Instructions to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF",
	filename="Hermes-2-Theta-Llama-3-8B.BF16.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama-cli -hf legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

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 legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

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 legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

Use Docker

docker model run hf.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

LM Studio
Jan

vLLM

How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "legraphista/Hermes-2-Theta-Llama-3-8B-IMat-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": "legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

Ollama
How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with Ollama:
```
ollama run hf.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S
```

Unsloth Studio

How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-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 legraphista/Hermes-2-Theta-Llama-3-8B-IMat-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 legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with Docker Model Runner:
```
docker model run hf.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S
```

Lemonade

How to use legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.Hermes-2-Theta-Llama-3-8B-IMat-GGUF-Q4_K_S

List all available models

lemonade list

legraphista commited on May 26, 2024

Commit

7941c0b

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1 Parent(s): d315b14

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@@ -69,7 +69,7 @@ Link: [here](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-G
 | [Hermes-2-Theta-Llama-3-8B.BF16.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ No | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q5_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ No | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q5_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ No | 📦 No
-| Hermes-2-Theta-Llama-3-8B.Q4_K_S | Q4_K_S | - | ⏳ Processing | 🟢 Yes | -
 | [Hermes-2-Theta-Llama-3-8B.Q3_K_L.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 Yes | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q3_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 Yes | 📦 No
 | Hermes-2-Theta-Llama-3-8B.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 Yes | -

 | [Hermes-2-Theta-Llama-3-8B.BF16.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ No | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q5_K.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ No | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q5_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ No | 📦 No
+| [Hermes-2-Theta-Llama-3-8B.Q4_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 Yes | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q3_K_L.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 Yes | 📦 No
 | [Hermes-2-Theta-Llama-3-8B.Q3_K_S.gguf](https://huggingface.co/legraphista/Hermes-2-Theta-Llama-3-8B-IMat-GGUF/blob/main/Hermes-2-Theta-Llama-3-8B.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 Yes | 📦 No
 | Hermes-2-Theta-Llama-3-8B.Q2_K_S | Q2_K_S | - | ⏳ Processing | 🟢 Yes | -