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Developer BadStorm
2026-02-05 23:27:16 +01:00
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共有 7 個文件被更改，包括 282 次插入 和 64 次删除
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61
Services/llamacpp-multi.Containerfile
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@@ -1,61 +0,0 @@
### LLaMACpp Multi-Instance Container with Nginx Load Balancer
### Based on llama-throughput-lab for maximum throughput
### Multiple llama-server instances + nginx for load balancing
###
### BUILD: podman build -t llamacpp:vulkan-multi-amd64 -f llamacpp-multi.Containerfile .
### Export: podman save -o /home/badstorm/llamacpp-vulkan-multi-amd64.tar localhost/llamacpp:vulkan-multi-amd64
FROM ubuntu:24.04
USER root
EXPOSE 8090 9000 9001 9002 9003
RUN apt-get update \
&& apt-get install -y curl tar grep sed git ffmpeg nano python3-pip python3 python3-wheel nginx supervisor \
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --break-system-packages -U "huggingface_hub[cli]" \
&& if [ -f requirements.txt ]; then pip install --break-system-packages -r requirements.txt; fi \
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
&& rm -rf /var/lib/apt/lists/* \
&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
&& find /var/cache -type f -delete
WORKDIR /app
RUN VERSION=$(curl -s https://api.github.com/repos/ggml-org/llama.cpp/releases/latest | grep '"tag_name"' | head -1 | sed 's/.*"tag_name": "\([^"]*\)".*/\1/') \
&& echo "Last llama.cpp version: $VERSION" \
&& curl -L https://github.com/ggml-org/llama.cpp/releases/download/${VERSION}/llama-${VERSION}-bin-ubuntu-vulkan-x64.tar.gz -o llama.tar.gz \
&& tar -xzf llama.tar.gz -C . --strip-components=1 \
&& rm llama.tar.gz
RUN chmod +x /app/llama-server
# Create startup script for multiple instances
RUN mkdir -p /app/bin /var/log && printf '#!/bin/bash\nset -e\n\nINSTANCES=${LLAMA_INSTANCES:-2}\nBASE_PORT=${LLAMA_BASE_PORT:-9000}\nREADY_TIMEOUT=${LLAMA_READY_TIMEOUT:-600}\n\necho "Starting $INSTANCES llama-server instances on ports $BASE_PORT-$((BASE_PORT+INSTANCES-1))"\n\nfor ((i=0; i<INSTANCES; i++)); do\n PORT=$((BASE_PORT + i))\n echo "Starting instance $((i+1))/$INSTANCES on port $PORT..."\n LLAMA_ARG_PORT=$PORT /app/llama-server \\\n > /var/log/llama-server-$PORT.log 2>&1 &\n sleep 3\ndone\n\necho "Waiting for servers to be ready..."\nfor ((i=0; i<INSTANCES; i++)); do\n PORT=$((BASE_PORT + i))\n elapsed=0\n while [ $elapsed -lt $READY_TIMEOUT ]; do\n if curl -s http://127.0.0.1:$PORT/health > /dev/null 2>&1; then\n echo "Instance on port $PORT is ready"\n break\n fi\n sleep 5\n elapsed=$((elapsed + 5))\n done\n if [ $elapsed -ge $READY_TIMEOUT ]; then\n echo "ERROR: Server on port $PORT did not become ready after ${READY_TIMEOUT}s"\n fi\ndone\n\necho "All instances ready. Monitoring logs..."\ntail -f /var/log/llama-server-*.log &\nwait\n' > /app/bin/start-multi-servers.sh && chmod +x /app/bin/start-multi-servers.sh
# Create nginx config template
RUN mkdir -p /etc/nginx/conf.d && printf 'upstream llama_backend {\n least_conn;\n server 127.0.0.1:9000 max_fails=3 fail_timeout=30s;\n server 127.0.0.1:9001 max_fails=3 fail_timeout=30s;\n server 127.0.0.1:9002 max_fails=3 fail_timeout=30s;\n server 127.0.0.1:9003 max_fails=3 fail_timeout=30s;\n}\n\nserver {\n listen 8090;\n server_name _;\n \n client_max_body_size 512M;\n \n location / {\n proxy_pass http://llama_backend;\n proxy_http_version 1.1;\n proxy_set_header Upgrade $http_upgrade;\n proxy_set_header Connection "upgrade";\n proxy_set_header Host $host;\n proxy_set_header X-Real-IP $remote_addr;\n proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;\n proxy_set_header X-Forwarded-Proto $scheme;\n proxy_buffering off;\n proxy_request_buffering off;\n proxy_read_timeout 600s;\n proxy_connect_timeout 30s;\n }\n \n location /health {\n access_log off;\n return 200 "healthy\\n";\n add_header Content-Type text/plain;\n }\n}\n' > /etc/nginx/conf.d/llama-upstream.conf
