Instructions to use stanrom/internlm-xcomposer-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stanrom/internlm-xcomposer-7b-4bit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="stanrom/internlm-xcomposer-7b-4bit", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("stanrom/internlm-xcomposer-7b-4bit", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
gptq_model-4bit-128g.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec9ffb67f19ca55f3ce3610cc400779bcf7dfeef74f05a63a3732ee0e424aedc
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size 7251336824
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model.safetensors.index.json
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