Instructions to use legraphista/glm-4-9b-chat-1m-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 legraphista/glm-4-9b-chat-1m-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 legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf legraphista/glm-4-9b-chat-1m-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/glm-4-9b-chat-1m-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf legraphista/glm-4-9b-chat-1m-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/glm-4-9b-chat-1m-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S

Use Docker

docker model run hf.co/legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S

LM Studio
Jan

vLLM

How to use legraphista/glm-4-9b-chat-1m-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "legraphista/glm-4-9b-chat-1m-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/glm-4-9b-chat-1m-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S

Ollama
How to use legraphista/glm-4-9b-chat-1m-GGUF with Ollama:
```
ollama run hf.co/legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S
```
Unsloth Desktop
Docker Model Runner
How to use legraphista/glm-4-9b-chat-1m-GGUF with Docker Model Runner:
```
docker model run hf.co/legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S
```

Lemonade

How to use legraphista/glm-4-9b-chat-1m-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull legraphista/glm-4-9b-chat-1m-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.glm-4-9b-chat-1m-GGUF-Q4_K_S

List all available models

lemonade list

Atomic Chat

legraphista commited on Jun 20, 2024

Commit

782e28b

verified ·

1 Parent(s): b1ad643

Upload README.md with huggingface_hub

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README.md CHANGED Viewed

@@ -80,8 +80,8 @@ IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dc
 | [glm-4-9b-chat-1m.Q3_K_L.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.Q3_K_L.gguf) | Q3_K_L | 5.33GB | ✅ Available | ⚪ Static | 📦 No
 | [glm-4-9b-chat-1m.Q3_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.Q3_K_S.gguf) | Q3_K_S | 4.62GB | ✅ Available | ⚪ Static | 📦 No
 | [glm-4-9b-chat-1m.IQ3_M.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.IQ3_M.gguf) | IQ3_M | 4.86GB | ✅ Available | ⚪ Static | 📦 No
-| glm-4-9b-chat-1m.IQ3_S | IQ3_S | - | ⏳ Processing | ⚪ Static | -
-| glm-4-9b-chat-1m.IQ3_XS | IQ3_XS | - | ⏳ Processing | ⚪ Static | -
 | [glm-4-9b-chat-1m.Q2_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.Q2_K.gguf) | Q2_K | 4.02GB | ✅ Available | ⚪ Static | 📦 No

 | [glm-4-9b-chat-1m.Q3_K_L.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.Q3_K_L.gguf) | Q3_K_L | 5.33GB | ✅ Available | ⚪ Static | 📦 No
 | [glm-4-9b-chat-1m.Q3_K_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.Q3_K_S.gguf) | Q3_K_S | 4.62GB | ✅ Available | ⚪ Static | 📦 No
 | [glm-4-9b-chat-1m.IQ3_M.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.IQ3_M.gguf) | IQ3_M | 4.86GB | ✅ Available | ⚪ Static | 📦 No
+| [glm-4-9b-chat-1m.IQ3_S.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.IQ3_S.gguf) | IQ3_S | 4.62GB | ✅ Available | ⚪ Static | 📦 No
+| [glm-4-9b-chat-1m.IQ3_XS.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.IQ3_XS.gguf) | IQ3_XS | 4.47GB | ✅ Available | ⚪ Static | 📦 No
 | [glm-4-9b-chat-1m.Q2_K.gguf](https://huggingface.co/legraphista/glm-4-9b-chat-1m-GGUF/blob/main/glm-4-9b-chat-1m.Q2_K.gguf) | Q2_K | 4.02GB | ✅ Available | ⚪ Static | 📦 No