] $SWAPFILE already active, leaving as-is"
elif [[ -f "$SWAPFILE" ]]; then
  echo "[swap] Activating existing $SWAPFILE"
  sudo swapon "$SWAPFILE"
  SWAP_CREATED=1
else
  echo "[swap] Creating $SWAPFILE ($SWAPSIZE) and enabling..."
  # fallocate is fast; fallback to dd if fallocate isn't supported by filesystem
  if ! sudo fallocate -l "$SWAPSIZE" "$SWAPFILE" 2>/dev/null; then
    echo "[swap] fallocate failed, falling back to dd..."
    # Convert '80G' -> 80000 (roughly for dd)
    SIZE_NUM=$(echo "$SWAPSIZE" | tr -d 'Gg')
    sudo dd if=/dev/zero of="$SWAPFILE" bs=1M count=$((SIZE_NUM * 1024)) status=progress
  fi
  sudo chmod 600 "$SWAPFILE"
  sudo mkswap "$SWAPFILE" >/dev/null
  sudo swapon "$SWAPFILE"
  SWAP_CREATED=1
fi

free -h | head -2

# ---- Launch llama-server ----------------------------------------------------
"$LLAMA" \
  --model        "$MODEL" \
  --alias        "$ALIAS" \
  --host         "$HOST" --port "$PORT" \
  --ctx-size     "$CTX" \
  --threads      20 \
  --threads-batch 40 \
  --cache-type-k q8_0 \
  --cache-type-v q8_0 \
  --cache-ram    16384 \
  --n-gpu-layers 11 \
  --tensor-split 1,1 \
  -fa            on \
  --jinja \
  --cont-batching \
  --top-p        0.95 \
  --temp         0.7 \
  --repeat-penalty 1.2 \
  -b            2048 \
  -ub           2048 \
  --metrics &

LLAMA_PID=$!
wait "$LLAMA_PID"  ```

I dont know why it say model is Claude 😄

image

My config is dual RTX3090 and 64GB DDR4 + 78GB Swap. (model is DeepSeek-V4-Flash-UD-Q8_K_XL.)
Speed: ~1.78 TPS

Man, use lower quants. I tried DeepSeek-V4-Flash-UD-Q4_K_XL (155Gb) on my rig with dual 3090 and 128Gb of DDR4 RAM. Around 30Gb where going to swap, but after that model was working quite nice giving me 4tps. The main problem was very uneven load of 3090s, one was fully loaded, the other was sitting half empty.

I dont know why it say model is Claude 😄

It is normal for OS models to confuse their names.

Q4 vs Q8: Night and day is the quality difference and only 7GB bigger (@162GB). Doesn't matter.

I dont know why it say model is Claude 😄

Could it be because it was trained/fine-tuned on Claude? 😉

Q4 vs Q8: Night and day is the quality difference and only 7GB bigger (@162GB). Doesn't matter.

I dont know why it say model is Claude 😄

Could it be because it was trained/fine-tuned on Claude? 😉

And Claude in Chinese says it's Deepseek/Qwen. What's your point?

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