Ornith-1.5-9B-DFlash-GGUF-etheroi

Instructions to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Use Docker

docker model run hf.co/developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

LM Studio
Jan

vLLM

How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Ollama
How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with Ollama:
```
ollama run hf.co/developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M
```
Unsloth Desktop

How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with Docker Model Runner:
```
docker model run hf.co/developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M
```

Lemonade

How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Run and chat with the model

lemonade run user.Ornith-1.5-9B-DFlash-GGUF-etheroi-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "developerjeremylive/Ornith-1.5-9B-DFlash-GGUF-etheroi:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

developerjeremylive

abenzerps commited on 1 day ago

Commit

9d5ab63

0 Parent(s):

Duplicate from abenzerps/Ornith-1.5-9B-DFlash-GGUF

Browse files

Co-authored-by: Ahmet Benzer <abenzerps@users.noreply.huggingface.co>

Files changed (8) hide show

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LICENSE ADDED Viewed

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+MIT License
+Copyright (c) 2026 Ornith AI
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+---
+### Additional Attribution & Notices
+- **Upstream Model:** Ornith-1.5-9B by Ornith AI (https://huggingface.co/ornith-ai/Ornith-1.5-9B)
+- **Official GGUF Release:** Ornith-1.5-9B-GGUF (https://huggingface.co/ornith-ai/Ornith-1.5-9B-GGUF)
+- **Quantization Framework:** llama.cpp / GGML (MIT License, Copyright (c) 2023-2026 Georgi Gerganov and llama.cpp contributors)
+- **Quantization Recipe:** GSQ-RCO optimization applied by the GSQ-RCO research team (2026).

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+---
+language:
+- en
+license: mit
+library_name: gguf
+tags:
+- text-generation
+- dflash
+- speculative-decoding
+- draft-model
+- block-diffusion
+- llama.cpp
+- quantized
+- reasoning
+- ornith
+base_model: ornith-ai/Ornith-1.5-9B-GGUF
+base_model_relation: quantized
+pipeline_tag: text-generation
+---
+# Ornith-1.5-9B DFlash GGUF
+Official GGUF quantizations of [ornith-ai/Ornith-1.5-9B-DFlash](https://huggingface.co/ornith-ai/Ornith-1.5-9B-DFlash), the speculative decoding draft model designed to accelerate [ornith-ai/Ornith-1.5-9B](https://huggingface.co/ornith-ai/Ornith-1.5-9B) inference in `llama.cpp`.
+## Overview
+This is a **speculative decoding draft model** (Block-Diffusion / DFlash architecture), not a standalone language model.
+It runs alongside [Ornith-1.5-9B GGUF](https://huggingface.co/ornith-ai/Ornith-1.5-9B-GGUF) to increase generation throughput by drafting up to 16 tokens per step (`block_size = 16`).
+![Ornith-1.5 w/ Different Decoding Acceleration Techniques](assets/dflash-acceleration.jpg)
+## GGUF Files
+| File | Quantization | Size |
+| :--- | :---: | :---: |
+| [Ornith-1.5-9B-DFlash-Q4_K_M.gguf](Ornith-1.5-9B-DFlash-Q4_K_M.gguf) | Q4_K_M *(Recommended)* | 730.48 MiB |
+| [Ornith-1.5-9B-DFlash-Q6_K.gguf](Ornith-1.5-9B-DFlash-Q6_K.gguf) | Q6_K | 1021.29 MiB |
+| [Ornith-1.5-9B-DFlash-Q8_0.gguf](Ornith-1.5-9B-DFlash-Q8_0.gguf) | Q8_0 | 1319.66 MiB |
+| [Ornith-1.5-9B-DFlash-BF16.gguf](Ornith-1.5-9B-DFlash-BF16.gguf) | BF16 | 2474.66 MiB |
+## Usage
+Pair this draft model with your target Ornith-1.5-9B model in `llama.cpp` using the `-md` (model draft) flag:
+```bash
+llama-cli \
+  -m Ornith-1.5-9B-Q4_K_M.gguf \
+  -md Ornith-1.5-9B-DFlash-Q4_K_M.gguf \
+  --spec-type draft-dflash \
+  -ngl 99 -c 4096 --temp 0.6 \
+  -p "<|im_start|>user\nWrite a quicksort in Python.<|im_end|>\n<|im_start|>assistant\n"
+```
+## Attribution & License
+- Distributed under the [MIT License](LICENSE), matching upstream [ornith-ai/Ornith-1.5-9B-DFlash](https://huggingface.co/ornith-ai/Ornith-1.5-9B-DFlash).
+- Target Model: [ornith-ai/Ornith-1.5-9B](https://huggingface.co/ornith-ai/Ornith-1.5-9B).
+- Reference GGUF release: [ornith-ai/Ornith-1.5-9B-GGUF](https://huggingface.co/ornith-ai/Ornith-1.5-9B-GGUF).

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