Instructions to use tensorblock/robust-llama3-8b-instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tensorblock/robust-llama3-8b-instruct-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tensorblock/robust-llama3-8b-instruct-GGUF", dtype="auto")

llama-cpp-python

How to use tensorblock/robust-llama3-8b-instruct-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="tensorblock/robust-llama3-8b-instruct-GGUF",
	filename="robust-llama3-8b-instruct-Q2_K.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use tensorblock/robust-llama3-8b-instruct-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
llama-cli -hf tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K

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 tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
./llama-cli -hf tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K

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 tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K

Use Docker

docker model run hf.co/tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K

LM Studio
Jan
Ollama
How to use tensorblock/robust-llama3-8b-instruct-GGUF with Ollama:
```
ollama run hf.co/tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K
```

Unsloth Studio new

How to use tensorblock/robust-llama3-8b-instruct-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 tensorblock/robust-llama3-8b-instruct-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 tensorblock/robust-llama3-8b-instruct-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tensorblock/robust-llama3-8b-instruct-GGUF to start chatting

Docker Model Runner
How to use tensorblock/robust-llama3-8b-instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K
```

Lemonade

How to use tensorblock/robust-llama3-8b-instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tensorblock/robust-llama3-8b-instruct-GGUF:Q2_K

Run and chat with the model

lemonade run user.robust-llama3-8b-instruct-GGUF-Q2_K

List all available models

lemonade list

morriszms commited on Jan 27

Commit

c72d340

verified ·

1 Parent(s): a868eed

Remove .gguf files (keep Q2_K.gguf)

Browse files

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e8437a74164ab4298f91cba81fab780fbcd6ee2386f4546bd3f878cec7c0285b
-size 4321956352

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:6fd8849f91f130cb559f3500bd8e1b68d2d807909ff428159b5e88aa75e584b9
-size 4018917888

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:363e8b079d6d5b65cf281c7795d35b187e3debec19e22df33f7aee510e41d083
-size 3664499200

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:f7e12ea48b8c31af2a46e9b1cee00ac9c2214834fe97b7a3096dd114cb0c2644
-size 4661211648

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4ec0b662275f3353d48601c65a39ca854c6b8046e562aef036db2e26b37aa5ee
-size 4920734208