Instructions to use LDCC/LDCC-SOLAR-10.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDCC/LDCC-SOLAR-10.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="LDCC/LDCC-SOLAR-10.7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("LDCC/LDCC-SOLAR-10.7B") model = AutoModelForCausalLM.from_pretrained("LDCC/LDCC-SOLAR-10.7B") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use LDCC/LDCC-SOLAR-10.7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "LDCC/LDCC-SOLAR-10.7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "LDCC/LDCC-SOLAR-10.7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/LDCC/LDCC-SOLAR-10.7B
- SGLang
How to use LDCC/LDCC-SOLAR-10.7B 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 "LDCC/LDCC-SOLAR-10.7B" \ --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": "LDCC/LDCC-SOLAR-10.7B", "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 "LDCC/LDCC-SOLAR-10.7B" \ --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": "LDCC/LDCC-SOLAR-10.7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use LDCC/LDCC-SOLAR-10.7B with Docker Model Runner:
docker model run hf.co/LDCC/LDCC-SOLAR-10.7B
GGUF version ?
#2
by notzero - opened
Hi, is there gguf version for this ?
Thanks
Yes, there is a GGUF version available for this. You can find it at the following link: LDCC-SOLAR-10.7B-GGUF.
@krevas Thanks
Edit : Sorry, do you have smaller quants ? I only have M2 16gb ram, or can you tell me how to quants it to gguf ? I think I tried it before and not working
Edit2 : I can just quantize it myself then using your fp16.gguf, sorry :)
notzero changed discussion status to closed
I've also uploaded the quantization model.