mixtral

mixtral

Mixtral (MixtralForCausalLM).

Llama's tree and Llama's block: model.{embed_tokens, layers[i].{input_layernorm, self_attn, post_attention_layernorm, mlp}, norm} and lm_head, the residual added in the block, attention through the shared eager forward. The MLP is a sparse mixture of experts (Moe); its router, gate, is aliased router.

RENAME module-attribute

RENAME = {'model.embed_tokens': 'embed_tokens', 'model.layers': 'layers', 'model.norm': 'norm', 'gate': 'router'}

ENVOYS module-attribute

ENVOYS = {MixtralDecoderLayer: Layer, MixtralAttention: Attention, MixtralSparseMoeBlock: Mlp}

Mlp

Mlp(*args: Any, **kwargs: Any)

Bases: Moe

A mixture of experts: the module returns the routed hidden states (a bare tensor on this transformers), so the base holds.