Instructions to use fableforge-ai/ShellWhisperer-1.5B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use fableforge-ai/ShellWhisperer-1.5B-GGUF with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M

Ollama
How to use fableforge-ai/ShellWhisperer-1.5B-GGUF with Ollama:
```
ollama run hf.co/fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
```

Unsloth Studio

How to use fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF to start chatting

How to use fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-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": "fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-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 "fableforge-ai/ShellWhisperer-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 fableforge-ai/ShellWhisperer-1.5B-GGUF with Docker Model Runner:
```
docker model run hf.co/fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
```

Lemonade

How to use fableforge-ai/ShellWhisperer-1.5B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.ShellWhisperer-1.5B-GGUF-Q4_K_M

List all available models

lemonade list

ShellWhisperer-1.5B-GGUF / README.md

King3Djbl

docs: add cross-reference links to related models

11057e4 verified 18 days ago

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	---
	license: apache-2.0
	library_name: gguf
	base_model: fableforge-ai/ShellWhisperer-1.5B
	base_model_relation: quantized
	tags:
	- gguf
	- fableforge
	- shellwhisperer
	- 1.5b
	- llama.cpp
	- lm-studio
	- ollama
	- text-generation
	- uncensored
	- agent
	- tool-use
	- en
	pipeline_tag: text-generation
	---

	# ShellWhisperer-1.5B-GGUF

	GGUF quantizations of [fableforge-ai/ShellWhisperer-1.5B](https://huggingface.co/fableforge-ai/ShellWhisperer-1.5B), a 1.5B parameter instruction-tuned model optimized for shell command generation, agentic tool use, and uncensored reasoning.

	## Available Quants

	\| Quant \| File \|
	\|---\|---\|
	\| F16 \| `shellwhisperer-1.5b-f16.gguf` \|
	\| Q8_0 \| `shellwhisperer-1.5b-Q8_0.gguf` \|
	\| Q6_K \| `shellwhisperer-1.5b-Q6_K.gguf` \|
	\| Q5_K_M \| `shellwhisperer-1.5b-Q5_K_M.gguf` \|
	\| Q4_K_M \| `shellwhisperer-1.5b-Q4_K_M.gguf` \|
	\| Q4_0 \| `shellwhisperer-1.5b-Q4_0.gguf` \|
	\| Q3_K_M \| `shellwhisperer-1.5b-Q3_K_M.gguf` \|
	\| Q2_K \| `shellwhisperer-1.5b-Q2_K.gguf` \|
	\| IQ4_XS \| `shellwhisperer-1.5b-IQ4_XS.gguf` \|
	\| IQ3_XXS \| `shellwhisperer-1.5b-IQ3_XXS.gguf` \|
	\| IQ2_XXS \| `shellwhisperer-1.5b-IQ2_XXS.gguf` \|
	\| IQ1_S \| `shellwhisperer-1.5b-IQ1_S.gguf` \|

	## Usage

	### llama.cpp

	```bash
	git clone https://github.com/ggerganov/llama.cpp
	cd llama.cpp
	make -j
	./main -m shellwhisperer-1.5b-Q4_K_M.gguf -p "Generate a bash script to..." -n 512
	```

	### Ollama

	```bash
	ollama run hf.co/fableforge-ai/ShellWhisperer-1.5B-GGUF:Q4_K_M
	```

	### LM Studio

	Search for "ShellWhisperer" in the LM Studio search panel.

	---

	## 🔗 Related models

	- 🧠 Base model (safetensors): [`ShellWhisperer-1.5B`](https://huggingface.co/fableforge-ai/ShellWhisperer-1.5B)