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{
"architecture": {
"attention_variant": "MHA",
"family": "causal_lm",
"is_moe": false,
"mixer": "attention",
"positional": "rope",
"tie_word_embeddings": true,
"view": "decoder"
},
"capabilities": {
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"sdpa",
"flash_attention",
"flex_attention"
],
"attention_patterns": [
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],
"attention_schedule": null,
"task_heads": [
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],
"tensor_parallel": true
},
"components": [
{
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"norm",
"rotary_emb"
],
"class_name": "CohereModel",
"id": "model",
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"path_pattern": "model"
},
{
"attributes": {
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},
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},
{
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},
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},
{
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},
"class_name": "CohereRotaryEmbedding",
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}
],
"config": {
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"model_type": "cohere",
"module": "transformers.models.cohere.configuration_cohere",
"referenced_fields": {
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},
"salient_fields": {
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"is_encoder_decoder": false,
"max_position_embeddings": 8192,
"num_attention_heads": 64,
"num_hidden_layers": 40,
"num_key_value_heads": 64,
"tie_word_embeddings": true,
"vocab_size": 256000
}
},
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]
},
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]
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],
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]
},
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],
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]
}
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},
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{
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{
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{
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{
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],
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"patches": [
{
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]
},
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"parent_class": "Module",
"relation": "new",
"target_class": "CohereLayerNorm"
},
{
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]
},
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},
{
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},
"parent_class": "LlamaMLP",
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},
{
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]
},
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},
{
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]
},
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},
{
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]
},
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"target_class": "CohereModel"
},
{
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]
},
"parent_class": "LlamaForCausalLM",
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"target_class": "CohereForCausalLM"
}
],
"provenance": {
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"config_module": "transformers.models.cohere.configuration_cohere",
"model_class": "CohereModel",
"model_module": "transformers.models.cohere.modeling_cohere"
},
"repeats": [
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"container_path_pattern": "model.layers",
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"count_source": "config",
"id": "decoder_layers",
"index_symbol": "i",
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"kind": "symbolic_repeat",
"provenance": {
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"container_path_pattern": "model.layers",
"item_path_pattern": "model.layers.{i}",
"source": "module_tree_repeat_collapse"
},
"repeated_class_name": "CohereDecoderLayer"
}
],
"schema_version": "architecture-template-v0",
"templates": [
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],
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"path_pattern": "model.layers.{i}"
},
{
"attributes": {
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"n_heads": 64,
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"pattern": "causal",
"rope": true,
"variant": "MHA"
},
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],
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},
{
"attributes": {
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{
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},
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{
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{
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}
]
}