Instructions to use yang-z/CodeV-CL-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yang-z/CodeV-CL-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="yang-z/CodeV-CL-7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("yang-z/CodeV-CL-7B") model = AutoModelForCausalLM.from_pretrained("yang-z/CodeV-CL-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use yang-z/CodeV-CL-7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "yang-z/CodeV-CL-7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "yang-z/CodeV-CL-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/yang-z/CodeV-CL-7B
- SGLang
How to use yang-z/CodeV-CL-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 "yang-z/CodeV-CL-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": "yang-z/CodeV-CL-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 "yang-z/CodeV-CL-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": "yang-z/CodeV-CL-7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use yang-z/CodeV-CL-7B with Docker Model Runner:
docker model run hf.co/yang-z/CodeV-CL-7B
zhaoyang commited on
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README.md
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| 6.7B | [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) | [
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| 7B | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) | [zyyy1023399127/CodeV-CL-7B](https://huggingface.co/zyyy1023399127/CodeV-CL-7B) |
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| 7B | [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) | [zyyy1023399127/CodeV-QW-7B](https://huggingface.co/zyyy1023399127/CodeV-QW-7B) |
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| | Base Model | CodeV |
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| 6.7B | [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) | [zyyy1023399127/CodeV-DS-6.7B](https://huggingface.co/zyyy1023399127/CodeV-DS-6.7B) |
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| 7B | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) | [zyyy1023399127/CodeV-CL-7B](https://huggingface.co/zyyy1023399127/CodeV-CL-7B) |
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| 7B | [Qwen/CodeQwen1.5-7B-Chat](https://huggingface.co/Qwen/CodeQwen1.5-7B-Chat) | [zyyy1023399127/CodeV-QW-7B](https://huggingface.co/zyyy1023399127/CodeV-QW-7B) |
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