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lfm2.5-350m-hssa/hssa_conversion.json

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{
"adapter_class": "LfmHSSAAttentionAdapter",
"converted_layers": [
2,
5,
8,
10,
12,
14
],
"format_version": 1,
"hssa_config": {
"attention_backend": "torch",
"attention_dropout": 0.0,
"block_size": 64,
"head_dim": 64,
"hidden_size": 1024,
"local_window": 256,
"num_attention_heads": 16,
"num_key_value_heads": 8,
"prefill_group_chunk_size": 32,
"qk_norm": false,
"query_group_size": 16,
"router_aux_max_groups": 256,
"router_aux_num_candidates": 32,
"router_aux_target_temperature": 0.25,
"router_beam_width": 16,
"router_dim": 128,
"router_score_bias": 0.25,
"router_temperature": 1.0,
"top_blocks": 8
},
"model_type": "lfm2",
"source_model": "models/LFM2.5-350M-Base",
"transformers_version": "5.13.1"
}