Download config.json from AETHORIA-AI/TR-HASH-MoE-200M-160B-Refinement: direct link, hf CLI and curl.
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https://huggingface.co/AETHORIA-AI/TR-HASH-MoE-200M-160B-Refinement/resolve/main/config.json
- Command line
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hf download hf://AETHORIA-AI/TR-HASH-MoE-200M-160B-Refinement/config.json
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curl -L -o config.json https://huggingface.co/AETHORIA-AI/TR-HASH-MoE-200M-160B-Refinement/resolve/main/config.json
3.29 kB
| { | |
| "hidden_size": 896, | |
| "num_hidden_layers": 16, | |
| "intermediate_size": 256, | |
| "vocab_size": 32000, | |
| "num_attention_heads": 14, | |
| "num_key_value_heads": 2, | |
| "attention_type": "gqa", | |
| "attention_dropout": 0.0, | |
| "use_qk_norm": true, | |
| "sliding_window": null, | |
| "causal_conv_kernel_size": 4, | |
| "causal_conv_dilation_cycle": 8, | |
| "causal_state_rank": 16, | |
| "causal_context_gate_init": 1.0, | |
| "causal_contextual_mix_init": 0.0, | |
| "causal_context_fusion_size": 0, | |
| "causal_stable_delta": false, | |
| "causal_delta_chunk_size": 512, | |
| "causal_delta_timescales": 1, | |
| "causal_delta_collision_normalized": false, | |
| "causal_delta_lexical_values": false, | |
| "causal_delta_lexical_forge": false, | |
| "causal_delta_occurrence_address": false, | |
| "tr_mha_num_experts": 4, | |
| "tr_mha_adapter_rank": 8, | |
| "tr_mha_top_k": 2, | |
| "tr_mha_adapter_gate_init": 0.1, | |
| "tr_mha_id_primary_logit": 2.0, | |
| "tr_mha_id_secondary_logit": 1.0, | |
| "tr_mha_id_other_logit": -2.0, | |
| "tr_mha_verifier_gate_init": 0.1, | |
| "tr_mha_verifier_temperature": 1.0, | |
| "tr_mha_targets": "qv", | |
| "max_position_embeddings": 2048, | |
| "rope_theta": 10000.0, | |
| "rope_type": "standard", | |
| "rope_fraction": 1.0, | |
| "mlp_type": "tr_hash_engine", | |
| "hidden_act": "silu", | |
| "num_experts": 4, | |
| "expert_initialization": "gpt_normal", | |
| "token_frequencies": null, | |
| "routing_strategy": "token_id_multi_hash", | |
| "route_hash_count": 2, | |
| "lsh_routing": false, | |
| "lsh_bits": 0, | |
| "lsh_from_layer": 0, | |
| "lsh_threshold_mode": "zero", | |
| "shared_expert": true, | |
| "shared_intermediate_size": 3072, | |
| "shared_expert_chunk_tokens": 0, | |
| "use_shared_routed_gates": false, | |
| "shared_gate_init": 1.0, | |
| "routed_gate_init": 1.0, | |
| "shared_output_scale": 1.0, | |
| "routed_output_scale": 2.0, | |
| "shared_output_scale_first_layer": null, | |
| "shared_output_scale_last_layer": null, | |
| "routed_output_scale_first_layer": null, | |
| "routed_output_scale_last_layer": null, | |
| "top_k_primary_weight": 0.5, | |
| "learn_hash_pair_gates": false, | |
| "hash_pair_gate_init": 0.5, | |
| "learn_hash_channel_modulation": false, | |
| "hash_channel_scale_init": 0.0, | |
| "static_expert_capacity": false, | |
| "use_custom_kernels": "auto", | |
| "collect_moe_telemetry": false, | |
| "use_cggr": "auto", | |
| "active_num_experts": null, | |
| "active_expert_width": null, | |
| "lexical_object_rank": 16, | |
| "lexical_object_gate_init": 0.1, | |
| "tie_lexical_object_embeddings": false, | |
| "micro_num_experts": 4, | |
| "micro_expert_width": 16, | |
| "micro_expert_gate_init": 0.1, | |
| "lexical_gqa_rank": 16, | |
| "lexical_gqa_gate_init": 0.0, | |
| "lexical_gqa_use_token_code": true, | |
| "lexical_key_gate_init": 0.05, | |
| "lexical_zipf_path": null, | |
| "lexical_zipf_mode": "uniform", | |
| "lexical_zipf_alpha": 0.25, | |
| "lexical_zipf_floor": 0.1, | |
| "lexical_zipf_permutation_seed": 1729, | |
| "norm_type": "rmsnorm", | |
| "norm_eps": 1e-06, | |
| "tie_word_embeddings": true, | |
| "use_sdpa": true, | |
| "use_cache": true, | |
| "is_causal": true, | |
| "initializer_range": 0.02, | |
| "use_mup_init": false, | |
| "use_mup_attn_scale": false, | |
| "use_mup_output_mult": false, | |
| "mup_base_width": 256, | |
| "extra_config": {}, | |
| "model_type": "tr_hash_moe", | |
| "architectures": [ | |
| "TRHashForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_tr_hash_moe.TRHashConfig", | |
| "AutoModelForCausalLM": "modeling_tr_hash_moe.TRHashForCausalLM" | |
| }, | |
| "num_experts_per_tok": 2 | |
| } | |