Instructions to use PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed with Pruna AI:

from pruna import PrunaModel
model = PrunaModel.from_pretrained("PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed 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 PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed: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 PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed: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 PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M

Use Docker

docker model run hf.co/PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M

LM Studio
Jan
Ollama
How to use PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed with Ollama:
```
ollama run hf.co/PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed with Docker Model Runner:
```
docker model run hf.co/PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M
```

Lemonade

How to use PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PrunaAI/Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed:Q4_K_M

Run and chat with the model

lemonade run user.Meta-Llama-3-8B-Instruct-GGUF-Imatrix-smashed-Q4_K_M

List all available models

lemonade list

Atomic Chat

sdiazlor commited on Mar 25

Commit

3cf0d54

verified ·

1 Parent(s): 38ab951

Update additional links

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README.md +3 -5

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@@ -27,13 +27,11 @@ tags:
 ## This repo contains GGUF versions of the meta-llama/Meta-Llama-3-8B-Instruct model.
-# Simply make AI models cheaper, smaller, faster, and greener!
 - Give a thumbs up if you like this model!
-- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact).
-- Request access to easily compress your *own* AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai).
-- Read the documentations to know more [here](https://pruna-ai-pruna.readthedocs-hosted.com/en/latest/)
-- Join Pruna AI community on Discord [here](https://discord.gg/rskEr4BZJx) to share feedback/suggestions or get help.
 **Frequently Asked Questions**
 - ***How does the compression work?*** The model is compressed with GGUF.

 ## This repo contains GGUF versions of the meta-llama/Meta-Llama-3-8B-Instruct model.
+# Make AI models cheaper, smaller, faster, and greener!
 - Give a thumbs up if you like this model!
+- Read the documentations to know more [here](https://docs.pruna.ai/)
+- Join the Pruna AI community on Discord [here](https://discord.com/invite/JFQmtFKCjd) to share feedback/suggestions or get help.
 **Frequently Asked Questions**
 - ***How does the compression work?*** The model is compressed with GGUF.