CoolFace
Modelpublic

TransWithAI/Step-Audio-R1.1-NVFP4

sourceHugging Faceapache-2.0updated 8mo agoView on Hugging Face
1likes12downloads
config.json362 linesDownload Raw Back to root
1{2  "architectures": [3    "StepAudio2ForCausalLM"4  ],5  "audio_encoder_config": {6    "adapter_stride": 2,7    "kernel_size": 3,8    "llm_dim": 5120,9    "model_type": "step_audio_2_encoder",10    "n_audio_ctx": 1500,11    "n_audio_head": 20,12    "n_audio_layer": 32,13    "n_audio_state": 1280,14    "n_codebook_size": 4096,15    "n_mels": 12816  },17  "auto_map": {18    "AutoConfig": "configuration_step_audio_2.StepAudio2Config",19    "AutoModelForCausalLM": "modeling_step_audio_2.StepAudio2ForCausalLM"20  },21  "dtype": "bfloat16",22  "max_window_layers": null,23  "model_type": "step_audio_2",24  "quantization_config": {25    "config_groups": {26      "group_0": {27        "format": "nvfp4-pack-quantized",28        "input_activations": {29          "actorder": null,30          "block_structure": null,31          "dynamic": "local",32          "group_size": 16,33          "num_bits": 4,34          "observer": "static_minmax",35          "observer_kwargs": {},36          "scale_dtype": "torch.float8_e4m3fn",37          "strategy": "tensor_group",38          "symmetric": true,39          "type": "float",40          "zp_dtype": null41        },42        "output_activations": null,43        "targets": [44          "Linear"45        ],46        "weights": {47          "actorder": null,48          "block_structure": null,49          "dynamic": false,50          "group_size": 16,51          "num_bits": 4,52          "observer": "static_minmax",53          "observer_kwargs": {},54          "scale_dtype": "torch.float8_e4m3fn",55          "strategy": "tensor_group",56          "symmetric": true,57          "type": "float",58          "zp_dtype": null59        }60      }61    },62    "format": "nvfp4-pack-quantized",63    "global_compression_ratio": null,64    "ignore": [65      "encoder.blocks.0.attn.query",66      "encoder.blocks.0.attn.key",67      "encoder.blocks.0.attn.value",68      "encoder.blocks.0.attn.out",69      "encoder.blocks.0.mlp.0",70      "encoder.blocks.0.mlp.2",71      "encoder.blocks.1.attn.query",72      "encoder.blocks.1.attn.key",73      "encoder.blocks.1.attn.value",74      "encoder.blocks.1.attn.out",75      "encoder.blocks.1.mlp.0",76      "encoder.blocks.1.mlp.2",77      "encoder.blocks.2.attn.query",78      "encoder.blocks.2.attn.key",79      "encoder.blocks.2.attn.value",80      "encoder.blocks.2.attn.out",81      "encoder.blocks.2.mlp.0",82      "encoder.blocks.2.mlp.2",83      "encoder.blocks.3.attn.query",84      "encoder.blocks.3.attn.key",85      "encoder.blocks.3.attn.value",86      "encoder.blocks.3.attn.out",87      "encoder.blocks.3.mlp.0",88      "encoder.blocks.3.mlp.2",89      "encoder.blocks.4.attn.query",90      "encoder.blocks.4.attn.key",91      "encoder.blocks.4.attn.value",92      "encoder.blocks.4.attn.out",93      "encoder.blocks.4.mlp.0",94      "encoder.blocks.4.mlp.2",95      "encoder.blocks.5.attn.query",96      "encoder.blocks.5.attn.key",97      "encoder.blocks.5.attn.value",98      "encoder.blocks.5.attn.out",99      "encoder.blocks.5.mlp.0",100      "encoder.blocks.5.mlp.2",101      "encoder.blocks.6.attn.query",102      "encoder.blocks.6.attn.key",103      "encoder.blocks.6.attn.value",104      "encoder.blocks.6.attn.out",105      "encoder.blocks.6.mlp.0",106      "encoder.blocks.6.mlp.2",107      "encoder.blocks.7.attn.query",108      "encoder.blocks.7.attn.key",109      "encoder.blocks.7.attn.value",110      "encoder.blocks.7.attn.out",111      "encoder.blocks.7.mlp.0",112      "encoder.blocks.7.mlp.2",113      "encoder.blocks.8.attn.query",114      "encoder.blocks.8.attn.key",115      "encoder.blocks.8.attn.value",116      "encoder.blocks.8.attn.out",117      "encoder.blocks.8.mlp.0",118      "encoder.blocks.8.mlp.2",119      "encoder.blocks.9.attn.query",120      "encoder.blocks.9.attn.key",121      "encoder.blocks.9.attn.value",122      "encoder.blocks.9.attn.out",123      "encoder.blocks.9.mlp.0",124      "encoder.blocks.9.mlp.2",125      "encoder.blocks.10.attn.query",126      "encoder.blocks.10.attn.key",127      "encoder.blocks.10.attn.value",128      "encoder.blocks.10.attn.out",129      "encoder.blocks.10.mlp.0",130      "encoder.blocks.10.mlp.2",131      "encoder.blocks.11.attn.query",132      "encoder.blocks.11.attn.key",133      "encoder.blocks.11.attn.value",134      "encoder.blocks.11.attn.out",135      "encoder.blocks.11.mlp.0",136      "encoder.blocks.11.mlp.2",137      "encoder.blocks.12.attn.query",138      "encoder.blocks.12.attn.key",139      "encoder.blocks.12.attn.value",140      "encoder.blocks.12.attn.out",141      "encoder.blocks.12.mlp.0",142      "encoder.blocks.12.mlp.2",143      "encoder.blocks.13.attn.query",144      "encoder.blocks.13.attn.key",145      "encoder.blocks.13.attn.value",146      "encoder.blocks.13.attn.out",147      "encoder.blocks.13.mlp.0",148      "encoder.blocks.13.mlp.2",149      "encoder.blocks.14.attn.query",150      "encoder.blocks.14.attn.key",151      "encoder.blocks.14.attn.value",152      "encoder.blocks.14.attn.out",153      "encoder.blocks.14.mlp.0",154      "encoder.blocks.14.mlp.2",155      "encoder.blocks.15.attn.query",156      "encoder.blocks.15.attn.key",157      "encoder.blocks.15.attn.value",158      "encoder.blocks.15.attn.out",159      "encoder.blocks.15.mlp.0",160      "encoder.blocks.15.mlp.2",161      "encoder.blocks.16.attn.query",162      "encoder.blocks.16.attn.key",163      "encoder.blocks.16.attn.value",164      "encoder.blocks.16.attn.out",165      "encoder.blocks.16.mlp.0",166      "encoder.blocks.16.mlp.2",167      "encoder.blocks.17.attn.query",168      "encoder.blocks.17.attn.key",169      "encoder.blocks.17.attn.value",170      "encoder.blocks.17.attn.out",171      "encoder.blocks.17.mlp.0",172      "encoder.blocks.17.mlp.2",173      "encoder.blocks.18.attn.query",174      "encoder.blocks.18.attn.key",175      "encoder.blocks.18.attn.value",176      "encoder.blocks.18.attn.out",177      "encoder.blocks.18.mlp.0",178      "encoder.blocks.18.mlp.2",179      "encoder.blocks.19.attn.query",180      "encoder.blocks.19.attn.key",181      "encoder.blocks.19.attn.value",182      "encoder.blocks.19.attn.out",183      "encoder.blocks.19.mlp.0",184      "encoder.blocks.19.mlp.2",185      "encoder.blocks.20.attn.query",186      "encoder.blocks.20.attn.key",187      "encoder.blocks.20.attn.value",188      "encoder.blocks.20.attn.out",189      "encoder.blocks.20.mlp.0",190      "encoder.blocks.20.mlp.2",191      "encoder.blocks.21.attn.query",192      "encoder.blocks.21.attn.key",193      "encoder.blocks.21.attn.value",194      "encoder.blocks.21.attn.out",195      "encoder.blocks.21.mlp.0",196      "encoder.blocks.21.mlp.2",197      "encoder.blocks.22.attn.query",198      "encoder.blocks.22.attn.key",199      "encoder.blocks.22.attn.value",200      "encoder.blocks.22.attn.out",201      "encoder.blocks.22.mlp.0",202      "encoder.blocks.22.mlp.2",203      "encoder.blocks.23.attn.query",204      "encoder.blocks.23.attn.key",205      "encoder.blocks.23.attn.value",206      "encoder.blocks.23.attn.out",207      "encoder.blocks.23.mlp.0",208      "encoder.blocks.23.mlp.2",209      "encoder.blocks.24.attn.query",210      "encoder.blocks.24.attn.key",211      "encoder.blocks.24.attn.value",212      "encoder.blocks.24.attn.out",213      "encoder.blocks.24.mlp.0",214      "encoder.blocks.24.mlp.2",215      "encoder.blocks.25.attn.query",216      "encoder.blocks.25.attn.key",217      "encoder.blocks.25.attn.value",218      "encoder.blocks.25.attn.out",219      "encoder.blocks.25.mlp.0",220      "encoder.blocks.25.mlp.2",221      "encoder.blocks.26.attn.query",222      "encoder.blocks.26.attn.key",223      "encoder.blocks.26.attn.value",224      "encoder.blocks.26.attn.out",225      "encoder.blocks.26.mlp.0",226      "encoder.blocks.26.mlp.2",227      "encoder.blocks.27.attn.query",228      "encoder.blocks.27.attn.key",229      "encoder.blocks.27.attn.value",230      "encoder.blocks.27.attn.out",231      "encoder.blocks.27.mlp.0",232      "encoder.blocks.27.mlp.2",233      "encoder.blocks.28.attn.query",234      "encoder.blocks.28.attn.key",235      "encoder.blocks.28.attn.value",236      "encoder.blocks.28.attn.out",237      "encoder.blocks.28.mlp.0",238      "encoder.blocks.28.mlp.2",239      "encoder.blocks.29.attn.query",240      "encoder.blocks.29.attn.key",241      "encoder.blocks.29.attn.value",242      "encoder.blocks.29.attn.out",243      "encoder.blocks.29.mlp.0",244      "encoder.blocks.29.mlp.2",245      "encoder.blocks.30.attn.query",246      "encoder.blocks.30.attn.key",247      "encoder.blocks.30.attn.value",248      "encoder.blocks.30.attn.out",249      "encoder.blocks.30.mlp.0",250      "encoder.blocks.30.mlp.2",251      "encoder.blocks.31.attn.query",252      "encoder.blocks.31.attn.key",253      "encoder.blocks.31.attn.value",254      "encoder.blocks.31.attn.out",255      "encoder.blocks.31.mlp.0",256      "encoder.blocks.31.mlp.2",257      "adapter.linear1",258      "adapter.linear2",259      "lm_head"260    ],261    "kv_cache_scheme": null,262    "quant_method": "compressed-tensors",263    "quantization_status": "compressed",264    "sparsity_config": {},265    "transform_config": {},266    "version": "0.13.0"267  },268  "sliding_window": 2048,269  "text_config": {270    "architectures": [271      "Qwen2ForCausalLM"272    ],273    "attention_dropout": 0.0,274    "dtype": "bfloat16",275    "hidden_act": "silu",276    "hidden_size": 5120,277    "initializer_range": 0.02,278    "intermediate_size": 27648,279    "layer_types": [280      "full_attention",281      "full_attention",282      "full_attention",283      "full_attention",284      "full_attention",285      "full_attention",286      "full_attention",287      "full_attention",288      "full_attention",289      "full_attention",290      "full_attention",291      "full_attention",292      "full_attention",293      "full_attention",294      "full_attention",295      "full_attention",296      "full_attention",297      "full_attention",298      "full_attention",299      "full_attention",300      "full_attention",301      "full_attention",302      "full_attention",303      "full_attention",304      "full_attention",305      "full_attention",306      "full_attention",307      "full_attention",308      "full_attention",309      "full_attention",310      "full_attention",311      "full_attention",312      "full_attention",313      "full_attention",314      "full_attention",315      "full_attention",316      "full_attention",317      "full_attention",318      "full_attention",319      "full_attention",320      "full_attention",321      "full_attention",322      "full_attention",323      "full_attention",324      "full_attention",325      "full_attention",326      "full_attention",327      "full_attention",328      "full_attention",329      "full_attention",330      "full_attention",331      "full_attention",332      "full_attention",333      "full_attention",334      "full_attention",335      "full_attention",336      "full_attention",337      "full_attention",338      "full_attention",339      "full_attention",340      "full_attention",341      "full_attention",342      "full_attention",343      "full_attention"344    ],345    "max_position_embeddings": 65536,346    "max_window_layers": 28,347    "model_type": "qwen2",348    "num_attention_heads": 40,349    "num_hidden_layers": 64,350    "num_attention_groups": 8,351    "num_key_value_heads": 8,352    "rms_norm_eps": 1e-05,353    "rope_scaling": null,354    "rope_theta": 1000000.0,355    "sliding_window": null,356    "use_cache": true,357    "use_sliding_window": false,358    "vocab_size": 158720359  },360  "transformers_version": "4.57.3",361  "use_sliding_window": false362}