Instructions to use vutuka/llama-3-8b-african-aya-gguf-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use vutuka/llama-3-8b-african-aya-gguf-8bit with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("vutuka/llama-3-8b-african-aya-gguf-8bit", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use vutuka/llama-3-8b-african-aya-gguf-8bit 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 vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0
# Run inference directly in the terminal:
llama cli -hf vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0
# Run inference directly in the terminal:
llama cli -hf vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0

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 vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0

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 vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0

Use Docker

docker model run hf.co/vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0

LM Studio
Jan
Ollama
How to use vutuka/llama-3-8b-african-aya-gguf-8bit with Ollama:
```
ollama run hf.co/vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0
```
Unsloth Desktop
Docker Model Runner
How to use vutuka/llama-3-8b-african-aya-gguf-8bit with Docker Model Runner:
```
docker model run hf.co/vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0
```

Lemonade

How to use vutuka/llama-3-8b-african-aya-gguf-8bit with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull vutuka/llama-3-8b-african-aya-gguf-8bit:Q8_0

Run and chat with the model

lemonade run user.llama-3-8b-african-aya-gguf-8bit-Q8_0

List all available models

lemonade list

Atomic Chat

Svngoku commited on Apr 27, 2024

Commit

a6e8b2d

verified ·

1 Parent(s): a543263

Update README.md

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@@ -1,6 +1,14 @@
 ---
 language:
 - en
 license: apache-2.0
 tags:
 - text-generation-inference
@@ -9,6 +17,8 @@ tags:
 - llama
 - gguf
 base_model: unsloth/llama-3-8b-bnb-4bit
 ---
 # Uploaded  model
@@ -19,4 +29,4 @@ base_model: unsloth/llama-3-8b-bnb-4bit
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 ---
 language:
 - en
+- sw
+- af
+- fr
+- yo
+- am
+- ar
+- pt
+- ig
 license: apache-2.0
 tags:
 - text-generation-inference
 - llama
 - gguf
 base_model: unsloth/llama-3-8b-bnb-4bit
+datasets:
+- vutuka/aya_african_alpaca
 ---
 # Uploaded  model
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)