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runpod-ai-orchestrator/services/vllm/config_llama.yaml
Sebastian Krüger f668e06228
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feat: add BGE embedding model for concurrent operation with Llama
- Create config_bge.yaml for BAAI/bge-large-en-v1.5 on port 8002
- Reduce Llama VRAM to 70% and context to 16K for concurrent use
- Add BGE service to supervisor with vllm group

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-30 19:55:13 +01:00

11 lines
238 B
YAML

model: meta-llama/Llama-3.1-8B-Instruct
host: "0.0.0.0"
port: 8001
uvicorn-log-level: "info"
gpu-memory-utilization: 0.70
max-model-len: 16384
dtype: auto
enforce-eager: false
enable-auto-tool-choice: true
tool-call-parser: "llama3_json"