Instructions to use NeoDim/starcoder-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeoDim/starcoder-GGML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NeoDim/starcoder-GGML")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeoDim/starcoder-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use NeoDim/starcoder-GGML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeoDim/starcoder-GGML" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "NeoDim/starcoder-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NeoDim/starcoder-GGML
- SGLang
How to use NeoDim/starcoder-GGML 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 "NeoDim/starcoder-GGML" \ --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": "NeoDim/starcoder-GGML", "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 "NeoDim/starcoder-GGML" \ --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": "NeoDim/starcoder-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NeoDim/starcoder-GGML with Docker Model Runner:
docker model run hf.co/NeoDim/starcoder-GGML
how did you convert `transformers.PreTrainedTokenizer` to ggml format?
#2
by keunwoochoi - opened
can you share how you did it? i am trying to use my custom language model to ggml. but i also use a tokenizers.Tokenizer that i trained on my corpus.
i could get merges.txt and vocab.json, but idk how i can convert it to tokenizer.model file, which seems like the only format the ggml converter is compatible with.
thanks!
You need to add support of your model architecture into ggml - see https://github.com/ggerganov/ggml/tree/master/examples
There is no magical recipe. You also can see https://github.com/OpenNMT/CTranslate2 as an alternative.