NeverSleep
/

Llama-3-Lumimaid-8B-v0.1-GGUF

GGUF

Not-For-All-Audiences

nsfw

Model card Files Files and versions

xet

Community

Instructions to use NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

llama-cpp-python

How to use NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF",
	filename="Llama-3-Lumimaid-8B-v0.1.q4_k_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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NeverSleep/Llama-3-Lumimaid-8B-v0.1-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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf NeverSleep/Llama-3-Lumimaid-8B-v0.1-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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf NeverSleep/Llama-3-Lumimaid-8B-v0.1-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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF with Ollama:
```
ollama run hf.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M
```

Unsloth Studio

How to use NeverSleep/Llama-3-Lumimaid-8B-v0.1-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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-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 NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF with Docker Model Runner:
```
docker model run hf.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M
```

Lemonade

How to use NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-3-Lumimaid-8B-v0.1-GGUF-Q4_K_M

List all available models

lemonade list

Lumimaid 0.1

May 1st 2024: GGUF have been fixed with this PR of llama.cpp

This model uses the Llama3 prompting format

Llama3 trained on our RP datasets, we tried to have a balance between the ERP and the RP, not too horny, but just enough.

We also added some non-RP dataset, making the model less dumb overall. It should look like a 40%/60% ratio for Non-RP/RP+ERP data.

This model includes the new Luminae dataset from Ikari.

If you consider trying this model please give us some feedback either on the Community tab on hf or on our Discord Server.

Credits:

Undi
IkariDev

Description

This repo contains GGUF files of Lumimaid-8B-v0.1.

Switch: 8B - 70B - 70B-alt - 8B-OAS - 70B-OAS

Training data used:

Aesir datasets
NoRobots
limarp - 8k ctx
toxic-dpo-v0.1-sharegpt
ToxicQAFinal
Luminae-i1 (70B/70B-alt) (i2 was not existing when the 70b started training) | Luminae-i2 (8B) (this one gave better results on the 8b) - Ikari's Dataset
Squish42/bluemoon-fandom-1-1-rp-cleaned - 50% (randomly)
NobodyExistsOnTheInternet/PIPPAsharegptv2test - 5% (randomly)
cgato/SlimOrcaDedupCleaned - 5% (randomly)
Airoboros (reduced)
Capybara (reduced)

Models used (only for 8B)

Initial LumiMaid 8B Finetune
Undi95/Llama-3-Unholy-8B-e4
Undi95/Llama-3-LewdPlay-8B

Prompt template: Llama3

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{input}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{output}<|eot_id|>

Others

Undi: If you want to support us, you can here.

IkariDev: Visit my retro/neocities style website please kek

Downloads last month: 285

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

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