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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>
11 lines
238 B
YAML
11 lines
238 B
YAML
model: meta-llama/Llama-3.1-8B-Instruct
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host: "0.0.0.0"
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port: 8001
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uvicorn-log-level: "info"
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gpu-memory-utilization: 0.85
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max-model-len: 24576
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dtype: auto
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enforce-eager: false
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enable-auto-tool-choice: true
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tool-call-parser: "llama3_json"
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