Instructions to use BlackSamorez/HuYaLM-100B-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BlackSamorez/HuYaLM-100B-fp16 with Transformers:
# Load model directly from transformers import YalmCausalLM model = YalmCausalLM.from_pretrained("BlackSamorez/HuYaLM-100B-fp16", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Possible to convert to GGUF?
#1
by jackboot - opened
You think it would run on llama.cpp?
GGUF is not just a format, but rather a framework, which, most certainly, doesn't support this model.
Did you try GPTQ as well? Or the only option is to load in 4 bit with bnb?
GPTQ is also very model-specific. I do not know or any out-of-the-box quantization solutions apart from BnB.