Model Card: Yarn-Solar-10b-64k

Preprint (arXiv)
GitHub

Model Description

Yarn-Solar-10b-64k is a state-of-the-art language model for long context, further pretrained on two billion long context tokens using the YaRN extension method. It is an extension of SOLAR-10.7B-v1.0 and supports a 64k token context window.

To use, pass trust_remote_code=True when loading the model, for example

model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Solar-10b-64k",
  attn_implementation="flash_attention_2",
  torch_dtype=torch.bfloat16,
  device_map="auto",
  trust_remote_code=True)

In addition you will need to use the latest version of transformers

pip install git+https://github.com/huggingface/transformers

Benchmarks

Long context benchmarks:

Short context benchmarks showing that quality degradation is minimal:

Collaborators

• bloc97: Methods, paper and evals
• @theemozilla: Methods, paper, model training, and evals
• @EnricoShippole: Model training
• honglu2875: Paper and evals

The authors would like to thank LAION AI for their support of compute for this model. It was trained on the JUWELS supercomputer.