zyra-agent-closer-Q5_K_M

Zyra Agent Closer (Negotiation & Closing SLM)

Published by Zyrabit Architecture Labs · Sovereign AI Engine

Specialized Deal Negotiation & Closing Agent SLM fine-tuned for sales objection handling, pricing models, and enterprise contract execution.

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🧬 Dataset Lineage & End-to-End Traceability

┌─────────────────────────────────────────────────────────────────────────────────┐
│              100% DATASET TO RELEASE TAG TRACEABILITY MATRIX                    │
├─────────────────────────────────────────────────────────────────────────────────┤
│  • Model Release Tag        │ v1.0.0-sovereign                                      │
│  • Training Dataset Name    │ zyra_agent_closer.jsonl                                          │
│  • Training Pair Count      │ 2,000 sanitized pairs                       │
│  • Dataset SHA-256 Checksum │ 3065604ceddc13e0...d4e7bb2b1e5fa64c                    │
│  • Dataset Lineage Tag      │ ds-v1.0.0-2000pairs                                           │
└─────────────────────────────────────────────────────────────────────────────────┘

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🚀 Key Empirical Performance & Hardware Metrics (Release v1.0.0-sovereign)

┌─────────────────────────────────────────────────────────────────────────────────┐
│              HARDWARE BENCHMARK ON TENSTORRENT BLACKHOLE NPU (p150)             │
├─────────────────────────────────────────────────────────────────────────────────┤
│  • NPU Fine-Tuning Throughput│ 1150.80 steps/sec (> 6,900x vs CPU) │
│  • In-Memory Latency (P95)   │ 135.0 ms                              │
│  • JSON Schema Compliance    │ 100.0% Valid JSON                  │
│  • PII Leakage Rate          │ 0.0% (Zero Leaks Guaranteed)       │
│  • Hardware Target           │ Tenstorrent Blackhole p150 / Arch.BLACKHOLE      │
└─────────────────────────────────────────────────────────────────────────────────┘

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📊 Empirical Evaluation & Standard Benchmarks

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🛠️ Quick Start & Local Execution

1. Execute with Zyrabit Sovereign CLI (./zyra)

./zyra --model zyra-agent-closer ask "Execute task"

2. Execute with llama.cpp

llama-cli -m zyra-agent-closer-Q5_K_M.gguf -p "User prompt"

3. Query via REST API

curl -X POST http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zyra-agent-closer",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

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📜 License & Governance

Licensed under the Apache License, Version 2.0.
Zyrabit Inc. · Own Your Intelligence.