Instructions to use mradermacher/Agent-STAR-RL-1.5B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Agent-STAR-RL-1.5B-GGUF", dtype="auto")

llama-cpp-python

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="mradermacher/Agent-STAR-RL-1.5B-GGUF",
	filename="Agent-STAR-RL-1.5B.IQ4_XS.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF 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 mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Agent-STAR-RL-1.5B-GGUF: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 mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Agent-STAR-RL-1.5B-GGUF: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 mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M
```

Unsloth Studio

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF 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 mradermacher/Agent-STAR-RL-1.5B-GGUF 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 mradermacher/Agent-STAR-RL-1.5B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/Agent-STAR-RL-1.5B-GGUF to start chatting

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M

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": "mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/Agent-STAR-RL-1.5B-GGUF: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 mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/Agent-STAR-RL-1.5B-GGUF: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 "mradermacher/Agent-STAR-RL-1.5B-GGUF: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"

Docker Model Runner
How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Agent-STAR-RL-1.5B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Agent-STAR-RL-1.5B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Agent-STAR-RL-1.5B-GGUF-Q4_K_M

List all available models

lemonade list

@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Agent-STAR-RL-1.5B.f16.gguf filter=lfs diff=lfs merge=lfs -text

mradermacher
/

Agent-STAR-RL-1.5B-GGUF

uploaded from leia

+version https://git-lfs.github.com/spec/v1
+oid sha256:90f003afc4f9485d766a5eb834c8d63549f4fe85d1aa69089530d89923919055
+size 1026163008

+version https://git-lfs.github.com/spec/v1
+oid sha256:b591663ef0b9a84853b5100c5b4839ed12e563f6c7b3f916090e5a77f5ea3af0
+size 752880960

+version https://git-lfs.github.com/spec/v1
+oid sha256:712fdaba533a4e61207390a26f561f9c9e09e9d9de4a8251e32af33183ae4caa
+size 980440896

+version https://git-lfs.github.com/spec/v1
+oid sha256:06fa12cb90a8d84239d30614266c799b91f2879c8bd8fe72b8e285a7ab948bed
+size 924456768

+version https://git-lfs.github.com/spec/v1
+oid sha256:7ac48c2eaf86be278d3b78f89dcc99bfcbfd5960333ce1b840adbea073d029e7
+size 861222720

+version https://git-lfs.github.com/spec/v1
+oid sha256:cfd56642d292c7eb6f4ffbc7d8541877d9af76a08ea6cfe7cd7ce31f3769d675
+size 1117321536

+version https://git-lfs.github.com/spec/v1
+oid sha256:bd34cf17d2f233c906acf80c831ee64eb5cb35e7c17e5a5e9e6b5930e9f1a32a
+size 1071585600

+version https://git-lfs.github.com/spec/v1
+oid sha256:33a1646f51a254761bed42d28c32765a24218f1ca6326e84a9a34cd7ae12d55c
+size 1285495104

+version https://git-lfs.github.com/spec/v1
+oid sha256:9f32b512d350247539f94170b06d028a5057e265fcab16e4740b468e47d53d0b
+size 1259174208

+version https://git-lfs.github.com/spec/v1
+oid sha256:4f28d74be4f810bce7d91979aaf2358b7a25e603ca4885d80aace22ed6a06697
+size 1464179520

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:7e07c83f78bf82159c5bf8df750e291b3fb87f807d62cb80c969acd8ed5e13d8
+size 1894532928

+version https://git-lfs.github.com/spec/v1
+oid sha256:cd8f6b84cd84679242cf460545954fa074a6ff2851cd9a54b9e75b6b529cb0dc
+size 3560417088