Instructions to use internlm/internlm2-20b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internlm/internlm2-20b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="internlm/internlm2-20b")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("internlm/internlm2-20b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use internlm/internlm2-20b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "internlm/internlm2-20b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "internlm/internlm2-20b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/internlm/internlm2-20b
- SGLang
How to use internlm/internlm2-20b 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 "internlm/internlm2-20b" \ --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": "internlm/internlm2-20b", "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 "internlm/internlm2-20b" \ --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": "internlm/internlm2-20b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use internlm/internlm2-20b with Docker Model Runner:
docker model run hf.co/internlm/internlm2-20b
Difference
Can you please explain the difference between internlm2-base and internlm2? Are they both base models?
Thank you for your attention, and let me explain:
(1)Both models are pretrained models.
(2)Compared to InternLM2-7B-Base(InternLM2-20B-Base), InternLM2-7B(InternLM2-20B) includes additional domain-enhanced data and has undergone further pretraining. It does not contain chat-specific corpora, and we have made every effort to ensure there is no data leakage.
(3)We are currently preparing a technical report to thoroughly explain the differences between these models.
ok - but what domain enhanced data is it enhanced with? what domains? How many tokens? Was it mixed with the prior dataset too? (without mixing it will have forgotten some of the old data - unless you froze some layers)
Can you explain under which circumstances would I want to use InternLM2-Base instead of InternLM2?
Where can I find the technical report?
