Model assets for the first Mixture-of-Lora technique applied to Llama. https://bit.ly/48bqshl
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GPT2 Models using Linear layers instead of Conv layers for convenience.
Smaller models trained locally on my 2xA6000 Lambda Vector
First Prototype of the second iteration of MoLora utilizing mixture of expert techniques applied to the Llama2 model.
Parts of Meta's LlamaV2 models, chopped up and trained. CoreX means the first X layers were kept.
Allowing for the LM to learn a soft-"multi-step program" to predict future tokens instead of learning to predict future tokens itself.
Model assets for the first Mixture-of-Lora technique applied to Llama. https://bit.ly/48bqshl
First Prototype of the second iteration of MoLora utilizing mixture of expert techniques applied to the Llama2 model.
GPT2 Models using Linear layers instead of Conv layers for convenience.
Parts of Meta's LlamaV2 models, chopped up and trained. CoreX means the first X layers were kept.
Smaller models trained locally on my 2xA6000 Lambda Vector
Allowing for the LM to learn a soft-"multi-step program" to predict future tokens instead of learning to predict future tokens itself.