Instructions to use None1145/ChatGLM3-6B-Theresa-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use None1145/ChatGLM3-6B-Theresa-GGML with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="None1145/ChatGLM3-6B-Theresa-GGML")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("None1145/ChatGLM3-6B-Theresa-GGML", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use None1145/ChatGLM3-6B-Theresa-GGML with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "None1145/ChatGLM3-6B-Theresa-GGML"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "None1145/ChatGLM3-6B-Theresa-GGML",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/None1145/ChatGLM3-6B-Theresa-GGML

SGLang

How to use None1145/ChatGLM3-6B-Theresa-GGML with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "None1145/ChatGLM3-6B-Theresa-GGML" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "None1145/ChatGLM3-6B-Theresa-GGML",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "None1145/ChatGLM3-6B-Theresa-GGML" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "None1145/ChatGLM3-6B-Theresa-GGML",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use None1145/ChatGLM3-6B-Theresa-GGML with Docker Model Runner:
```
docker model run hf.co/None1145/ChatGLM3-6B-Theresa-GGML
```

Configuration Parsing Warning:Invalid JSON for config file config.json

Model Introduction

These models are based on the audio training of Theresa from Arknights

Chat

git clone --recursive https://github.com/li-plus/chatglm.cpp.git && cd chatglm.cpp
cmake -B build
cmake --build build -j --config Release
./build/bin/main -m ChatGLM3-6B-Theresa-GGML-Q8_0.bin -p 你好 -s "请扮演特蕾西娅"
# 现在我们出去走走，好吗？

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ChatGLM3-6B-Theresa-GGML

Model Introduction

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