Download config.json from tturing/DM-GDNMLA-1.7B-DM: direct link, hf CLI and curl.
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- Download file 1.52 kB
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https://huggingface.co/tturing/DM-GDNMLA-1.7B-DM/resolve/main/config.json
- Command line
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hf download hf://tturing/DM-GDNMLA-1.7B-DM/config.json
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curl -L -o config.json https://huggingface.co/tturing/DM-GDNMLA-1.7B-DM/resolve/main/config.json
1.52 kB
| { | |
| "attn_impl": "sdpa", | |
| "attn_output_gate": true, | |
| "bqa_local_precision": "fp8", | |
| "bqa_nvfp4_block": 16, | |
| "bqa_remote_k_precision": "fp8", | |
| "bqa_remote_topk": -1, | |
| "bqa_remote_v_precision": "nvfp4", | |
| "bqa_rotate": true, | |
| "bqa_window": 512, | |
| "d_model": 2048, | |
| "ffn_mult": 2.6666666666666665, | |
| "ffn_multiple_of": 256, | |
| "gdn_head_dim": 128, | |
| "gdn_num_heads": 16, | |
| "gdn_num_v_heads": null, | |
| "head_dim": 128, | |
| "hidden_size": 2048, | |
| "intermediate_size": 6144, | |
| "kv_lora_rank": 384, | |
| "layer_mixers": [ | |
| "gated_deltanet", | |
| "gated_deltanet", | |
| "gated_deltanet", | |
| "mla" | |
| ], | |
| "mamba2_chunk_size": 256, | |
| "mamba2_d_state": 128, | |
| "mamba2_expand": 2, | |
| "mamba2_headdim": null, | |
| "mamba2_ngroups": 1, | |
| "max_position_embeddings": 8192, | |
| "max_seq_len": 8192, | |
| "mixer": "gqa", | |
| "model_type": "bqalm", | |
| "n_heads": 16, | |
| "n_kv_heads": 16, | |
| "n_layers": 24, | |
| "nope": false, | |
| "norm_eps": 1e-06, | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "partial_rotary_factor": 0.5, | |
| "qk_norm": true, | |
| "rms_norm_in_fp32": true, | |
| "rope_parameters": { | |
| "partial_rotary_factor": 0.5, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "rope_theta": 10000000, | |
| "tie_embeddings": true, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.9.0", | |
| "vocab_size": 32000, | |
| "z_loss_weight": 0.0, | |
| "architectures": [ | |
| "BqaLMForCausalLM" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_bqalm.BqaLMConfig", | |
| "AutoModelForCausalLM": "modeling_bqalm.BqaLMForCausalLM" | |
| } | |
| } | |