Instructions to use TheBloke/StableBeluga-7B-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/StableBeluga-7B-GGML with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TheBloke/StableBeluga-7B-GGML")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/StableBeluga-7B-GGML", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use TheBloke/StableBeluga-7B-GGML with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TheBloke/StableBeluga-7B-GGML" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TheBloke/StableBeluga-7B-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/TheBloke/StableBeluga-7B-GGML
- SGLang
How to use TheBloke/StableBeluga-7B-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 "TheBloke/StableBeluga-7B-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": "TheBloke/StableBeluga-7B-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 "TheBloke/StableBeluga-7B-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": "TheBloke/StableBeluga-7B-GGML", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use TheBloke/StableBeluga-7B-GGML with Docker Model Runner:
docker model run hf.co/TheBloke/StableBeluga-7B-GGML
How to use ctransfomers with GGML files?
Tom, I have not been able to get GGML models to work with ctransformers or llama-cpp-python. They do work when I use LM Studio. I've tried several different ones and always get a nondescript error: "Failed to create LLM 'llama' from 'stablebeluga-7b.ggmlv3.q5_1.bin'." The .bin file is in the same directory and it shows up on a listdir(). What step am I missing?
code:
from ctransformers import AutoModelForCausalLM
llm = AutoModelForCausalLM.from_pretrained('stablebeluga-7b.ggmlv3.q5_1.bin', model_type='llama')
Tom, I have not been able to get GGML models to work with ctransformers or llama-cpp-python. They do work when I use LM Studio. I've tried several different ones and always get a nondescript error: "Failed to create LLM 'llama' from 'stablebeluga-7b.ggmlv3.q5_1.bin'." The .bin file is in the same directory and it shows up on a listdir(). What step am I missing?
code:
from ctransformers import AutoModelForCausalLM
llm = AutoModelForCausalLM.from_pretrained('stablebeluga-7b.ggmlv3.q5_1.bin', model_type='llama')
Transformers load Transformers models, GGML models are loaded my llama.cpp and its variants.