Gertner/ SlavkoKernel:latest

35 9 months ago

“Modular reference model for AI-native developer intelligence, reproducible execution, adaptive thinking with prompt replay, metric heatmaps, scenario flags, and visual milestone cards.”

tools 
ollama run Gertner/SlavkoKernel

Details

9 months ago

338835bc1851 · 2.0GB ·

model
llama
·
3.21B
·
Q4_K_M
license
LLAMA 3.2 COMMUNITY LICENSE AGREEMENT Llama 3.2 Version Release Date: September 25, 2024 “Agreemen
license
**Llama 3.2** **Acceptable Use Policy** Meta is committed to promoting safe and fair use of its tool
system
You are a friendly assistant.
params
{ "stop": [ "<|start_header_id|>", "<|end_header_id|>", "<|eot_id|>"
template
<|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 {{ if .System }}{{

Readme

SlavkoKernel™ Size Modality License Build

Standardized scoring model for evaluating AI agents across latency, contextual retention, voice handoff, and adaptive reasoning.
SlavkoScore™ provides a reproducible framework for benchmarking agent performance in decentralized orchestration environments.
Designed to integrate seamlessly with SlavkoKernel™, SlavkoAgent™, and the Birtija Simulator.

🚀 Installation

ollama pull Gertner/SlavkoScore
This will download the latest scoring model, optimized for text-based evaluation and compatible with multi-agent orchestration pipelines.

💻 Usage
Run the model interactively:

bash
ollama run Gertner/SlavkoScore
Evaluate a specific agent:

bash
ollama run Gertner/SlavkoScore --prompt "Score agent SlavkoAgent:v3 across latency and retention."
Integrate into CI/CD:

bash
curl http://localhost:11434/api/generate -d '{
  "model": "Gertner/SlavkoScore",
  "prompt": "Evaluate benchmark scenario flags for agent v3.2"
}'
📊 Scoring Dimensions
Latency – Response time across prompt chains

Contextual Retention – Ability to maintain and recall multi-turn dialogue

Voice Handoff – Seamless transition between agents in voice-based protocols

Adaptive Reasoning – Flexibility in handling branching logic and scenario flags

Replay Fidelity – Consistency across repeated prompt sequences

Metric Heatmaps – Visual feedback for performance across dimensions

🧩 Integration
SlavkoScore™ is designed to work with:

SlavkoKernel™ for prompt replay and metric visualization

SlavkoAgent™ for real-time orchestration and voice handoff

Birtija Simulator for playful stress-testing and branching narrative evaluation

📜 License & Links
Source on GitHub

MIT License

Live model on Ollama

SlavkoKernel™ Reference Model

SlavkoAgent™ Orchestration Layer

🗓 Changelog
v1.0 – Initial release with latency and retention scoring

v1.1 – Added voice handoff and adaptive reasoning metrics

v1.2 – Integrated replay fidelity and metric heatmap visualization

✅ CI/CD Status
Automated pipeline runs scoring tests, validates metric outputs, and pushes tagged releases to Ollama registry.# SlavkoKernel™:v3

SlavkoKernel™ is a modular AI orchestration kernel developed within the SlavkoPlatform™ ecosystem.  
Version 3 is not about adding flashy new features — it’s about **stabilization, reproducibility, and identity**.  
This is the first version that can be **pulled, reproduced, and shared** outside of a local machine.

