Instructions to use AdityaPandey/mistral_128k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdityaPandey/mistral_128k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TheBloke/Yarn-Mistral-7B-128k-GPTQ") model = PeftModel.from_pretrained(base_model, "AdityaPandey/mistral_128k") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from AdityaPandey/mistral_128k: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/AdityaPandey/mistral_128k/resolve/1dab8b45f9d23748ca09462fb79f8a02f2b5c97b/adapter_model.safetensors
- Command line
-
hf download hf://AdityaPandey/mistral_128k@1dab8b45f9d23748ca09462fb79f8a02f2b5c97b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/AdityaPandey/mistral_128k/resolve/1dab8b45f9d23748ca09462fb79f8a02f2b5c97b/adapter_model.safetensors
436 MB
- Xet hash:
- a445002b843fb8c0d7353540b092a876d34202d255cb1820962661eecd44fdc7
- Size of remote file:
- 436 MB
- SHA256:
- 5f7367c9f6feda2a033181fdeed630ca1694495e17f67a6b27ddc111e8127bdd
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