Uses of Interface
io.github.kirstenali.deepj.nn.transformer.CausalLM

Packages that use CausalLM

Package	Description
io.github.kirstenali.deepj.nn.transformer
io.github.kirstenali.deepj.nn.transformer.loop
io.github.kirstenali.deepj.nn.transformer.nova
io.github.kirstenali.deepj.nn.transformer.orbit
io.github.kirstenali.deepj.nn.transformer.origin
io.github.kirstenali.deepj.nn.transformer.prism
io.github.kirstenali.deepj.training

Uses of CausalLM in io.github.kirstenali.deepj.nn.transformer

Classes in io.github.kirstenali.deepj.nn.transformer that implement CausalLM

Modifier and Type	Class	Description
class	DecoderOnlyModel

Methods in io.github.kirstenali.deepj.nn.transformer with parameters of type CausalLM

Modifier and Type	Method	Description
static String	TextGenerator.generate(CausalLM model, Tokenizer tok, TransformerConfig cfg, String prompt, int maxNewTokens, float temperature, int topK, long seed)
static String	TextGenerator.generate(CausalLM model, Tokenizer tok, TransformerConfig cfg, String prompt, int maxNewTokens, float temperature, int topK, long seed, float repetitionPenalty)
static String	TextGenerator.stream(CausalLM model, Tokenizer tok, TransformerConfig cfg, String prompt, int maxNewTokens, float temperature, int topK, long seed, float repetitionPenalty, Consumer<String> listener)
static String	TextGenerator.stream(CausalLM model, Tokenizer tok, TransformerConfig cfg, String prompt, int maxNewTokens, float temperature, int topK, long seed, Consumer<String> listener)

Uses of CausalLM in io.github.kirstenali.deepj.nn.transformer.loop

Classes in io.github.kirstenali.deepj.nn.transformer.loop that implement CausalLM

Modifier and Type	Class	Description
final class	DeepJLoop	A looped causal decoder reusing grouped-query attention and SwiGLU blocks across passes.

Uses of CausalLM in io.github.kirstenali.deepj.nn.transformer.nova

Classes in io.github.kirstenali.deepj.nn.transformer.nova that implement CausalLM

Modifier and Type	Class	Description
final class	DeepJNova	A decoder with grouped-query attention, optional QK normalization, and tied embeddings.

Uses of CausalLM in io.github.kirstenali.deepj.nn.transformer.orbit

Classes in io.github.kirstenali.deepj.nn.transformer.orbit that implement CausalLM

Modifier and Type	Class	Description
final class	DeepJOrbit

Uses of CausalLM in io.github.kirstenali.deepj.nn.transformer.origin

Classes in io.github.kirstenali.deepj.nn.transformer.origin that implement CausalLM

Modifier and Type	Class	Description
final class	DeepJOrigin

Uses of CausalLM in io.github.kirstenali.deepj.nn.transformer.prism

Classes in io.github.kirstenali.deepj.nn.transformer.prism that implement CausalLM

Modifier and Type	Class	Description
final class	DeepJPrism

Uses of CausalLM in io.github.kirstenali.deepj.training

Methods in io.github.kirstenali.deepj.training with parameters of type CausalLM

Modifier and Type	Method	Description
static EvaluationResult	CausalLMEvaluation.evaluate(CausalLM model, BatchSource source, int batches, int batchSize)
static EvaluationResult	FixedTextValidation.evaluate(CausalLM model, Path corpus, Tokenizer tokenizer, FixedTextValidation.Settings settings)
static EvaluationResult	FixedTextValidation.evaluate(CausalLM model, Path corpus, Tokenizer tokenizer, FixedTextValidation.Settings settings, TextFileRange range)
static Trainer	CausalLMTraining.trainer(CausalLM model, BatchSource dataset, float lr)
static Trainer	CausalLMTraining.trainer(CausalLM model, BatchSource dataset, ParameterOptimizer optimizer)