Instructions to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF", dtype="auto")

llama-cpp-python

How to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF",
	filename="WestLake-7B-v2-laser-truthy-dpo-Q3_K_L.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 LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf LoneStriker/WestLake-7B-v2-laser-truthy-dpo-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 LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf LoneStriker/WestLake-7B-v2-laser-truthy-dpo-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 LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M

Use Docker

docker model run hf.co/LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with Ollama:
```
ollama run hf.co/LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M
```

Unsloth Studio

How to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-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 LoneStriker/WestLake-7B-v2-laser-truthy-dpo-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 LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with Docker Model Runner:
```
docker model run hf.co/LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M
```

Lemonade

How to use LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull LoneStriker/WestLake-7B-v2-laser-truthy-dpo-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.WestLake-7B-v2-laser-truthy-dpo-GGUF-Q4_K_M

List all available models

lemonade list

Wrong config?

by Nephilim - opened Feb 2, 2024

Discussion

Nephilim

Feb 2, 2024

All this model is giving me is weird tokens as outputs not following input.

LoneStriker

Owner Feb 2, 2024

Works fine for me, make sure your llama.cpp is up-to-date:

$ ./main -m ./WestLake-7B-v2-laser-truthy-dpo-Q4_K_M.gguf -i -p "Write a story about llamas"
[...]
 Write a story about llamas and the wild west.

In the heart of the Wild West, there existed a hidden valley untouched by time or mankind. This unique terrain was shrouded in myste
ry, with only rumours echoing through whispers around the campfires at night. The local cowboys would tell stories of a land where l
lamas outnumbered people ten to one. They spoke of a magical place with vibrant grasslands, clear blue lakes and majestic snowcapped
 mountains that seemed to stretch into infinity.

Nephilim

Feb 2, 2024

Here, this is the gen result, i'm using text generation webui on the latest version, so I think llama is on the latest version

LoneStriker

Owner Feb 2, 2024

Something is wrong with your setup or the model. Try downloading the model again to make sure it's not corrupted. Your screenshot says 20 tokens were generated, but that is a lot more than just 20 tokens of output. Make sure other GGUF models work with your setup as well.

Nephilim

Feb 2, 2024

the 20 tokens is from the generation after that, yes other gguf models works well with the same config, even the same template, i'll try to download it again

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