dr-ry/ foundation-sec-8b-instruct-chat-GGUF:latest

130 Downloads Updated 1 year ago

ollama run dr-ry/foundation-sec-8b-instruct-chat-GGUF

curl http://localhost:11434/api/chat \
  -d '{
    "model": "dr-ry/foundation-sec-8b-instruct-chat-GGUF",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='dr-ry/foundation-sec-8b-instruct-chat-GGUF',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'dr-ry/foundation-sec-8b-instruct-chat-GGUF',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Details

Updated 1 year ago

1 year ago

447a119494d3 · 4.9GB ·

model

archllama

·

parameters8.03B

·

quantizationQ4_K_M

4.9GB

template

{{- $hasSystem := and (gt (len .Messages) 0) (eq (index .Messages 0).Role "system") -}} <|system|> {

3.0kB

Readme

🛡️ Foundation-Sec-8B-Instruct (Metis)

Metis is a cybersecurity-specialized instruction model, built on top of Llama-3.1-8B and trained with 5B+ security tokens.
It is tuned to act as a senior-level cybersecurity assistant — precise, professional, and context-aware.

This Ollama release includes the full chat template and parameters, so the model is instruction-ready out of the box.

🚀 Quickstart

Pull and run directly:
ollama pull dr-ry/foundation-sec-8b-instruct-chat-GGUF ollama run dr-ry/foundation-sec-8b-instruct-chat-GGUF

No Modelfile needed — the chat template is already embedded.

🧩 Example Uses

Ask Metis to:

Write Splunk SPL or Sigma detection queries
Explain and validate CVEs, CWEs, ATT&CK techniques
Generate YARA / Suricata / Snort rules
Assess cloud security configs (JSON, Terraform, YAML, XML)
Summarize threat intel reports or attacker tradecraft

🔑 Model Identity

Name: Metis (Foundation-Sec-8B-Instruct)
Domain: Cybersecurity (threat hunting, CTI, cloud security, detection engineering, IR)
Release: April 2025
Base: Llama-3.1-8B
Specialization: Instruction-tuned with 5B+ curated cybersecurity tokens

📦 Quantizations Available

Q4_K_M — ~5 GB, fast and memory-efficient
Q8_0 — ~9 GB, higher fidelity

📝 Notes

Responses are optimized for cybersecurity tasks only.
If asked harmful, unrelated, or unsafe questions (e.g. malware generation), Metis will politely refuse.
Always verify and test security content (detections, configs) in your environment.

🔗 Links

Base model: fdtn-ai/Foundation-Sec-8B-Instruct
Ollama: https://ollama.ai

# 🛡️ Foundation-Sec-8B-Instruct (Metis)

**Metis** is a cybersecurity-specialized instruction model, built on top of **Llama-3.1-8B** and trained with **5B+ security tokens**.  
It is tuned to act as a senior-level cybersecurity assistant — precise, professional, and context-aware.

This Ollama release includes the full **chat template** and parameters, so the model is instruction-ready out of the box.

---

## 🚀 Quickstart

Pull and run directly: <br>
`ollama pull dr-ry/foundation-sec-8b-instruct-chat-GGUF`
`ollama run dr-ry/foundation-sec-8b-instruct-chat-GGUF`

No Modelfile needed — the chat template is already embedded.

### 🧩 Example Uses
Ask Metis to:

- Write Splunk SPL or Sigma detection queries
- Explain and validate CVEs, CWEs, ATT&CK techniques
- Generate YARA / Suricata / Snort rules
- Assess cloud security configs (JSON, Terraform, YAML, XML)
- Summarize threat intel reports or attacker tradecraft

### 🔑 Model Identity

- Name: Metis (Foundation-Sec-8B-Instruct)
- Domain: Cybersecurity (threat hunting, CTI, cloud security, detection engineering, IR)
- Release: April 2025
- Base: Llama-3.1-8B
- Specialization: Instruction-tuned with 5B+ curated cybersecurity tokens

### 📦 Quantizations Available

- Q4_K_M — ~5 GB, fast and memory-efficient
- Q8_0 — ~9 GB, higher fidelity

### 📝 Notes

- Responses are optimized for cybersecurity tasks only.
- If asked harmful, unrelated, or unsafe questions (e.g. malware generation), Metis will politely refuse.
- Always verify and test security content (detections, configs) in your environment.

### 🔗 Links

- Base model: fdtn-ai/Foundation-Sec-8B-Instruct
- Ollama: https://ollama.ai

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