Instructions to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS 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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
# Run inference directly in the terminal:
llama cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS

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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
# Run inference directly in the terminal:
./llama-cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS

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 askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS

Use Docker

docker model run hf.co/askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS

LM Studio
Jan
Ollama
How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with Ollama:
```
ollama run hf.co/askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
```
Unsloth Desktop
Docker Model Runner
How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with Docker Model Runner:
```
docker model run hf.co/askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS
```

Lemonade

How to use askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull askmyteapot/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS:IQ4_XS

Run and chat with the model

lemonade run user.Meta-Llama-3-70B-Instruct-abliterated-v3.5-IQ4_XS-IQ4_XS

List all available models

lemonade list

Atomic Chat

This is just my IQ4_XS quant of https://huggingface.co/failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5

Also included is my generated imatrix data file, generated on 200 x 2048 tokens of Wiki.Train.Raw against Q8_0 (i dont have enough RAM + VRAM to do the full fp16).

Downloads last month: 4

GGUF

Model size

71B params

Architecture

llama

Hardware compatibility

4-bit

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