Instructions to use koesn/Garten2-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use koesn/Garten2-7B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("koesn/Garten2-7B-GGUF", dtype="auto")

llama-cpp-python

How to use koesn/Garten2-7B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="koesn/Garten2-7B-GGUF",
	filename="garten2-7b.IQ3_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use koesn/Garten2-7B-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 koesn/Garten2-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf koesn/Garten2-7B-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 koesn/Garten2-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf koesn/Garten2-7B-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 koesn/Garten2-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf koesn/Garten2-7B-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 koesn/Garten2-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf koesn/Garten2-7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/koesn/Garten2-7B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use koesn/Garten2-7B-GGUF with Ollama:
```
ollama run hf.co/koesn/Garten2-7B-GGUF:Q4_K_M
```

Unsloth Studio

How to use koesn/Garten2-7B-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 koesn/Garten2-7B-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 koesn/Garten2-7B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for koesn/Garten2-7B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use koesn/Garten2-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/koesn/Garten2-7B-GGUF:Q4_K_M
```

Lemonade

How to use koesn/Garten2-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull koesn/Garten2-7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Garten2-7B-GGUF-Q4_K_M

List all available models

lemonade list

koesn commited on Mar 10, 2024

Commit

e0a0d9f

verified ·

1 Parent(s): c72b35b

Update README.md

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README.md +9 -13

README.md CHANGED Viewed

@@ -1,5 +1,13 @@
 ---
-license: apache-2.0
 ---
 # Garten2-7B-GGUF
@@ -34,18 +42,6 @@ This repo contains GGUF format model files for Garten2-7B-GGUF.
 # Original Model Card
----
-base_model:
-- mistralai/Mistral-7B-v0.1
-tags:
-- qlora
-- dto
-language:
-  - "en"
-library_name: transformers
-license: "apache-2.0"
----
 # Details
 Introducing Garten2-7B, a cutting-edge, small 7B all-purpose Language Model (LLM), designed to redefine the boundaries of artificial intelligence in natural language understanding and generation. Garten2-7B stands out with its unique architecture, expertly crafted to deliver exceptional performance in a wide array of tasks, from conversation to content creation.

 ---
+base_model:
+- mistralai/Mistral-7B-v0.1
+tags:
+- qlora
+- dto
+language:
+  - "en"
+library_name: transformers
+license: "apache-2.0"
 ---
 # Garten2-7B-GGUF
 # Original Model Card
 # Details
 Introducing Garten2-7B, a cutting-edge, small 7B all-purpose Language Model (LLM), designed to redefine the boundaries of artificial intelligence in natural language understanding and generation. Garten2-7B stands out with its unique architecture, expertly crafted to deliver exceptional performance in a wide array of tasks, from conversation to content creation.