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mini-glm-5.2

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mini-glm-5.2
File size: 2,753 Bytes
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{
  "architectures": [
    "GlmMoeDsaForCausalLM"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "dtype": "bfloat16",
  "eos_token_id": [
    154820,
    154827,
    154829
  ],
  "ep_size": 1,
  "first_k_dense_replace": 2,
  "head_dim": 64,
  "hidden_act": "silu",
  "hidden_size": 6144,
  "index_head_dim": 128,
  "index_n_heads": 32,
  "index_share_for_mtp_iteration": true,
  "index_skip_topk_offset": 3,
  "index_topk": 2048,
  "index_topk_freq": 4,
  "index_topk_pattern": null,
  "indexer_rope_interleave": true,
  "indexer_types": [
    "full",
    "full",
    "shared",
    "shared",
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    "full",
    "shared",
    "shared",
    "shared",
    "full",
    "shared",
    "shared",
    "shared",
    "full"
  ],
  "initializer_range": 0.02,
  "intermediate_size": 12288,
  "kv_lora_rank": 512,
  "max_position_embeddings": 16384,
  "mlp_layer_types": [
    "dense",
    "dense",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse",
    "sparse"
  ],
  "model_type": "glm_moe_dsa",
  "moe_intermediate_size": 2048,
  "moe_layer_freq": 1,
  "n_group": 1,
  "n_routed_experts": 256,
  "n_shared_experts": 1,
  "norm_topk_prob": true,
  "num_attention_heads": 64,
  "num_experts_per_tok": 8,
  "num_hidden_layers": 14,
  "num_key_value_heads": 64,
  "num_nextn_predict_layers": 1,
  "pad_token_id": 154820,
  "pretraining_tp": 1,
  "q_lora_rank": 2048,
  "qk_head_dim": 256,
  "qk_nope_head_dim": 192,
  "qk_rope_head_dim": 64,
  "rms_norm_eps": 1e-05,
  "rope_interleave": true,
  "rope_parameters": {
    "rope_theta": 8000000,
    "rope_type": "default"
  },
  "routed_scaling_factor": 2.5,
  "scoring_func": "sigmoid",
  "tie_word_embeddings": false,
  "topk_group": 1,
  "topk_method": "noaux_tc",
  "transformers_version": "5.12.0",
  "use_cache": true,
  "v_head_dim": 256,
  "vocab_size": 154880,
  "torch_dtype": "bfloat16",
  "v1c_full_upscale": {
    "source_checkpoint": "/root/inference-v2/mini-glm-5.2/v1a-mini-model/checkpoints/stage-b2-finewebedu16k-cont100m-2gpu/final",
    "target_config": "/root/inference-v2/mini-glm-5.2/v1a-mini-model/config/glm-5.2-original-config.json",
    "active_hidden_size": 1024,
    "active_attention_heads": 16,
    "active_routed_experts": 16,
    "inactive_expert_bias": -1000000000.0,
    "expansion_strategy": "tiled active subspace with averaged input repeats",
    "strict_equivalence_caveat": "RoPE 32->64 maps source frequencies into every-other target pair; unused target RoPE pairs are zero.",
    "mtp_source_checkpoint": "/root/inference-v2/mini-glm-5.2/v1b-mtp/checkpoints/mtp-active-decoder-serveddata-align-1k/final",
    "num_nextn_predict_layers": 1
  }
}