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Model card on Hugging Face
Ornith 1.5
by DeepReinforce
Chat
Vision
Tools
Thinking
Ornith 1.5 is DeepReinforce's second-generation reasoning model, trained through a self-improvement loop in which the model proposes its own tasks, builds the scaffolding to solve them, and learns from the resulting rollouts. It reasons step by step before answering, calls tools natively, and reads images as well as text. A 262K-token context and a choice of dense 9B or sparse 35B sizes suit it to long agentic coding and research work.
- Publisher
- DeepReinforce
- API model name
- ornith-1.5:35b
- Context window
- 256K tokens
- Sizes
- 35B, 9B
- Licence
- MIT
Run Ornith 1.5
Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.
Chat
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="ornith-1.5:35b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Vision
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="ornith-1.5:35b",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
],
}
],
)
print(response.choices[0].message.content)Run Ornith 1.5 on your own UK infrastructure
Deploy a worker, install Ornith 1.5, and start serving it through one sovereign API endpoint.