Instructions to use OpenVINO/codegen25-7b-multi-fp16-ov with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OpenVINO/codegen25-7b-multi-fp16-ov with Transformers:

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

pipe = pipeline("text-generation", model="OpenVINO/codegen25-7b-multi-fp16-ov")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OpenVINO/codegen25-7b-multi-fp16-ov")
model = AutoModelForCausalLM.from_pretrained("OpenVINO/codegen25-7b-multi-fp16-ov")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OpenVINO/codegen25-7b-multi-fp16-ov with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OpenVINO/codegen25-7b-multi-fp16-ov"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OpenVINO/codegen25-7b-multi-fp16-ov",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/OpenVINO/codegen25-7b-multi-fp16-ov

SGLang

How to use OpenVINO/codegen25-7b-multi-fp16-ov 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 "OpenVINO/codegen25-7b-multi-fp16-ov" \
    --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": "OpenVINO/codegen25-7b-multi-fp16-ov",
		"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 "OpenVINO/codegen25-7b-multi-fp16-ov" \
        --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": "OpenVINO/codegen25-7b-multi-fp16-ov",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use OpenVINO/codegen25-7b-multi-fp16-ov with Docker Model Runner:
```
docker model run hf.co/OpenVINO/codegen25-7b-multi-fp16-ov
```

sylwia-kuros commited on Nov 5, 2024

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@@ -1,10 +1,12 @@
 ---
 license: apache-2.0
 license_link: https://choosealicense.com/licenses/apache-2.0/
 ---
 # codegen25-7b-multi-fp16-ov
 * Model creator: [Salesforce](https://huggingface.co/Salesforce)
- * Original model: [codegen25-7b-multi](https://huggingface.co/Salesforce/codegen25-7b-multi)
 ## Description
@@ -52,4 +54,4 @@ The original model is distributed under [apache-2.0](https://choosealicense.com/
 ## Disclaimer
-Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

 ---
 license: apache-2.0
 license_link: https://choosealicense.com/licenses/apache-2.0/
+base_model:
+- Salesforce/codegen25-7b-multi_P
 ---
 # codegen25-7b-multi-fp16-ov
 * Model creator: [Salesforce](https://huggingface.co/Salesforce)
+ * Original model: [codegen25-7b-multi_P](https://huggingface.co/Salesforce/codegen25-7b-multi_P)
 ## Description
 ## Disclaimer
+Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.