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Types & classes41 in github.com/metavoiceio/metavoice-src

↓ 3 callersClassInferenceConfig
fam/llm/inference.py:34
↓ 3 callersClassLayerNorm
LayerNorm but with an optional bias. PyTorch doesn't support simply bias=False
fam/llm/layers/layers.py:8
↓ 3 callersClassModel
fam/llm/inference.py:53
↓ 3 callersClassRMSNorm
fam/llm/fast_model.py:250
↓ 3 callersClassRMSNorm
fam/llm/layers/layers.py:20
↓ 3 callersClassSpeakerEncoder
fam/quantiser/audio/speaker_encoder/model.py:21
↓ 3 callersClassTelemetryEvent
fam/telemetry/__init__.py:10
↓ 2 callersClassFlattenedInterleavedEncodec2Codebook
fam/llm/adapters/flattened_encodec.py:4
↓ 2 callersClassGPT
fam/llm/model.py:79
↓ 2 callersClassGPTConfig
fam/llm/model.py:27
↓ 2 callersClassPosthogClient
fam/telemetry/posthog.py:15
↓ 2 callersClassTiltedEncodec
fam/llm/adapters/tilted_encodec.py:4
↓ 2 callersClassTrainedBPETokeniser
fam/quantiser/text/tokenise.py:4
↓ 2 callersClassWeightOnlyInt4Linear
fam/llm/fast_quantize.py:308
↓ 1 callersClassAttention
fam/llm/fast_model.py:184
↓ 1 callersClassBlock
Block class represents a single block in the model. Args: config (object): Configuration object containing parameters for the block.
fam/llm/layers/combined.py:7
↓ 1 callersClassDFEnhancer
fam/llm/enhancers.py:70
↓ 1 callersClassFeedForward
fam/llm/fast_model.py:240
↓ 1 callersClassKVCache
fam/llm/fast_model.py:97
↓ 1 callersClassMLP
fam/llm/layers/layers.py:43
↓ 1 callersClassSelfAttention
fam/llm/layers/attn.py:8
↓ 1 callersClassSwiGLU
fam/llm/fast_model.py:230
↓ 1 callersClassSwiGLU
fam/llm/layers/layers.py:33
↓ 1 callersClassTTS
fam/llm/fast_inference.py:38
↓ 1 callersClassTransformerBlock
fam/llm/fast_model.py:170
↓ 1 callersClassWeightOnlyInt4QuantHandler
fam/llm/fast_quantize.py:258
↓ 1 callersClassWeightOnlyInt8Linear
fam/llm/fast_quantize.py:183
↓ 1 callersClassWeightOnlyInt8QuantHandler
fam/llm/fast_quantize.py:162
↓ 1 callersClass_GlobalState
serving.py:46
ClassBaseDataAdapter
fam/llm/adapters/base.py:4
ClassBaseEnhancer
Base class for audio enhancers
fam/llm/enhancers.py:55
ClassCausalInferenceMixin
Mixin class for performing inference in a causal language model. This mixin provides methods for predicting the next token in a sequence, sa
fam/llm/mixins/causal.py:33
ClassDecoder
fam/llm/decoders.py:16
ClassDynamicComputeDataset
fam/llm/loaders/training_data.py:24
ClassEncodecDecoder
fam/llm/decoders.py:22
ClassModelArgs
fam/llm/fast_model.py:53
ClassNonCausalInferenceMixin
Mixin class for non-causal inference in a language model. This class provides methods for performing non-causal sampling using a language mo
fam/llm/mixins/non_causal.py:7
ClassSamplingControllerConfig
Sample from a trained model.
fam/llm/inference.py:591
ClassServingConfig
serving.py:30
ClassTelemetryClient
fam/telemetry/__init__.py:15
ClassTransformer
fam/llm/fast_model.py:116