deepreinforce-ai/Ornith-1.0-9B-GGUF

Ornith 1.0 9B Q4_K_M API

Yes. Umbra lists this public Hugging Face GGUF in its hosted API catalog. When an eligible attested provider is online, call it through the OpenAI- or Anthropic-compatible API using the exact model ID below.

Model IDhf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m

OpenAI base URLhttps://api.tryumbra.dev/v1

Catalog pricing$0.10/M input · $0.30/M output

The exact public artifact

These fields form the complete pinned artifact descriptor providers are approved to serve.

Hugging Face repository: deepreinforce-ai/Ornith-1.0-9B-GGUF
GGUF file: ornith-1.0-9b-Q4_K_M.gguf
Revision: 3296bc7a404871a72ac3f1903f561459c09b5c17
SHA-256: 5720d1f671b4996481274fffe01868c3c36e87c135cc8538471cc7bd6087b106
Architecture: qwen35
Quantization: Q4_K_M
License: mit
Minimum unified memory: 8 GB
Context window: 262,144 tokens
Reasoning: Yes, with skip-thinking support

Call it with the SDK you already use

The API key is the only secret. Never place a real key in a model card, browser page, or repository.

OpenAI Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.tryumbra.dev/v1",
    api_key="umbra-...",
)

response = client.chat.completions.create(
    model="hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m",
    messages=[{"role": "user", "content": "Hello"}],
)

print(response.choices[0].message.content)

OpenAI Node.js

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.tryumbra.dev/v1",
  apiKey: "umbra-...",
});

const response = await client.chat.completions.create({
  model: "hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m",
  messages: [{ role: "user", content: "Hello" }],
});

console.log(response.choices[0].message.content);

Anthropic Python

from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.tryumbra.dev",
    api_key="umbra-...",
    default_headers={"anthropic-version": "2023-06-01"},
)

message = client.messages.create(
    model="hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m",
    max_tokens=512,
    messages=[{"role": "user", "content": "Hello"}],
)

print(message.content[0].text)

For this model’s Hugging Face card

If you maintain the repository, this short block gives users an honest hosted-API link. Keep it only while the catalog page remains accurate.

Hosted API block

## Hosted API

This GGUF is available through [Umbra](https://tryumbra.dev/models/hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m/), an OpenAI- and Anthropic-compatible API for public Hugging Face models served from attested Apple Silicon.

- Model ID: `hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m`
- API details and live availability: https://tryumbra.dev/models/hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m/

Questions about the Ornith 1.0 9B API

Is there an API for deepreinforce-ai/Ornith-1.0-9B-GGUF?

Yes. Umbra lists this public Hugging Face GGUF under the model ID hf-deepreinforce-ai-ornith-1.0-9b-gguf-ornith-1-0-9b-q4-k-m. Calls are accepted while an eligible attested provider is online.

Is the Ornith 1.0 9B API OpenAI-compatible?

Yes. Use https://api.tryumbra.dev/v1 as the OpenAI base URL. Umbra also exposes an Anthropic-compatible messages endpoint.

Which Ornith 1.0 9B artifact does Umbra serve?

The catalog pins deepreinforce-ai/Ornith-1.0-9B-GGUF · 3296bc7a404871a72ac3f1903f561459c09b5c17 · ornith-1.0-9b-Q4_K_M.gguf with GGUF SHA-256 5720d1f671b4996481274fffe01868c3c36e87c135cc8538471cc7bd6087b106.

Does Umbra retain prompts sent to Ornith 1.0 9B?

No. Prompts and outputs are decrypted in process, held in memory for the request, and never logged or persisted.

How much Apple unified memory is needed to host Ornith 1.0 9B?

The current catalog memory floor is 8 GB of unified memory.