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Zyrabit Forge — Sovereign AI Infrastructure

Enterprise Local Inference Engine & 3B SLM Suite

PUBLIC BETA NOTICE (v1.0.0-beta.1-sovereign): The models hosted in this repository represent active Proof-of-Concept (PoC) builds fine-tuned on Tenstorrent Blackhole p150 NPU silicon. They are designed for structured B2B agentic tasks under isolated environments.

Production Model Catalog (3B SLM Suite)

Model ID Domain / Function Format Size Target Hardware
zyra-agent-hunter B2B Signal Extraction & ICP Discovery Q5_K_M 2.1 GB Tenstorrent Blackhole / CPU / GPU
zyra-agent-sentinel In-RAM PII Sanitization & GDPR Audit Q5_K_M 2.1 GB Tenstorrent Blackhole / CPU / GPU
zyra-agent-closer Financial ROI & Token-Cost Calculation Q5_K_M 2.1 GB Tenstorrent Blackhole / CPU / GPU
zyra-agent-strategist Infrastructure Topology & NPU Mapping Q5_K_M 2.1 GB Tenstorrent Blackhole / CPU / GPU
zyra-multitask-master Unified Multi-Agent Orchestrator Node Q5_K_M 2.1 GB Tenstorrent Blackhole / CPU / GPU

Recommended Enterprise Runtime: Zyrabit Platform Docker Stack

The optimal and secure way to deploy Zyrabit SLMs in enterprise environments is via the official Zyrabit SLM Docker runtime.

docker pull zyrabitcore/zyrabit-slm:2.4.1

docker run -d \
  --name zyrabit-api \
  -p 8088:8080 \
  -e INFERENCE_PROVIDER=ollama \
  -e SLM_URL=http://host.docker.internal:11434 \
  -e MODEL_NAME=zyra-agent-hunter \
  -e ZYRABIT_API_KEY_WEB=your-secure-token \
  zyrabitcore/zyrabit-slm:2.4.1
      

Full Sovereign Stack Execution (with Tenstorrent NPU support):

git clone https://github.com/Zyrabit-tech/zyrabit-SLM.git
cd zyrabit-SLM

docker compose --profile db --profile tenstorrent up -d
      

Manual Execution Guide (Ollama & ChatML)

To prevent token looping, configure the ChatML template and stop tokens in your Ollama Modelfile:

FROM ./zyra-agent-hunter-Q5_K_M.gguf

TEMPLATE """<|im_start|>system
{{ .System }}<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ .Response }}<|im_end|>"""

SYSTEM """You are Zyra Agent Hunter, a specialized B2B outreach SLM by Zyrabit-IA."""

PARAMETER stop "<|im_start|>"
PARAMETER stop "<|im_end|>"
PARAMETER temperature 0.2
PARAMETER repeat_penalty 1.15
      

Dataset Lineage & Hardware Metrics

+---------------------------------------------------------------------------------+
|              TRACEABILITY & HARDWARE BENCHMARK MATRIX                           |
+---------------------------------------------------------------------------------+
|  * Architecture Base        | Qwen2.5 (3B Parameters)                           |
|  * Fine-Tuning Hardware     | Tenstorrent Blackhole NPU (p150) / Arch.BLACKHOLE |
|  * Dataset Verification     | 2,000 Sanitized Expert Pairs (v1.0.0-sovereign)   |
|  * JSON Schema Compliance   | 100.0% Structural Output Accuracy               |
|  * Air-Gap Network Egress   | 0 Bytes Outbound (Isolated Execution)             |
+---------------------------------------------------------------------------------+
      
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