# Create supervisor config for managing both nginx and servers
RUN mkdir -p /etc/supervisor/conf.d && printf '[supervisord]\nnodaemon=true\nlogfile=/var/log/supervisor/supervisord.log\n\n[program:nginx]\ncommand=/usr/sbin/nginx -g "daemon off;"\nautostart=true\nautorestart=true\nstderr_logfile=/var/log/nginx/error.log\nstdout_logfile=/var/log/nginx/access.log\n\n[program:llama-servers]\ncommand=/app/bin/start-multi-servers.sh\nautostart=true\nautorestart=false\nstderr_logfile=/var/log/llama-servers.log\nstdout_logfile=/var/log/llama-servers.log\n' > /etc/supervisor/conf.d/llama-multi.conf
WORKDIR /app
ENV PATH=/app:/app/bin:$PATH
ENV LD_LIBRARY_PATH=/app:$LD_LIBRARY_PATH
ENV HF_HUB_ENABLE_HF_TRANSFER=1
ENV LLAMA_INSTANCES=2
ENV LLAMA_BASE_PORT=9000
ENV LLAMA_ARG_PARALLEL=32
ENV LLAMA_ARG_THREADS=16
ENV LLAMA_ARG_BATCH_SIZE=2048
ENV LLAMA_ARG_CTX_SIZE=131072
ENV LLAMA_ARG_HF_REPO=unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q2_K
ENV LLAMA_ARG_HOST=0.0.0.0
ENV LLAMA_READY_TIMEOUT=600
ENTRYPOINT ["/usr/bin/supervisord"]
CMD ["-c", "/etc/supervisor/conf.d/llama-multi.conf"]

129
Services/llamacpp-multi/README.md Normal file
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@@ -0,0 +1,129 @@
# LLaMACpp Multi-Instance Setup
Guida per configurare e scalare il numero di istanze di llama-server con load balancing nginx.
## Struttura Attuale
- **4 istanze** di llama-server (porte 9000-9003)
- **Nginx** come load balancer (porta 8090)
- **Supervisor** per gestire tutti i processi
## Aggiungere Istanze
Se vuoi aumentare il numero di istanze, segui questi step:
### 1. Modifica il Containerfile
File: `llamacpp-multi.Containerfile`
Cambia:
```dockerfile
ENV LLAMA_INSTANCES=4
```
Con il numero di istanze desiderato (es. 6):
```dockerfile
ENV LLAMA_INSTANCES=6
```
### 2. Aggiorna la Configurazione Nginx
File: `llama-upstream.conf`
Aggiungi i server nei porti nuovi nel blocco `upstream llama_backend`:
```nginx
upstream llama_backend {
least_conn;
server 127.0.0.1:9000 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9001 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9002 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9003 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9004 max_fails=3 fail_timeout=30s; # NUOVO
server 127.0.0.1:9005 max_fails=3 fail_timeout=30s; # NUOVO
}
```
### 3. Aggiorna il Containerfile con le porte esposte
File: `llamacpp-multi.Containerfile`
Aggiungi le nuove porte:
```dockerfile
EXPOSE 8090 9000 9001 9002 9003 9004 9005
```
### 4. Ricompila il Container
```bash
cd /home/badstorm/Source/bdi/bdi_podman_serverconf/Services/llamacpp-multi
podman build -t llamacpp:vulkan-multi-amd64 -f llamacpp-multi.Containerfile .
```
### 5. Riavvia il Servizio
```bash
systemctl restart llamacpp-multi
```
## Considerazioni di Risorse
Ogni istanza consuma:
- **~8GB VRAM** (dipende dal modello e da `LLAMA_ARG_CTX_SIZE`)
- **~1-2 CPU core** (dipende dal carico)
**Con GPU AMD Radeon (RENOIR):**
- 2 istanze: ✅ Stabile
- 4 istanze: ⚠️ Funziona ma monitorare memoria
- 6+ istanze: ❌ Probabilmente fuori di VRAM
Monitora con:
```bash
podman stats llamacpp-multi
```
## Variabili di Ambiente Modificabili
Nel file `.container` puoi sovrascrivere:
```ini
Environment=LLAMA_ARG_PARALLEL=32
Environment=LLAMA_ARG_THREADS=16
Environment=LLAMA_ARG_BATCH_SIZE=2048
Environment=LLAMA_ARG_CTX_SIZE=131072
Environment=LLAMA_ARG_HF_REPO=unsloth/Qwen3-Coder-Next-GGUF:Q2_K_XL
Environment=LLAMA_READY_TIMEOUT=600
```
## Testing
Una volta avviate le istanze, testa:
```bash
curl http://localhost:8090/v1/models
```
Dovresti vedere il modello listato se tutte le istanze sono pronte.
