Instructions to use gaianet/stablelm-2-zephyr-1.6b-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gaianet/stablelm-2-zephyr-1.6b-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="gaianet/stablelm-2-zephyr-1.6b-GGUF",
	filename="stablelm-2-zephyr-1_6b-Q5_K_M.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 gaianet/stablelm-2-zephyr-1.6b-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama-cli -hf gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_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 gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_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 gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M

Use Docker

docker model run hf.co/gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M

LM Studio
Jan

vLLM

How to use gaianet/stablelm-2-zephyr-1.6b-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gaianet/stablelm-2-zephyr-1.6b-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": "gaianet/stablelm-2-zephyr-1.6b-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M

Ollama
How to use gaianet/stablelm-2-zephyr-1.6b-GGUF with Ollama:
```
ollama run hf.co/gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M
```

Unsloth Studio

How to use gaianet/stablelm-2-zephyr-1.6b-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 gaianet/stablelm-2-zephyr-1.6b-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 gaianet/stablelm-2-zephyr-1.6b-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gaianet/stablelm-2-zephyr-1.6b-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use gaianet/stablelm-2-zephyr-1.6b-GGUF with Docker Model Runner:
```
docker model run hf.co/gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M
```

Lemonade

How to use gaianet/stablelm-2-zephyr-1.6b-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gaianet/stablelm-2-zephyr-1.6b-GGUF:Q5_K_M

Run and chat with the model

lemonade run user.stablelm-2-zephyr-1.6b-GGUF-Q5_K_M

List all available models

lemonade list

alabulei commited on Jul 9, 2024

Commit

57e0da7

verified ·

1 Parent(s): 85d92c3

Create README.md

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	@@ -0,0 +1,54 @@

+---
+base_model: stabilityai/stablelm-2-zephyr-1_6b
+license: other
+model_creator: stabilityai
+model_name: StableLM 2 Zephyr 1.6B
+pipeline_tag: text-generation
+quantized_by: Second State Inc.
+datasets:
+- HuggingFaceH4/ultrachat_200k
+- allenai/ultrafeedback_binarized_cleaned
+- meta-math/MetaMathQA
+- WizardLM/WizardLM_evol_instruct_V2_196k
+- openchat/openchat_sharegpt4_dataset
+- LDJnr/Capybara
+- Intel/orca_dpo_pairs
+- hkust-nlp/deita-10k-v0
+language:
+- en
+tags:
+- causal-lm
+---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/GaiaNet-AI/.github/assets/45785633/d6976adc-f97d-4f86-a648-0f2f5c8e7eee" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
+<!-- header end -->
+# StableLM-2-Zephyr-1.6B-GGUF
+## Original Model
+[stabilityai/stablelm-2-zephyr-1_6b](https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b)
+## Run with Gaianet
+**Prompt template:**
+prompt template: `llama-2-chat`
+**Context size:**
+chat_ctx_size: `4096`
+**Run with GaiaNet:**
+- Quick start: https://docs.gaianet.ai/node-guide/quick-start
+- Customize your node: https://docs.gaianet.ai/node-guide/customize