This a ~90m assistant model for cameloid models like LLama/Alpaca/Vicuna/Guanaco that use the llama tokenizer, allowing for speedups up to 3x with greed sampling. Its trained on 5.5 billion tokens of refinedweb and uses the GPTBigcode architecture and has a context window: 1024. To use please see this article on assisted generation https://huggingface.co/blog/assisted-generation.
{"language": ["en"], "license": "bigcode-openrail-m", "datasets": ["tiiuae/falcon-refinedweb"]}
transformers pytorch gpt_bigcode text-generation en dataset:tiiuae/falcon-refinedweb license:bigcode-openrail-m autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_bigcode #text-generation #en #dataset-tiiuae/falcon-refinedweb #license-bigcode-openrail-m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

This a ~90m assistant model for cameloid models like LLama/Alpaca/Vicuna/Guanaco that use the llama tokenizer, allowing for speedups up to 3x with greed sampling. Its trained on 5.5 billion tokens of refinedweb and uses the GPTBigcode architecture and has a context window: 1024. To use please see this article on assisted generation URL
TAGS
#transformers #pytorch #gpt_bigcode #text-generation #en #dataset-tiiuae/falcon-refinedweb #license-bigcode-openrail-m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
