Havenlon/ Execution-Boundary-Qwen35-0.8B-Q4_K_M

27 Downloads Updated 1 week ago

A lightweight Havenlon-focused Qwen3.5 0.8B model for execution-boundary concepts, local policy reasoning, and constrained edge deployment.

ollama run Havenlon/Execution-Boundary-Qwen35-0.8B-Q4_K_M

curl http://localhost:11434/api/chat \
  -d '{
    "model": "Havenlon/Execution-Boundary-Qwen35-0.8B-Q4_K_M",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='Havenlon/Execution-Boundary-Qwen35-0.8B-Q4_K_M',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'Havenlon/Execution-Boundary-Qwen35-0.8B-Q4_K_M',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

Name

1 model

Size / Usage

Context

Input

Execution-Boundary-Qwen35-0.8B-Q4_K_M:latest

529MB · 256K context window · Text · 1 week ago

Execution-Boundary-Qwen35-0.8B-Q4_K_M:latest

529MB

256K

Text

Readme

Execution-Boundary-Qwen35-0.8B-Q4_K_M

A lightweight Havenlon-focused Qwen3.5 0.8B model for reasoning about execution boundaries, execution control, intent validation, and AI Agent execution risk.

This model is designed for small local and edge environments where model size and deployment cost matter.

Focus

Execution boundary reasoning
Intent vs. Execution
Policy and authorization boundaries
Fail-Secure behavior
Evidence-aware execution decisions
AI Agent execution risk
Havenlon execution-control concepts

Run

ollama run Havenlon/Execution-Boundary-Qwen35-0.8B-Q4_K_M

Quantization

Q4_K_M

Positioning

This is the smallest model in the Havenlon Execution Boundary series.

It is intended for lightweight local assistance, simple domain questions, edge-side reasoning, and constrained deployment environments.

Havenlon focuses on a simple question:

When software can trigger real-world actions, what determines whether the action should actually happen?

The model is intended to help reason about that boundary without treating authentication, approval, policy, or software intent as equivalent to final execution authority.

# Execution-Boundary-Qwen35-0.8B-Q4_K_M

A lightweight Havenlon-focused Qwen3.5 0.8B model for reasoning about execution boundaries, execution control, intent validation, and AI Agent execution risk.

This model is designed for small local and edge environments where model size and deployment cost matter.

## Focus

- Execution boundary reasoning
- Intent vs. Execution
- Policy and authorization boundaries
- Fail-Secure behavior
- Evidence-aware execution decisions
- AI Agent execution risk
- Havenlon execution-control concepts

## Run

```bash
ollama run Havenlon/Execution-Boundary-Qwen35-0.8B-Q4_K_M
```

## Quantization

Q4_K_M

## Positioning

This is the smallest model in the Havenlon Execution Boundary series.

It is intended for lightweight local assistance, simple domain questions, edge-side reasoning, and constrained deployment environments.

Havenlon focuses on a simple question:

> When software can trigger real-world actions, what determines whether the action should actually happen?

The model is intended to help reason about that boundary without treating authentication, approval, policy, or software intent as equivalent to final execution authority.

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