Instructions to use m-a-p/OpenCodeInterpreter-DS-33B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use m-a-p/OpenCodeInterpreter-DS-33B with Transformers:

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

pipe = pipeline("text-generation", model="m-a-p/OpenCodeInterpreter-DS-33B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("m-a-p/OpenCodeInterpreter-DS-33B")
model = AutoModelForCausalLM.from_pretrained("m-a-p/OpenCodeInterpreter-DS-33B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use m-a-p/OpenCodeInterpreter-DS-33B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "m-a-p/OpenCodeInterpreter-DS-33B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "m-a-p/OpenCodeInterpreter-DS-33B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/m-a-p/OpenCodeInterpreter-DS-33B

SGLang

How to use m-a-p/OpenCodeInterpreter-DS-33B 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 "m-a-p/OpenCodeInterpreter-DS-33B" \
    --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": "m-a-p/OpenCodeInterpreter-DS-33B",
		"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 "m-a-p/OpenCodeInterpreter-DS-33B" \
        --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": "m-a-p/OpenCodeInterpreter-DS-33B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use m-a-p/OpenCodeInterpreter-DS-33B with Docker Model Runner:
```
docker model run hf.co/m-a-p/OpenCodeInterpreter-DS-33B
```

OpenCodeInterpreter-DS-33B

Commit History

Apr 10, 2024

14:09
Adding `safetensors` variant of this model⁠

SFconvertbot

Verified signature
451f801

Mar 3, 2024

11:44
Update README.md

aaabiao

Verified signature
c7d9400

Mar 2, 2024

17:14
Update config.json

aaabiao

Verified signature
030e42f

Mar 1, 2024

12:21
Update README.md (#6)⁠

aaabiao +1: Anitaliu98

Verified signature
c5251f9
11:14
Update README.md

aaabiao

Verified signature
09b4c15

Feb 28, 2024

05:36
Update config.json

aaabiao

Verified signature
ef4d7b1

Feb 25, 2024

14:57
Update README.md

aaabiao

Verified signature
e4088f3
14:56
Update README.md (#4)⁠

aaabiao +1: Anitaliu98

Verified signature
60b9f17
07:58
Update README.md (#3)⁠

aaabiao +1: froilo

Verified signature
324aa36

Feb 24, 2024

02:17
Update README.md

aaabiao

Verified signature
c036df9

Feb 21, 2024

16:27
Create README.md (#2)⁠

aaabiao +1: Anitaliu98

Verified signature
c93cc24

Feb 19, 2024

06:06
add model

wenhu

1f1bfe1
05:40
initial commit

aaabiao

Verified signature
961bbe3

Commit History

Apr 10, 2024

Adding `safetensors` variant of this model⁠

Mar 3, 2024

Update README.md

Mar 2, 2024

Update config.json

Mar 1, 2024

Update README.md (#6)⁠

Update README.md

Feb 28, 2024

Update config.json

Feb 25, 2024

Update README.md

Update README.md (#4)⁠

Update README.md (#3)⁠

Feb 24, 2024

Update README.md

Feb 21, 2024

Create README.md (#2)⁠

Feb 19, 2024

add model

initial commit