Test di carico (concurrent requests):
```bash
for i in {1..10}; do
curl -X POST http://localhost:8090/api/completion \
-H "Content-Type: application/json" \
-d '{"prompt": "Once upon a time", "n_predict": 64}' &
done
wait
```
## Troubleshooting
**502 Bad Gateway:**
```bash
podman exec llamacpp-multi tail -f /var/log/llama-server-9000.log
```
**Timeout Ready:**
Aumenta `LLAMA_READY_TIMEOUT` se il modello impiega più di 10 minuti a caricare.
**Out of Memory:**
Riduci `LLAMA_ARG_PARALLEL`, `LLAMA_ARG_BATCH_SIZE`, o `LLAMA_ARG_CTX_SIZE`.

17
Services/llamacpp-multi/llama-multi.conf Normal file
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[supervisord]
nodaemon=true
logfile=/var/log/supervisor/supervisord.log
[program:nginx]
command=/usr/sbin/nginx -g "daemon off;"
autostart=true
autorestart=true
stderr_logfile=/var/log/nginx/error.log
stdout_logfile=/var/log/nginx/access.log
[program:llama-servers]
command=/app/bin/start-multi-servers.sh
autostart=true
autorestart=false
stderr_logfile=/var/log/llama-servers.log
stdout_logfile=/var/log/llama-servers.log

35
Services/llamacpp-multi/llama-upstream.conf Normal file
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@@ -0,0 +1,35 @@
upstream llama_backend {
least_conn;
server 127.0.0.1:9000 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9001 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9002 max_fails=3 fail_timeout=30s;
server 127.0.0.1:9003 max_fails=3 fail_timeout=30s;
}
server {
listen 8090;
server_name _;
client_max_body_size 512M;
location / {
proxy_pass http://llama_backend;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection "upgrade";
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_buffering off;
proxy_request_buffering off;
proxy_read_timeout 600s;
proxy_connect_timeout 30s;
}
location /health {
access_log off;
return 200 "healthy\n";
add_header Content-Type text/plain;
}
}

62
Services/llamacpp-multi/llamacpp-multi.Containerfile Normal file
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@@ -0,0 +1,62 @@
### LLaMACpp Multi-Instance Container with Nginx Load Balancer
### Based on llama-throughput-lab for maximum throughput
### Multiple llama-server instances + nginx for load balancing
###
### BUILD: podman build -t llamacpp:vulkan-multi-amd64 -f llamacpp-multi.Containerfile .
### Export: podman save -o /home/badstorm/llamacpp-vulkan-multi-amd64.tar localhost/llamacpp:vulkan-multi-amd64
FROM ubuntu:24.04
USER root
EXPOSE 8090 9000 9001 9002 9003
RUN apt-get update \
&& apt-get install -y curl tar grep sed git ffmpeg nano python3-pip python3 python3-wheel nginx supervisor \
&& pip install --break-system-packages --upgrade setuptools \
&& pip install --break-system-packages -U "huggingface_hub[cli]" \
&& if [ -f requirements.txt ]; then pip install --break-system-packages -r requirements.txt; fi \
&& apt autoremove -y \
&& apt clean -y \
&& rm -rf /tmp/* /var/tmp/* \
&& rm -rf /var/lib/apt/lists/* \
&& find /var/cache/apt/archives /var/lib/apt/lists -not -name lock -type f -delete \
&& find /var/cache -type f -delete
WORKDIR /app
RUN VERSION=$(curl -s https://api.github.com/repos/ggml-org/llama.cpp/releases/latest | grep '"tag_name"' | head -1 | sed 's/.*"tag_name": "\([^"]*\)".*/\1/') \
&& echo "Last llama.cpp version: $VERSION" \
