Instructions to use lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf lmg-anon/vntl-llama3-8b-gguf:Q4_K_M

Use Docker

docker model run hf.co/lmg-anon/vntl-llama3-8b-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use lmg-anon/vntl-llama3-8b-gguf with Ollama:
```
ollama run hf.co/lmg-anon/vntl-llama3-8b-gguf:Q4_K_M
```

Unsloth Studio

How to use lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-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 lmg-anon/vntl-llama3-8b-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for lmg-anon/vntl-llama3-8b-gguf to start chatting

Docker Model Runner
How to use lmg-anon/vntl-llama3-8b-gguf with Docker Model Runner:
```
docker model run hf.co/lmg-anon/vntl-llama3-8b-gguf:Q4_K_M
```

Lemonade

How to use lmg-anon/vntl-llama3-8b-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lmg-anon/vntl-llama3-8b-gguf:Q4_K_M

Run and chat with the model

lemonade run user.vntl-llama3-8b-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

This repository contains some GGUF quantizations of the merge of the VNTL LLaMA 3 8B qlora.

This model also includes a new "chat mode", which works mostly for Japanese grammar questions.

Translation Prompt

This is an prompt example for translation:

<<METADATA>>
[character] Name: Uryuu Shingo (瓜生 新吾) | Gender: Male | Aliases: Onii-chan (お兄ちゃん)
[character] Name: Uryuu Sakuno (瓜生 桜乃) | Gender: Female
<<TRANSLATE>>
<<JAPANESE>>
[桜乃]: 『……ごめん』
<<ENGLISH>>
[Sakuno]: 『... Sorry.』<|end_of_text|>
<<JAPANESE>>
[新吾]: 「ううん、こう言っちゃなんだけど、迷子でよかったよ。桜乃は可愛いから、いろいろ心配しちゃってたんだぞ俺」
<<ENGLISH>>

The generated translation for that prompt, with temperature 0, is:

[Shingo]: 「No, I know this isn't the best way to say it, but I'm glad you got lost. You're so cute that I was worried about you.」

Chat Prompt

This is an prompt example for chat:

<<CHAT>>
<<HUMAN>>
Hi! Can you break this down to me? Like, what is the meaning of "桜乃は可愛いから"?
"ううん、こう言っちゃなんだけど、迷子でよかったよ。桜乃は可愛いから、いろいろ心配しちゃってたんだぞ俺」"
<<LLM>>

The generated response for that prompt, with temperature 0, is:

Certainly! The phrase "桜乃は可愛いから" literally translates to "Because Sakura-no is cute." In Japanese culture, there is a strong emphasis on physical attractiveness and cuteness, especially when it comes to young girls or women. This phrase suggests that the speaker finds Sakura-no (presumably a girl) to be very attractive and endearing in appearance.

Downloads last month: 117

GGUF

Model size

8B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

8-bit

16-bit

lmg-anon
/

vntl-llama3-8b-gguf

Translation Prompt

Chat Prompt

Datasets used to train lmg-anon/vntl-llama3-8b-gguf