Instructions to use PromethicLabs/Emberon-1.2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PromethicLabs/Emberon-1.2B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="PromethicLabs/Emberon-1.2B",
	filename="Emberon-1.2B-F16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use PromethicLabs/Emberon-1.2B 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 PromethicLabs/Emberon-1.2B:F16
# Run inference directly in the terminal:
llama cli -hf PromethicLabs/Emberon-1.2B:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf PromethicLabs/Emberon-1.2B:F16
# Run inference directly in the terminal:
llama cli -hf PromethicLabs/Emberon-1.2B:F16

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 PromethicLabs/Emberon-1.2B:F16
# Run inference directly in the terminal:
./llama-cli -hf PromethicLabs/Emberon-1.2B:F16

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 PromethicLabs/Emberon-1.2B:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PromethicLabs/Emberon-1.2B:F16

Use Docker

docker model run hf.co/PromethicLabs/Emberon-1.2B:F16

LM Studio
Jan

vLLM

How to use PromethicLabs/Emberon-1.2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PromethicLabs/Emberon-1.2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PromethicLabs/Emberon-1.2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PromethicLabs/Emberon-1.2B:F16

Ollama
How to use PromethicLabs/Emberon-1.2B with Ollama:
```
ollama run hf.co/PromethicLabs/Emberon-1.2B:F16
```

Unsloth Studio

How to use PromethicLabs/Emberon-1.2B with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for PromethicLabs/Emberon-1.2B to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for PromethicLabs/Emberon-1.2B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for PromethicLabs/Emberon-1.2B to start chatting

How to use PromethicLabs/Emberon-1.2B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf PromethicLabs/Emberon-1.2B:F16

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "PromethicLabs/Emberon-1.2B:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use PromethicLabs/Emberon-1.2B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf PromethicLabs/Emberon-1.2B:F16

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 PromethicLabs/Emberon-1.2B:F16

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use PromethicLabs/Emberon-1.2B with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf PromethicLabs/Emberon-1.2B:F16

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 "PromethicLabs/Emberon-1.2B:F16" \
  --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"

Docker Model Runner
How to use PromethicLabs/Emberon-1.2B with Docker Model Runner:
```
docker model run hf.co/PromethicLabs/Emberon-1.2B:F16
```

Lemonade

How to use PromethicLabs/Emberon-1.2B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PromethicLabs/Emberon-1.2B:F16

Run and chat with the model

lemonade run user.Emberon-1.2B-F16

List all available models

lemonade list

Promethic commited on 19 days ago

Commit

71625cf

verified ·

1 Parent(s): c812f29

Add explicit attribution requirement (credit Promethic Labs) to card + NOTICE

Browse files

Files changed (2) hide show

NOTICE +13 -0
README.md +15 -0

NOTICE CHANGED Viewed

@@ -19,5 +19,18 @@ In accordance with Section 4 of the LFM Open License v1.0:
   - the original attribution/copyright notices are retained (above);
   - this NOTICE states that the files were changed from the original.
 Trademarks: "Liquid AI" and "LFM" are trademarks of Liquid AI. "Promethic Labs", "Emberon",
 and "WisperCode" are trademarks of Promethic Labs. Use of a name does not imply endorsement.

   - the original attribution/copyright notices are retained (above);
   - this NOTICE states that the files were changed from the original.
+ATTRIBUTION
+-----------
+REQUIRED (redistribution & derivatives): If you redistribute these weights, or release a
+fine-tune, merge, quantization, or other derivative of Emberon, you must retain this NOTICE
+and the copyright notices above (BOTH Liquid AI and Promethic Labs), state that you modified
+the model, and include the LICENSE.
+REQUESTED (use in products, services, or research): Please credit Promethic Labs. Suggested
+credit line:
+    Powered by Emberon-1.2B by Promethic Labs (https://promethic.xyz) — a dictation-cleanup
+    fine-tune of LiquidAI/LFM2.5-1.2B-Instruct.
 Trademarks: "Liquid AI" and "LFM" are trademarks of Liquid AI. "Promethic Labs", "Emberon",
 and "WisperCode" are trademarks of Promethic Labs. Use of a name does not imply endorsement.

README.md CHANGED Viewed

@@ -226,6 +226,21 @@ Emberon-1.2B is a fine-tune of **`LiquidAI/LFM2.5-1.2B-Instruct`** and is releas
 > **Modifications (dictation-cleanup fine-tune) © 2026 Promethic Labs.** This is a modified version of
 > LFM2.5-1.2B-Instruct.
 ## Citation
 ```bibtex

 > **Modifications (dictation-cleanup fine-tune) © 2026 Promethic Labs.** This is a modified version of
 > LFM2.5-1.2B-Instruct.
+### Attribution — please credit Promethic Labs
+**Required for redistribution & derivatives.** If you redistribute these weights, or release a fine-tune,
+merge, quantization, or any other derivative of Emberon, the LFM Open License v1.0 requires you to **retain
+the copyright/attribution notices above, state that you modified the model, and include the license.** Keep
+**both** the Liquid AI and the Promethic Labs attributions intact.
+**Requested for use in products, services, or research.** If Emberon powers a product, feature, service, or
+paper, please **credit Promethic Labs** (a link back is appreciated). Suggested credit line:
+> Powered by **Emberon-1.2B** by [Promethic Labs](https://promethic.xyz) — a dictation-cleanup fine-tune of
+> LiquidAI/LFM2.5-1.2B-Instruct.
+For academic or technical write-ups, please also cite the entry below.
 ## Citation
 ```bibtex