Just a Rather Very Intelligent System

tools 3b

ollama run fotiecodes/jarvis

curl http://localhost:11434/api/chat \
  -d '{
    "model": "fotiecodes/jarvis",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='fotiecodes/jarvis',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'fotiecodes/jarvis',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model fotiecodes/jarvis

Codex ollama launch codex --model fotiecodes/jarvis

OpenCode ollama launch opencode --model fotiecodes/jarvis

OpenClaw ollama launch openclaw --model fotiecodes/jarvis

Models

View all →

Name

2 models

Size

Context

Input

jarvis:latest

3.8GB · 4K context window · Text · 1 year ago

jarvis:latest

3.8GB

Text

jarvis:3b

2.0GB · 128K context window · Text · 1 year ago

jarvis:3b

2.0GB

128K

Text

Readme

Jarvis

The J.A.R.V.I.S Large Language Model, 100% offline

We have use custom jarvis dataset and various other open datasets on the internet of jarvis’s dialog with stark to fine-tune on top of Llama2 7b

Content:

Dataset here | dataset is being created progresively
Model: here | Updated every week or so

Jarvis is bing built with privacy in mind, everything runs locally. This fine-tuned model is better at responding like jarvis and producing response in the best jarvis tone possible.

Why Jarvis?

Well, simple. I have always wanted to have my very own Jarvis, now i’m not talking about a siri clone or google home assitant clone. I am talking about my very own Jarvis, talks like jarvis, response like jarvis, feels like jarvis in the most accurate way possible.

* This project was inspired by “J.A.R.V.I.S” from the Marvel movie series.

Project repo: Link

Disclaimer: Jarvis can make mistakes. Consider checking important information.

<h1>Jarvis</h1>

<p>The J.A.R.V.I.S Large Language Model, 100% offline</p>

<p>We have use custom jarvis dataset and various other open datasets on the internet of jarvis’s dialog with stark to fine-tune on top of Llama2 7b</p>

<h2>Content:</h2>

<ul>
<li>Dataset <a href="https://huggingface.co/datasets/fotiecodes/jarvis-llama2-dataset" rel="nofollow">here</a> | dataset is being created progresively</li>
<li>Model: <a href="https://huggingface.co/fotiecodes/Llama-2-7b-chat-jarvis" rel="nofollow">here</a> | Updated every week or so</li>
</ul>

<p>Jarvis is bing built with privacy in mind, everything runs locally.
This fine-tuned model is better at responding like jarvis and producing response in the best jarvis tone possible.</p>

<h2>Why Jarvis?</h2>

<p>Well, simple. I have always wanted to have my very own Jarvis, now i’m not talking about a siri clone or google home assitant clone. I am talking about my very own Jarvis, talks like jarvis, response like jarvis, feels like jarvis in the most accurate way possible.</p>

<h6>* This project was inspired by “J.A.R.V.I.S” from the Marvel movie series.</h6>

<p>Project repo: <a href="https://github.com/FotieMConstant/J.A.R.V.I.S" rel="nofollow">Link</a></p>

<p>Disclaimer: Jarvis can make mistakes. Consider checking important information.</p>

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