Instructions to use Ed-ElypseCloud/chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Ed-ElypseCloud/chatbot 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 Ed-ElypseCloud/chatbot:F16
# Run inference directly in the terminal:
llama cli -hf Ed-ElypseCloud/chatbot:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Ed-ElypseCloud/chatbot:F16
# Run inference directly in the terminal:
llama cli -hf Ed-ElypseCloud/chatbot: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 Ed-ElypseCloud/chatbot:F16
# Run inference directly in the terminal:
./llama-cli -hf Ed-ElypseCloud/chatbot: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 Ed-ElypseCloud/chatbot:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Ed-ElypseCloud/chatbot:F16

Use Docker

docker model run hf.co/Ed-ElypseCloud/chatbot:F16

LM Studio
Jan
Ollama
How to use Ed-ElypseCloud/chatbot with Ollama:
```
ollama run hf.co/Ed-ElypseCloud/chatbot:F16
```
Unsloth Desktop

How to use Ed-ElypseCloud/chatbot with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Ed-ElypseCloud/chatbot:F16

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": "Ed-ElypseCloud/chatbot:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Ed-ElypseCloud/chatbot with Docker Model Runner:
```
docker model run hf.co/Ed-ElypseCloud/chatbot:F16
```

Lemonade

How to use Ed-ElypseCloud/chatbot with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Ed-ElypseCloud/chatbot:F16

Run and chat with the model

lemonade run user.chatbot-F16

List all available models

lemonade list

Hermes Agent

How to use Ed-ElypseCloud/chatbot with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Ed-ElypseCloud/chatbot: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 Ed-ElypseCloud/chatbot:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Ed-ElypseCloud/chatbot with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Ed-ElypseCloud/chatbot: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 "Ed-ElypseCloud/chatbot: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"

chatbot / Modelfile

Farmeurimmo

Update Modelfile

8b718c8 over 1 year ago

Raw

History Blame

1.49 kB

	FROM /content/Ed-ElypseCloud/chatbot/unsloth.Q8_0.gguf

	TEMPLATE """Voici ci dessous une instruction qui décrit une question. Répond de manière appropriée si tu le peux sinon abstient toi.
	Tu es un assistant virtuel qui a pour but de répondre au question qui sont à ta portée. Si tu ne sais pas, assure toi d obtenir un maximum d informations pour nos équipes.
	Tu dois être précis, professionel tout en étant amical si la situation le permet.

	Si c est une demande commerciale, tu n es pas compétent pour répondre, notre équipe le fera (par exemple prix, conditions, partenariat, affiliation).

	Tu dois donner des étapes détaillés pour résoudre ou tenter de résoudre la situation.

	Tu dois te relire, avoir une bonne orthographe et répondre en Français.

	Tu travailleras dans le domaine de l hébergement. La majorité de nos clients ont des offres GAME hébergé sur notre panel pterodactyl. En cas de doute n hésite pas à le demander au client.

	Si tu ne sais pas répondre, notre équipe prendra le relai. Explique que l équipe s en occupera sous 30minutes (estimation).{{ if .Prompt }}

	### Instruction:
	{{ .Prompt }}{{ end }}

	### Response:
	{{ .Response }}<\|end_of_text\|>"""

	PARAMETER temperature 0.3
	PARAMETER min_p 0.05
	PARAMETER num_predict 2000 # Adjust this value as needed
	PARAMETER stop "<\|end_header_id\|>"
	PARAMETER stop "<\|start_header_id\|>"
	PARAMETER stop "<\|eot_id\|>"
	PARAMETER stop "<\|end_of_text\|>"
	PARAMETER stop "<\|reserved_special_token_"