Instructions to use TIGER-Lab/MAmmoTH-Coder-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TIGER-Lab/MAmmoTH-Coder-7B with Transformers:

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

pipe = pipeline("text-generation", model="TIGER-Lab/MAmmoTH-Coder-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TIGER-Lab/MAmmoTH-Coder-7B")
model = AutoModelForCausalLM.from_pretrained("TIGER-Lab/MAmmoTH-Coder-7B")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use TIGER-Lab/MAmmoTH-Coder-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TIGER-Lab/MAmmoTH-Coder-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TIGER-Lab/MAmmoTH-Coder-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TIGER-Lab/MAmmoTH-Coder-7B

SGLang

How to use TIGER-Lab/MAmmoTH-Coder-7B 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 "TIGER-Lab/MAmmoTH-Coder-7B" \
    --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": "TIGER-Lab/MAmmoTH-Coder-7B",
		"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 "TIGER-Lab/MAmmoTH-Coder-7B" \
        --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": "TIGER-Lab/MAmmoTH-Coder-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TIGER-Lab/MAmmoTH-Coder-7B with Docker Model Runner:
```
docker model run hf.co/TIGER-Lab/MAmmoTH-Coder-7B
```

MAmmoTH-Coder-7B

Commit History

Update README.md

857751d

wenhu commited on Dec 5, 2023

Update README.md

76f6eb0

wenhu commited on Dec 5, 2023

Update README.md

4bcb888

yuexiang96 commited on Oct 23, 2023

Merge branch 'main' of https://huggingface.co/TIGER-Lab/MAmmoTH-Coder-7B into main

39a5370

xiangyue commited on Sep 15, 2023

update

0325532

xiangyue commited on Sep 15, 2023

Update README.md

3e42ca8

wenhu commited on Sep 13, 2023

Update README.md

3e24fc3

yuexiang96 commited on Sep 12, 2023