add model weights

config.json

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+{
+  "add_router_probs": false,
+  "architectures": [
+    "SwitchTransformersForConditionalGeneration"
+  ],
+  "d_ff": 4096,
+  "d_kv": 64,
+  "d_model": 1024,
+  "decoder_sparse_step": 2,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "encoder_sparse_step": 2,
+  "eos_token_id": 1,
+  "expert_capacity": 64,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "switch_transformers",
+  "num_decoder_layers": 24,
+  "num_experts": 128,
+  "num_heads": 16,
+  "num_layers": 24,
+  "num_sparse_decoder_layers": 12,
+  "num_sparse_encoder_layers": 12,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "router_aux_loss_coef": 0.001,
+  "router_bias": false,
+  "router_dtype": "float32",
+  "router_ignore_padding_tokens": false,
+  "router_jitter_noise": 0.01,
+  "router_type": "tokens_masked",
+  "router_z_loss_coef": 0.001,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.25.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

pytorch_model-00001-of-00006.bin

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