Feature Extraction
Transformers
Safetensors
internlm2
internlm 2.5
gptq
4bit
gptqmodel
custom_code
4-bit precision
Instructions to use ModelCloud/internlm-2.5-7b-gptq-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelCloud/internlm-2.5-7b-gptq-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ModelCloud/internlm-2.5-7b-gptq-4bit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ModelCloud/internlm-2.5-7b-gptq-4bit", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
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