{ "architectures": [ "GptOssForCausalLM" ], "attention_bias": true, "attention_dropout": 0.0, "bos_token_id": null, "dtype": "bfloat16", "eos_token_id": [ 200002, 199999 ], "experts_per_token": 4, "head_dim": 64, "hidden_act": "silu", "hidden_size": 2880, "initial_context_length": 4096, "initializer_range": 0.02, "intermediate_size": 2880, "layer_types": [ "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention", "sliding_attention", "full_attention" ], "max_position_embeddings": 131072, "model_type": "gpt_oss", "num_attention_heads": 64, "num_experts_per_tok": 4, "num_hidden_layers": 24, "num_key_value_heads": 8, "num_local_experts": 32, "output_router_logits": false, "pad_token_id": 199999, "quantization": { "group_size": 64, "bits": 4, "mode": "affine", "model.layers.0.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.1.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.2.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.3.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.4.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.5.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.6.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.7.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.8.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.9.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.10.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.11.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.12.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.13.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.14.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.15.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.16.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.17.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.18.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.19.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.20.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.21.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.22.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.23.mlp.router": { "group_size": 64, "bits": 8 } }, "quantization_config": { "group_size": 64, "bits": 4, "mode": "affine", "model.layers.0.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.1.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.2.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.3.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.4.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.5.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.6.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.7.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.8.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.9.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.10.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.11.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.12.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.13.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.14.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.15.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.16.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.17.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.18.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.19.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.20.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.21.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.22.mlp.router": { "group_size": 64, "bits": 8 }, "model.layers.23.mlp.router": { "group_size": 64, "bits": 8 } }, "rms_norm_eps": 1e-05, "rope_parameters": { "beta_fast": 32.0, "beta_slow": 1.0, "factor": 32.0, "original_max_position_embeddings": 4096, "rope_theta": 150000, "rope_type": "yarn", "truncate": false }, "router_aux_loss_coef": 0.9, "sliding_window": 128, "swiglu_limit": 7.0, "tie_word_embeddings": false, "transformers_version": "5.3.0", "use_cache": true, "vocab_size": 201088 }