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github.com/metavoiceio/metavoice-src
/ types & classes
Types & classes
41 in github.com/metavoiceio/metavoice-src
⨍
Functions
178
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Types & classes
41
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Endpoints
2
↓ 3 callers
Class
InferenceConfig
fam/llm/inference.py:34
↓ 3 callers
Class
LayerNorm
LayerNorm but with an optional bias. PyTorch doesn't support simply bias=False
fam/llm/layers/layers.py:8
↓ 3 callers
Class
Model
fam/llm/inference.py:53
↓ 3 callers
Class
RMSNorm
fam/llm/fast_model.py:250
↓ 3 callers
Class
RMSNorm
fam/llm/layers/layers.py:20
↓ 3 callers
Class
SpeakerEncoder
fam/quantiser/audio/speaker_encoder/model.py:21
↓ 3 callers
Class
TelemetryEvent
fam/telemetry/__init__.py:10
↓ 2 callers
Class
FlattenedInterleavedEncodec2Codebook
fam/llm/adapters/flattened_encodec.py:4
↓ 2 callers
Class
GPT
fam/llm/model.py:79
↓ 2 callers
Class
GPTConfig
fam/llm/model.py:27
↓ 2 callers
Class
PosthogClient
fam/telemetry/posthog.py:15
↓ 2 callers
Class
TiltedEncodec
fam/llm/adapters/tilted_encodec.py:4
↓ 2 callers
Class
TrainedBPETokeniser
fam/quantiser/text/tokenise.py:4
↓ 2 callers
Class
WeightOnlyInt4Linear
fam/llm/fast_quantize.py:308
↓ 1 callers
Class
Attention
fam/llm/fast_model.py:184
↓ 1 callers
Class
Block
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 callers
Class
DFEnhancer
fam/llm/enhancers.py:70
↓ 1 callers
Class
FeedForward
fam/llm/fast_model.py:240
↓ 1 callers
Class
KVCache
fam/llm/fast_model.py:97
↓ 1 callers
Class
MLP
fam/llm/layers/layers.py:43
↓ 1 callers
Class
SelfAttention
fam/llm/layers/attn.py:8
↓ 1 callers
Class
SwiGLU
fam/llm/fast_model.py:230
↓ 1 callers
Class
SwiGLU
fam/llm/layers/layers.py:33
↓ 1 callers
Class
TTS
fam/llm/fast_inference.py:38
↓ 1 callers
Class
TransformerBlock
fam/llm/fast_model.py:170
↓ 1 callers
Class
WeightOnlyInt4QuantHandler
fam/llm/fast_quantize.py:258
↓ 1 callers
Class
WeightOnlyInt8Linear
fam/llm/fast_quantize.py:183
↓ 1 callers
Class
WeightOnlyInt8QuantHandler
fam/llm/fast_quantize.py:162
↓ 1 callers
Class
_GlobalState
serving.py:46
Class
BaseDataAdapter
fam/llm/adapters/base.py:4
Class
BaseEnhancer
Base class for audio enhancers
fam/llm/enhancers.py:55
Class
CausalInferenceMixin
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
Class
Decoder
fam/llm/decoders.py:16
Class
DynamicComputeDataset
fam/llm/loaders/training_data.py:24
Class
EncodecDecoder
fam/llm/decoders.py:22
Class
ModelArgs
fam/llm/fast_model.py:53
Class
NonCausalInferenceMixin
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
Class
SamplingControllerConfig
Sample from a trained model.
fam/llm/inference.py:591
Class
ServingConfig
serving.py:30
Class
TelemetryClient
fam/telemetry/__init__.py:15
Class
Transformer
fam/llm/fast_model.py:116