Add model configuration
Browse files- config.yml +66 -0
config.yml
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| 1 |
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model_name: shc-evo2-20b
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vocab_size: 512
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hidden_size: 8192
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# Number of independent filters in Hyena-LI
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num_filters: 8192
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hcl_layer_idxs: [2,6,9,13,16,20,23]
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hcm_layer_idxs: [1,5,8,12,15,19,22]
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hcs_layer_idxs: [0,4,7,11,14,18,21]
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attn_layer_idxs: [3,10,17]
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hcm_filter_length: 128
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hcl_filter_groups: 8192
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hcm_filter_groups: 512
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hcs_filter_groups: 512
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hcs_filter_length: 7
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num_layers: 24
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# Length of the short, depthwise FIR applied to input projections
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short_filter_length: 3
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num_attention_heads: 64
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short_filter_bias: false # add bias to FIR
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mlp_init_method: torch.nn.init.zeros_
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mlp_output_init_method: torch.nn.init.zeros_
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eps: 0.000001
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state_size: 16
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rotary_emb_base: 1000000
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rotary_emb_scaling_factor: 128
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use_interpolated_rotary_pos_emb: True
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make_vocab_size_divisible_by: 8
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inner_size_multiple_of: 128 # force GLU inner_size to be a multiple of
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inner_mlp_size: 22528
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log_intermediate_values: False
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# Number of groups in GQA
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proj_groups: 1
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# Number of groups in grouped
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hyena_filter_groups: 1
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# Split strategy for channels
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column_split_hyena: False
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column_split: True
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interleave: True
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# Layer > 0 nn.identity activation
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evo2_style_activations: True
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use_fp8_input_projections: True
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# Legacy options for MP / PP inference
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model_parallel_size: 1
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pipe_parallel_size: 1
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tie_embeddings: True
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mha_out_proj_bias: True
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hyena_out_proj_bias: True
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hyena_flip_x1x2: False
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qkv_proj_bias: False
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max_seqlen: 1048576
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max_batch_size: 1
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final_norm: True
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use_flash_attn: True
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use_flash_rmsnorm: False
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use_flash_depthwise: False
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use_flashfft: False
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use_laughing_hyena: False
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inference_mode: True
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tokenizer_type: CharLevelTokenizer
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prefill_style: fft
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mlp_activation: gelu
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print_activations: False
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