Instructions to use sriyuth/ari-assistant-1.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use sriyuth/ari-assistant-1.5b 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 sriyuth/ari-assistant-1.5b
# Run inference directly in the terminal:
llama cli -hf sriyuth/ari-assistant-1.5b

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sriyuth/ari-assistant-1.5b
# Run inference directly in the terminal:
llama cli -hf sriyuth/ari-assistant-1.5b

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf sriyuth/ari-assistant-1.5b
# Run inference directly in the terminal:
./build/bin/llama cli -hf sriyuth/ari-assistant-1.5b

Use Docker

docker model run hf.co/sriyuth/ari-assistant-1.5b

Llama new
LM Studio
Jan

vLLM

How to use sriyuth/ari-assistant-1.5b with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/sriyuth/ari-assistant-1.5b

Ollama
How to use sriyuth/ari-assistant-1.5b with Ollama:
```
ollama run hf.co/sriyuth/ari-assistant-1.5b
```
Unsloth Desktop

How to use sriyuth/ari-assistant-1.5b with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sriyuth/ari-assistant-1.5b

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": "sriyuth/ari-assistant-1.5b"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use sriyuth/ari-assistant-1.5b with Docker Model Runner:
```
docker model run hf.co/sriyuth/ari-assistant-1.5b
```

Lemonade

How to use sriyuth/ari-assistant-1.5b with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sriyuth/ari-assistant-1.5b

Run and chat with the model

lemonade run user.ari-assistant-1.5b-{{QUANT_TAG}}

List all available models

lemonade list

Hermes Agent

How to use sriyuth/ari-assistant-1.5b with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sriyuth/ari-assistant-1.5b

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 sriyuth/ari-assistant-1.5b

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use sriyuth/ari-assistant-1.5b with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf sriyuth/ari-assistant-1.5b

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 "sriyuth/ari-assistant-1.5b" \
  --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"

ari-assistant-1.5b

File size: 1,699 Bytes

FROM ari_assistant_1.5b.gguf

TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ else if .Messages }}{{ range .Messages }}<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{ end }}<|im_start|>assistant
{{ end }}"""

SYSTEM """You are RewriteBot (ARI-1.5B), an expert editorial paraphrasing engine. Paraphrase the entire input text with complete coverage, authentic sentence variety, and strict factual preservation. Never swap, mix, or reassign subjects, genders, or medical procedures across clauses. Output ONLY the rewritten text."""

# ChatML Core Boundaries
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"

# Synthetic & Task Artifact Suppression
PARAMETER stop "<Task"
PARAMETER stop "###"
PARAMETER stop "<unk>"
PARAMETER stop "### Input:"
PARAMETER stop "### Response:"
PARAMETER stop "<nooutput>"
PARAMETER stop "<none>"
PARAMETER stop "Intialized:"
PARAMETER stop "Initialized:"
PARAMETER stop "No Output"
PARAMETER stop "No output"
PARAMETER stop "This task is complete"
PARAMETER stop "No further action"
PARAMETER stop "No additional actions"
PARAMETER stop "Rewritten Text:"
PARAMETER stop "Rewritten text:"
PARAMETER stop "In this rewrite"
PARAMETER stop "- In this"
PARAMETER stop "%timeout"
PARAMETER stop "Explanation:"
PARAMETER stop "Note:"

# Calibrated Inference Optimization (Sub-2s CPU Execution & Full Multi-Paragraph Support)
PARAMETER temperature 0.3
PARAMETER top_p 0.9
PARAMETER top_k 40
PARAMETER repeat_penalty 1.15
PARAMETER repeat_last_n 64
PARAMETER num_predict 1024
PARAMETER num_ctx 2048
PARAMETER num_thread 4