Instructions to use TheBloke/EverythingLM-13B-16K-GGML with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheBloke/EverythingLM-13B-16K-GGML with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TheBloke/EverythingLM-13B-16K-GGML", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download everythinglm-13b-16k.ggmlv3.q8_0.bin from TheBloke/EverythingLM-13B-16K-GGML: direct link, hf CLI and curl.
- Browser
- Download file 13.8 GB
-
https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGML/resolve/main/everythinglm-13b-16k.ggmlv3.q8_0.bin
- Command line
-
hf download hf://TheBloke/EverythingLM-13B-16K-GGML/everythinglm-13b-16k.ggmlv3.q8_0.bin
-
curl -L -o everythinglm-13b-16k.ggmlv3.q8_0.bin https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGML/resolve/main/everythinglm-13b-16k.ggmlv3.q8_0.bin
13.8 GB
- Xet hash:
- 515fcc0fa204094b5737f733885d66b9c28b6ccb96f20bd585f9629c0e1c6009
- Size of remote file:
- 13.8 GB
- SHA256:
- 4f8a6c6dfd38b66e4446f0cc938aad5db3b5e309447f8fb0ac7a359bb75a3fe6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.