maxtext.models.gpt_oss module

maxtext.models.gpt_oss module#

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maxtext.models.gpt_oss.get_attention_type(layer_id)[source]#

Get attention type based on layer ID.

class maxtext.models.gpt_oss.GptOssDecoderLayer(*args, **kwargs)[source]#

Bases: Module

Transformer decoder layer that attends to the encoder.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

Any

class maxtext.models.gpt_oss.GptOssScannableBlock(*args, **kwargs)[source]#

Bases: Module

A repeatable block of GPT OSS decoder layers.

This block applies multiple decoder layers sequentially, using the attention pattern defined by GPT_OSS_ATTENTION_PATTERN. It’s designed to be used with nn.scan for efficient compilation.

Parameters:

  • args (Any)

  • kwargs (Any)

Return type:

Any

config#

Config, MaxText model config

mesh#

Mesh, JAX device mesh (used for sharding)

num_of_layers#

int, number of decoder layers in the block

quant#

Optional[Quant], quantization config