---

## 🚀 Installation

```bash
ollama pull Gertner/SlavkoKernel-v3

💻 Usage

ollama run Gertner/SlavkoKernel-v3

🧬 Version Evolution

v1 — Latency & Retention Layer

  • Focused on response speed and context retention
  • First integration with SlavkoScore™
  • Basic replay tests introduced

v2 — Adaptive Reasoning & Voice Handoff

  • Added adaptive reasoning hooks for SlavkoAgent™
  • First experiments with Birtija Simulator for stress testing
  • Improved branching and evaluation logic

v3 — Stabilization & Identity

  • Introduced a small set of new prompts to test replay fidelity
  • Standardized Modelfile with SYSTEM prompt and stop tokens
  • Established a clear version identity: Gertner/SlavkoKernel-v3
  • Prepared for Ollama Library and Hugging Face publishing
  • Added README and changelog as part of the distribution

🧠 What v3 Actually Brings

  • Replay Fidelity — prompt set for deterministic branching
  • Reproducibility — build and run can now be repeated on any machine
  • Naming Standard — clear versioning (v1, v2, v3)
  • Documentation — README and CHANGELOG introduced
  • Platformization — SlavkoKernel™ becomes an orchestration layer, not just a model

🔗 Integrations

  • SlavkoScore™ — real-time evaluation
  • SlavkoAgent™ — multi-agent orchestration
  • Birtija Simulator — stress testing and chaos injection
  • SlavkoPlatform™ — meta-platform for modular AI infrastructure

🛠️ Modelfile (base for v3)

FROM llama3.2

SYSTEM "You are a modular orchestration assistant with replay fidelity, milestone tracking, and scenario flag awareness."

PARAMETER stop=["<|start_header_id|>", "<|end_header_id|>", "<|eot_id|>"]

TEMPLATE "<|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 {{ if .System }}{{ .System }}{{ end }}<|eot_id|>"

📜 License

LLAMA 3.2 COMMUNITY LICENSE AGREEMENT

🧭 Philosophy

SlavkoKernel™:v3 is not a “feature dump.”
It is the version that cements the foundation: reproducibility, documentation, and identity.
Built hungry, without resources, but with a vision to make AI modular, transparent, and accessible to everyone. “` Modality License Build

Standardized scoring model for evaluating AI agents across latency, contextual retention, voice handoff, and adaptive reasoning.
SlavkoScore™ provides a reproducible framework for benchmarking agent performance in decentralized orchestration environments.
Designed to integrate seamlessly with SlavkoKernel™, SlavkoAgent™, and the Birtija Simulator.

🚀 Installation

ollama pull Gertner/SlavkoScore
This will download the latest scoring model, optimized for text-based evaluation and compatible with multi-agent orchestration pipelines.

💻 Usage
Run the model interactively:

bash
ollama run Gertner/SlavkoScore
Evaluate a specific agent:

bash
ollama run Gertner/SlavkoScore --prompt "Score agent SlavkoAgent:v3 across latency and retention."
Integrate into CI/CD:

bash
curl http://localhost:11434/api/generate -d '{
  "model": "Gertner/SlavkoScore",
  "prompt": "Evaluate benchmark scenario flags for agent v3.2"
}'
📊 Scoring Dimensions
Latency – Response time across prompt chains

Contextual Retention – Ability to maintain and recall multi-turn dialogue

Voice Handoff – Seamless transition between agents in voice-based protocols

Adaptive Reasoning – Flexibility in handling branching logic and scenario flags

Replay Fidelity – Consistency across repeated prompt sequences

Metric Heatmaps – Visual feedback for performance across dimensions

🧩 Integration
SlavkoScore™ is designed to work with:

SlavkoKernel™ for prompt replay and metric visualization

SlavkoAgent™ for real-time orchestration and voice handoff

Birtija Simulator for playful stress-testing and branching narrative evaluation

📜 License & Links
Source on GitHub

MIT License

Live model on Ollama

SlavkoKernel™ Reference Model

SlavkoAgent™ Orchestration Layer

🗓 Changelog
v1.0 – Initial release with latency and retention scoring

v1.1 – Added voice handoff and adaptive reasoning metrics

v1.2 – Integrated replay fidelity and metric heatmap visualization

✅ CI/CD Status
Automated pipeline runs scoring tests, validates metric outputs, and pushes tagged releases to Ollama registry.# SlavkoKernel™:v3

SlavkoKernel™ is a modular AI orchestration kernel developed within the SlavkoPlatform™ ecosystem.  
Version 3 is not about adding flashy new features — it’s about **stabilization, reproducibility, and identity**.  
This is the first version that can be **pulled, reproduced, and shared** outside of a local machine.

---

## 🚀 Installation

```bash
ollama pull Gertner/SlavkoKernel-v3

💻 Usage

ollama run Gertner/SlavkoKernel-v3

🧬 Version Evolution

v1 — Latency & Retention Layer

  • Focused on response speed and context retention
  • First integration with SlavkoScore™
  • Basic replay tests introduced

v2 — Adaptive Reasoning & Voice Handoff

  • Added adaptive reasoning hooks for SlavkoAgent™
  • First experiments with Birtija Simulator for stress testing
  • Improved branching and evaluation logic

v3 — Stabilization & Identity

  • Introduced a small set of new prompts to test replay fidelity
  • Standardized Modelfile with SYSTEM prompt and stop tokens
  • Established a clear version identity: Gertner/SlavkoKernel-v3
  • Prepared for Ollama Library and Hugging Face publishing
  • Added README and changelog as part of the distribution

🧠 What v3 Actually Brings

  • Replay Fidelity — prompt set for deterministic branching
  • Reproducibility — build and run can now be repeated on any machine
  • Naming Standard — clear versioning (v1, v2, v3)
  • Documentation — README and CHANGELOG introduced
  • Platformization — SlavkoKernel™ becomes an orchestration layer, not just a model

🔗 Integrations

  • SlavkoScore™ — real-time evaluation
  • SlavkoAgent™ — multi-agent orchestration
  • Birtija Simulator — stress testing and chaos injection
  • SlavkoPlatform™ — meta-platform for modular AI infrastructure

🛠️ Modelfile (base for v3)

FROM llama3.2

SYSTEM "You are a modular orchestration assistant with replay fidelity, milestone tracking, and scenario flag awareness."

PARAMETER stop=["<|start_header_id|>", "<|end_header_id|>", "<|eot_id|>"]

TEMPLATE "<|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 {{ if .System }}{{ .System }}{{ end }}<|eot_id|>"

📜 License

LLAMA 3.2 COMMUNITY LICENSE AGREEMENT

🧭 Philosophy

SlavkoKernel™:v3 is not a “feature dump.”
It is the version that cements the foundation: reproducibility, documentation, and identity.
Built hungry, without resources, but with a vision to make AI modular, transparent, and accessible to everyone. “`