Instructions to use legraphista/codegeex4-all-9b-IMat-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/codegeex4-all-9b-IMat-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/codegeex4-all-9b-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf legraphista/codegeex4-all-9b-IMat-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/codegeex4-all-9b-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama cli -hf legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S

Use Docker

docker model run hf.co/legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S

Llama new
LM Studio
Jan

vLLM

How to use legraphista/codegeex4-all-9b-IMat-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "legraphista/codegeex4-all-9b-IMat-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "legraphista/codegeex4-all-9b-IMat-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S

Ollama
How to use legraphista/codegeex4-all-9b-IMat-GGUF with Ollama:
```
ollama run hf.co/legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S
```
Unsloth Desktop
Docker Model Runner
How to use legraphista/codegeex4-all-9b-IMat-GGUF with Docker Model Runner:
```
docker model run hf.co/legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S
```

Lemonade

How to use legraphista/codegeex4-all-9b-IMat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull legraphista/codegeex4-all-9b-IMat-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.codegeex4-all-9b-IMat-GGUF-Q4_K_S

List all available models

lemonade list

Atomic Chat

legraphista commited on Jul 6, 2024

Commit

98ca100

verified ·

1 Parent(s): d75a7b7

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README.md CHANGED Viewed

@@ -84,8 +84,8 @@ Link: [here](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/
 | [codegeex4-all-9b.Q3_K_L.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q3_K_L.gguf) | Q3_K_L | 5.28GB | ✅ Available | 🟢 IMatrix | 📦 No
 | [codegeex4-all-9b.Q3_K_S.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q3_K_S.gguf) | Q3_K_S | 4.59GB | ✅ Available | 🟢 IMatrix | 📦 No
 | [codegeex4-all-9b.IQ3_M.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.IQ3_M.gguf) | IQ3_M | 4.81GB | ✅ Available | 🟢 IMatrix | 📦 No
-| codegeex4-all-9b.IQ3_S | IQ3_S | - | ⏳ Processing | 🟢 IMatrix | -
-| codegeex4-all-9b.IQ3_XS | IQ3_XS | - | ⏳ Processing | 🟢 IMatrix | -
 | codegeex4-all-9b.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
 | [codegeex4-all-9b.Q2_K.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q2_K.gguf) | Q2_K | 3.99GB | ✅ Available | 🟢 IMatrix | 📦 No
 | [codegeex4-all-9b.Q2_K_S.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q2_K_S.gguf) | Q2_K_S | 3.96GB | ✅ Available | 🟢 IMatrix | 📦 No

 | [codegeex4-all-9b.Q3_K_L.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q3_K_L.gguf) | Q3_K_L | 5.28GB | ✅ Available | 🟢 IMatrix | 📦 No
 | [codegeex4-all-9b.Q3_K_S.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q3_K_S.gguf) | Q3_K_S | 4.59GB | ✅ Available | 🟢 IMatrix | 📦 No
 | [codegeex4-all-9b.IQ3_M.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.IQ3_M.gguf) | IQ3_M | 4.81GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [codegeex4-all-9b.IQ3_S.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.IQ3_S.gguf) | IQ3_S | 4.59GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [codegeex4-all-9b.IQ3_XS.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.IQ3_XS.gguf) | IQ3_XS | 4.43GB | ✅ Available | 🟢 IMatrix | 📦 No
 | codegeex4-all-9b.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | 🟢 IMatrix | -
 | [codegeex4-all-9b.Q2_K.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q2_K.gguf) | Q2_K | 3.99GB | ✅ Available | 🟢 IMatrix | 📦 No
 | [codegeex4-all-9b.Q2_K_S.gguf](https://huggingface.co/legraphista/codegeex4-all-9b-IMat-GGUF/blob/main/codegeex4-all-9b.Q2_K_S.gguf) | Q2_K_S | 3.96GB | ✅ Available | 🟢 IMatrix | 📦 No