&& curl -L https://github.com/ggml-org/llama.cpp/releases/download/${VERSION}/llama-${VERSION}-bin-ubuntu-vulkan-x64.tar.gz -o llama.tar.gz \
&& tar -xzf llama.tar.gz -C . --strip-components=1 \
&& rm llama.tar.gz
RUN chmod +x /app/llama-server
# Copy startup script for multiple instances
COPY start-multi-servers.sh /app/bin/
RUN chmod +x /app/bin/start-multi-servers.sh
# Copy nginx config
COPY llama-upstream.conf /etc/nginx/conf.d/
# Copy supervisor config
COPY llama-multi.conf /etc/supervisor/conf.d/
WORKDIR /app
ENV PATH=/app:/app/bin:$PATH
ENV LD_LIBRARY_PATH=/app:$LD_LIBRARY_PATH
ENV HF_HUB_ENABLE_HF_TRANSFER=1
ENV LLAMA_INSTANCES=4
ENV LLAMA_BASE_PORT=9000
ENV LLAMA_ARG_PARALLEL=32
ENV LLAMA_ARG_THREADS=16
ENV LLAMA_ARG_BATCH_SIZE=2048
ENV LLAMA_ARG_CTX_SIZE=131072
ENV LLAMA_ARG_HF_REPO=unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q2_K
ENV LLAMA_ARG_HOST=0.0.0.0
ENV LLAMA_READY_TIMEOUT=600
ENTRYPOINT ["/usr/bin/supervisord"]
CMD ["-c", "/etc/supervisor/conf.d/llama-multi.conf"]

5
Services/llamacpp-multi.container → Services/llamacpp-multi/llamacpp-multi.container
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@@ -14,15 +14,14 @@ PodmanArgs=--group-add=keep-groups --ipc=host
SecurityLabelType=container_runtime_t SecurityLabelType=container_runtime_t
# Multi-instance configuration (throughput optimized) # Multi-instance configuration (throughput optimized)
Environment=LLAMA_INSTANCES=2 Environment=LLAMA_INSTANCES=4
Environment=LLAMA_BASE_PORT=9000 Environment=LLAMA_BASE_PORT=9000
Environment=LLAMA_ARG_HOST=0.0.0.0 Environment=LLAMA_ARG_HOST=0.0.0.0
Environment=LLAMA_ARG_PARALLEL=32 Environment=LLAMA_ARG_PARALLEL=32
Environment=LLAMA_ARG_THREADS=16 Environment=LLAMA_ARG_THREADS=16
Environment=LLAMA_ARG_BATCH_SIZE=2048 Environment=LLAMA_ARG_BATCH_SIZE=2048
Environment=LLAMA_ARG_UBATCH=512
Environment=LLAMA_ARG_CTX_SIZE=131072 Environment=LLAMA_ARG_CTX_SIZE=131072
Environment=LLAMA_ARG_HF_REPO=unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:Q2_K Environment=LLAMA_ARG_HF_REPO=unsloth/Qwen3-Coder-Next-GGUF:Q2_K_XL
# HF # HF
Environment=HF_HOME=/root/.cache/huggingface Environment=HF_HOME=/root/.cache/huggingface

37
Services/llamacpp-multi/start-multi-servers.sh Normal file
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#!/bin/bash
set -e
INSTANCES=${LLAMA_INSTANCES:-2}
BASE_PORT=${LLAMA_BASE_PORT:-9000}
READY_TIMEOUT=${LLAMA_READY_TIMEOUT:-600}
echo "Starting $INSTANCES llama-server instances on ports $BASE_PORT-$((BASE_PORT+INSTANCES-1))"
for ((i=0; i<INSTANCES; i++)); do
PORT=$((BASE_PORT + i))
echo "Starting instance $((i+1))/$INSTANCES on port $PORT..."
LLAMA_ARG_PORT=$PORT /app/llama-server \
> /var/log/llama-server-$PORT.log 2>&1 &
sleep 3
done
echo "Waiting for servers to be ready..."
for ((i=0; i<INSTANCES; i++)); do
PORT=$((BASE_PORT + i))
elapsed=0
while [ $elapsed -lt $READY_TIMEOUT ]; do
if curl -s http://127.0.0.1:$PORT/health > /dev/null 2>&1; then
echo "Instance on port $PORT is ready"
break
fi
sleep 5
elapsed=$((elapsed + 5))
done
if [ $elapsed -ge $READY_TIMEOUT ]; then
echo "ERROR: Server on port $PORT did not become ready after ${READY_TIMEOUT}s"
fi
done
echo "All instances ready. Monitoring logs..."
tail -f /var/log/llama-server-*.log &
wait