Instructions to use MaziyarPanahi/Llama-Guard-3-8B-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 MaziyarPanahi/Llama-Guard-3-8B-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 MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M
# Run inference directly in the terminal:
llama cli -hf MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_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 MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M
# Run inference directly in the terminal:
./llama-cli -hf MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_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 MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M

Use Docker

docker model run hf.co/MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M

LM Studio
Jan

vLLM

How to use MaziyarPanahi/Llama-Guard-3-8B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MaziyarPanahi/Llama-Guard-3-8B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MaziyarPanahi/Llama-Guard-3-8B-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M

Ollama
How to use MaziyarPanahi/Llama-Guard-3-8B-GGUF with Ollama:
```
ollama run hf.co/MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M
```
Unsloth Desktop
Docker Model Runner
How to use MaziyarPanahi/Llama-Guard-3-8B-GGUF with Docker Model Runner:
```
docker model run hf.co/MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M
```

Lemonade

How to use MaziyarPanahi/Llama-Guard-3-8B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MaziyarPanahi/Llama-Guard-3-8B-GGUF:Q5_K_M

Run and chat with the model

lemonade run user.Llama-Guard-3-8B-GGUF-Q5_K_M

List all available models

lemonade list

Atomic Chat

MaziyarPanahi commited on Nov 2, 2024

Commit

9916cca

verified ·

1 Parent(s): add279c

Upload folder using huggingface_hub (#1)

Browse files

- 6e266846efe088efba7f1fd6ea4c0a81031973d4cc23b143ad9a08f4a5844c0b (c64af4d015b0a45d58244a07d7380e69368764fb)
- 1633efbdea5486cf31f7e339f4d208c611884d1874082b8cc78e07df879176a5 (dc1eb154b38bcfaaa5202e7564823643761e0cb9)
- e7de449585348f130ab82798d8a3aec53aaa190e0a47955ad6e4892be264a5e1 (71924804b19d6e73ce9697012bd074567ee00163)
- 6d4ce5265430ac9a19c6f9e6c1515a319f553ae36f4db3d44eca7350069a6bf1 (6dfd3c7af2fe9af670b50c51f5f728eee6152e92)
- f60dd8a7787c3bd99ef654dd7cdb8476dcb27863c9ee5b7d725566f76a51bee0 (239bde34811531416ab590be43b15b71cec6c6fb)
- d6ca50a1c4c17080a8b507cf9b5e0410338793ca280bfd64e1b3373024110b35 (03590daa1c9a6d848028d2834741a948c5c3741d)

Files changed (8) hide show

.gitattributes +6 -0
Llama-Guard-3-8B-GGUF_imatrix.dat +3 -0
Llama-Guard-3-8B.Q5_K_M.gguf +3 -0
Llama-Guard-3-8B.Q5_K_S.gguf +3 -0
Llama-Guard-3-8B.Q6_K.gguf +3 -0
Llama-Guard-3-8B.Q8_0.gguf +3 -0
Llama-Guard-3-8B.fp16.gguf +3 -0
README.md +46 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Llama-Guard-3-8B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-Guard-3-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-Guard-3-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-Guard-3-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-Guard-3-8B.fp16.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-Guard-3-8B-GGUF_imatrix.dat filter=lfs diff=lfs merge=lfs -text

Llama-Guard-3-8B-GGUF_imatrix.dat ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:91dd71b8b2f16fb7f44445a8cab51ab37c3b6a0f236a63f3f5e101f377ab8d21
+size 4988146

Llama-Guard-3-8B.Q5_K_M.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:43da7dec3012bf0f5161a9ffdb5ec9d8423d7704cdc162e755ac410d0f0fac8a
+size 5732989312

Llama-Guard-3-8B.Q5_K_S.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:40d00ff58188b314a0689f77318ccab461a679ad4bb33d8f26594a22a4dceb51
+size 5599295872

Llama-Guard-3-8B.Q6_K.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:10be62a2a0c8f431b4ab48c913f9333450033420cc66a84692774dae05d369c5
+size 6596008320

Llama-Guard-3-8B.Q8_0.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6c422eca5a0b8205627e360ae4e177222edc82541e0877624fb76edf1be1e4fb
+size 8540772736

Llama-Guard-3-8B.fp16.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:1d3a6a54ecf6059473c8cafd5aa5f6b69a5dadccf8163300503d5e5def86c057
+size 16068892832

README.md ADDED Viewed

	@@ -0,0 +1,46 @@

+---
+tags:
+- quantized
+- 2-bit
+- 3-bit
+- 4-bit
+- 5-bit
+- 6-bit
+- 8-bit
+- GGUF
+- text-generation
+- text-generation
+model_name: Llama-Guard-3-8B-GGUF
+base_model: meta-llama/Llama-Guard-3-8B
+inference: false
+model_creator: meta-llama
+pipeline_tag: text-generation
+quantized_by: MaziyarPanahi
+---
+# [MaziyarPanahi/Llama-Guard-3-8B-GGUF](https://huggingface.co/MaziyarPanahi/Llama-Guard-3-8B-GGUF)
+- Model creator: [meta-llama](https://huggingface.co/meta-llama)
+- Original model: [meta-llama/Llama-Guard-3-8B](https://huggingface.co/meta-llama/Llama-Guard-3-8B)
+## Description
+[MaziyarPanahi/Llama-Guard-3-8B-GGUF](https://huggingface.co/MaziyarPanahi/Llama-Guard-3-8B-GGUF) contains GGUF format model files for [meta-llama/Llama-Guard-3-8B](https://huggingface.co/meta-llama/Llama-Guard-3-8B).
+### About GGUF
+GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
+Here is an incomplete list of clients and libraries that are known to support GGUF:
+* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
+* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
+* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
+* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
+* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
+* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
+* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
+* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
+* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
+* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
+## Special thanks
+🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.