MemT-1.0-Flash / config.json
lulingoo's picture
Upload model weights
cb35498
Raw History Blame Contribute Delete
5.3 kB
{
"_name_or_path": "",
"architectures": [
"MemTDeepseekV4ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_memt.MemTDeepseekV4Config",
"AutoModelForCausalLM": "modeling_memt.MemTDeepseekV4ForCausalLM"
},
"bos_token_id": 0,
"chunk_size_feed_forward": 0,
"compress_rates": {
"compressed_sparse_attention": 4,
"heavily_compressed_attention": 128
},
"compress_rope_theta": 160000,
"dtype": "bfloat16",
"eos_token_id": 1,
"expert_dtype": "bf16",
"hc_eps": 1e-06,
"hc_mult": 4,
"hc_sinkhorn_iters": 20,
"head_dim": 512,
"hidden_act": "silu",
"hidden_size": 4096,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1"
},
"index_head_dim": 128,
"index_n_heads": 64,
"index_topk": 512,
"initializer_range": 0.02,
"is_encoder_decoder": false,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1
},
"layer_types": [
"sliding_attention",
"sliding_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention",
"heavily_compressed_attention",
"compressed_sparse_attention"
],
"max_position_embeddings": 1048576,
"memt": {
"chunk_tokens": 2048,
"gate_latent_norm": false,
"gate_rank": 512,
"gdn_version": "stable_gdn2",
"head_dim": 512,
"kv_groups": 8,
"kv_rank": 512,
"layers": [
4,
6,
8,
10,
12,
14,
16,
18,
20,
22,
24,
26,
28,
30,
32,
34,
36,
38,
40,
42
],
"memory_head_mode": "mha",
"memory_read_scale": "k_inv_sqrt",
"memory_update_mode": "token",
"memory_use_short_conv": false,
"norm_eps": 1e-06,
"num_kv_heads": 64,
"num_memory_heads": 64,
"output_gate_bias": true,
"output_gate_softcap_enabled": true,
"output_gate_softcap_limit": 2.0,
"output_gate_type": "silu",
"projection": "grouped_kv_low_rank",
"q_rank": 1024,
"stable_gdn2_sqrt_erase_gate": true,
"tail_policy": "commit"
},
"mlp_bias": false,
"mlp_layer_types": [
"hash_moe",
"hash_moe",
"hash_moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe",
"moe"
],
"model_type": "memt_deepseek_v4",
"moe_intermediate_size": 2048,
"n_routed_experts": 256,
"n_shared_experts": 1,
"norm_topk_prob": true,
"num_attention_heads": 64,
"num_experts_per_tok": 6,
"num_hidden_layers": 43,
"num_key_value_heads": 1,
"num_nextn_predict_layers": 0,
"o_groups": 8,
"o_lora_rank": 1024,
"output_attentions": false,
"output_hidden_states": false,
"output_router_logits": false,
"pad_token_id": 1,
"partial_rotary_factor": 0.125,
"problem_type": null,
"q_lora_rank": 1024,
"qk_rope_head_dim": 64,
"return_dict": true,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"compress": {
"attention_factor": 1.0,
"beta_fast": 32,
"beta_slow": 1,
"factor": 16,
"original_max_position_embeddings": 65536,
"partial_rotary_factor": 0.125,
"rope_theta": 160000,
"rope_type": "yarn",
"type": "yarn"
},
"main": {
"partial_rotary_factor": 0.125,
"rope_theta": 10000,
"rope_type": "default"
}
},
"rope_theta": 10000,
"routed_scaling_factor": 1.5,
"router_aux_loss_coef": 0.001,
"router_jitter_noise": 0.0,
"scoring_func": "sqrtsoftplus",
"sliding_window": 128,
"swiglu_limit": 10.0,
"tie_word_embeddings": false,
"topk_method": "noaux_tc",
"transformers_version": "5.12.1",
"use_cache": true,
"vocab_size": 129280
}