robit/ornith-1.5

robit/ ornith-1.5

110 Downloads Updated 1 week ago

Ornith-1.5 Vision + Tools + Thinking, a major step toward building foundation models through end-to-end self-improvement.

vision tools thinking 9b

ollama run robit/ornith-1.5:9b

curl http://localhost:11434/api/chat \
  -d '{
    "model": "robit/ornith-1.5:9b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='robit/ornith-1.5:9b',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'robit/ornith-1.5:9b',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Applications

Claude Code ollama launch claude --model robit/ornith-1.5:9b

OpenCode ollama launch opencode --model robit/ornith-1.5:9b

Hermes Agent ollama launch hermes --model robit/ornith-1.5:9b

OpenClaw ollama launch openclaw --model robit/ornith-1.5:9b

Models

View all →

Name

1 model

Size / Usage

Context

Input

ornith-1.5:9b

6.6GB · 256K context window · Text, Image · 1 week ago

ornith-1.5:9b

6.6GB

256K

Text, Image

Readme

Added Thinking + Tools to base Ornith-1.5, a major step toward building foundation models through end-to-end self-improvement.

Ornith-1.5 extends Ornith-1.0 by expanding the self-improvement loop from scaffold and rollout optimization to jointly optimizing task generation, scaffold construction, and solution rollouts. Rather than relying on a fixed set of human-curated tasks and manually designed harnesses, Ornith-1.5 continuously generates new training tasks, discovers effective strategies for solving them, and improves the policy through reinforcement learning. For more details on the task, harness, and rollout reward design, please refer to our blog.

Ornith-1.5-9B