Uses of Interface
io.github.kirstenali.deepj.models.CausalLM
Packages that use CausalLM
Package
Description
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Uses of CausalLM in io.github.kirstenali.deepj.models
Classes in io.github.kirstenali.deepj.models that implement CausalLMModifier and TypeClassDescriptionclassShared skeleton for decoder-only transformer models: token embedding → block stack → final norm → LM-head. -
Uses of CausalLM in io.github.kirstenali.deepj.models.deepseek
Classes in io.github.kirstenali.deepj.models.deepseek that implement CausalLMModifier and TypeClassDescriptionfinal classDeepSeek-style decoder-only transformer. -
Uses of CausalLM in io.github.kirstenali.deepj.models.gpt
Classes in io.github.kirstenali.deepj.models.gpt that implement CausalLMModifier and TypeClassDescriptionfinal classMinimal GPT-style decoder-only transformer for educational/training use. -
Uses of CausalLM in io.github.kirstenali.deepj.models.llama
Classes in io.github.kirstenali.deepj.models.llama that implement CausalLM -
Uses of CausalLM in io.github.kirstenali.deepj.training
Methods in io.github.kirstenali.deepj.training with parameters of type CausalLMModifier and TypeMethodDescriptionstatic EvaluationResultCausalLMEvaluation.evaluate(CausalLM model, BatchSource source, int batches, int batchSize) static TrainerCausalLMTraining.trainer(CausalLM model, BatchSource dataset, float lr) static TrainerCausalLMTraining.trainer(CausalLM model, BatchSource dataset, ParameterOptimizer optimizer)