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runpod-ai-orchestrator/services/vllm/config_bge.yaml
Sebastian Krüger f8694653d0
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fix: adjust VRAM for 24K context based on actual usage
Based on error output, model uses ~17.5GB (not 15GB estimated).
- Llama: 85% VRAM for 24576 context (3GB KV cache)
- BGE: 6% VRAM (reduced to fit)
- Total: 91%

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-30 22:46:34 +01:00

8 lines
139 B
YAML

model: BAAI/bge-large-en-v1.5
host: "0.0.0.0"
port: 8002
uvicorn-log-level: "info"
gpu-memory-utilization: 0.06
dtype: float16
task: embed