Text Generation
Transformers
Safetensors
English
llama
CodeMate
Code
CodeLLaMa
Eval Results (legacy)
text-generation-inference
Instructions to use codemateai/CodeMate-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codemateai/CodeMate-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="codemateai/CodeMate-v0.1")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("codemateai/CodeMate-v0.1") model = AutoModelForCausalLM.from_pretrained("codemateai/CodeMate-v0.1") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use codemateai/CodeMate-v0.1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "codemateai/CodeMate-v0.1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "codemateai/CodeMate-v0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/codemateai/CodeMate-v0.1
- SGLang
How to use codemateai/CodeMate-v0.1 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 "codemateai/CodeMate-v0.1" \ --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": "codemateai/CodeMate-v0.1", "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 "codemateai/CodeMate-v0.1" \ --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": "codemateai/CodeMate-v0.1", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use codemateai/CodeMate-v0.1 with Docker Model Runner:
docker model run hf.co/codemateai/CodeMate-v0.1
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- CodeMate
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- Code
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---
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# **CodeMate-v0.1**
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CodeMate-v0.1 is an intelligent programming assistant developed by [CodeMate](https://codemate.ai).
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- en
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library_name: transformers
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pipeline_tag: text-generation
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model-index:
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- name: CodeMate-v0.1
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results:
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- task:
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type: text-generation
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dataset:
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name: HumanEval
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type: openai_humaneval
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metrics:
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- name: pass@1
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type: pass@1
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value: 74.9%
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verified: false
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tags:
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- CodeMate
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- Code
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- CodeLLaMa
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---
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# **CodeMate-v0.1**
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CodeMate-v0.1 is an intelligent programming assistant developed by [CodeMate](https://codemate.ai).
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