Instructions to use NeoDim/starcoderbase-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeoDim/starcoderbase-GGML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="NeoDim/starcoderbase-GGML")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NeoDim/starcoderbase-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use NeoDim/starcoderbase-GGML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "NeoDim/starcoderbase-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/starcoderbase-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/NeoDim/starcoderbase-GGML
- SGLang
How to use NeoDim/starcoderbase-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/starcoderbase-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/starcoderbase-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/starcoderbase-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/starcoderbase-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use NeoDim/starcoderbase-GGML with Docker Model Runner:
docker model run hf.co/NeoDim/starcoderbase-GGML
missing tok_embeddings.weight error when trying to run with llama.cpp
i tryied to load the model with llama.cpp but i get this error, how can i fix it?:
my command:
./main -t 12 -m models/starcoderbase-ggml-q5_1.bin --color -c 2048 --temp 0.7 --top_k 40 --top_p 0.5 --repeat_penalty 1.17 -n -1 -r "### Human:" -i
output:
main: build = 588 (ac7876a)
main: seed = 1685012620
llama.cpp: loading model from models/starcoderbase-ggml-q5_1.bin
error loading model: missing tok_embeddings.weight
llama_init_from_file: failed to load model
llama_init_from_gpt_params: error: failed to load model 'models/starcoderbase-ggml-q5_1.bin'
main: error: unable to load model
llama.cpp not supported it - https://github.com/ggerganov/llama.cpp/issues/1441
There are starcoder.cpp, but there is another issue - https://github.com/bigcode-project/starcoder.cpp/issues/11
For now you can use example code from ggml main repo to inference - https://github.com/ggerganov/ggml/tree/master/examples/starcoder
For now koboldcpp supports starcoder gglm models.