
This model is tuned on the **LogiCoT** data and the GPT-4 alpaca data with the **LLaMa-7b** model.

We use 2 A100 GPUs

We first instruction-tuning LLaMa-7b on the GPT-4 alpaca data for 3 days, then on the LogiCoT data for 4 days.
{"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["logical"], "datasets": ["csitfun/LogiCoT"], "pipeline_tag": "text-generation"}
transformers pytorch llama text-generation logical en dataset:csitfun/LogiCoT license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #logical #en #dataset-csitfun/LogiCoT #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 


This model is tuned on the LogiCoT data and the GPT-4 alpaca data with the LLaMa-7b model.

We use 2 A100 GPUs

We first instruction-tuning LLaMa-7b on the GPT-4 alpaca data for 3 days, then on the LogiCoT data for 4 days.
TAGS
#transformers #pytorch #llama #text-generation #logical #en #dataset-csitfun/LogiCoT #license-cc-by-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
