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light-fairseq-moe-52b

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fairseq-moe
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  1. config.json +4 -8
  2. pytorch_model-00001-of-00129.bin +2 -2
  3. pytorch_model-00002-of-00129.bin +2 -2
  4. pytorch_model-00003-of-00129.bin +2 -2
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  50. pytorch_model-00049-of-00129.bin +2 -2
config.json CHANGED
@@ -1,12 +1,7 @@
1
  {
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- "_name_or_path": "/u/yli19/fairseq/converted_model/light-fs-52b",
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  "activation_function": "gelu",
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- "architectures": [
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- "FSGPTMoEForCausalLM"
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- ],
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- "model_type": "fairseq-moe",
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  "attention_dropout": 0.1,
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- "attention_heads": 16,
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  "batch_prioritized_routing": false,
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  "bos_token_id": 50257,
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  "classifier_dropout": 0.1,
@@ -18,12 +13,13 @@
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  "hidden_size": 1024,
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  "intermediate_size": 4096,
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  "max_position_embeddings": 2048,
 
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  "moe_eval_capacity_token_fraction": -1.0,
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  "moe_token_dropout": 0.2,
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  "no_scale_embedding": false,
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  "normalize_router_prob_before_dropping": false,
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  "num_experts": 512,
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- "num_heads": 16,
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  "num_layers": 24,
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  "output_router_logits": true,
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  "pad_token_id": 50258,
@@ -34,7 +30,7 @@
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  "second_expert_policy": "all",
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  "sparse_step": 2,
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  "tokenizer_class": "GPT2Tokenizer",
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- "torch_dtype": "bfloat16",
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  "transformers_version": "4.34.1",
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  "unk_token_id": 3,
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  "use_cache": true,
 
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+ "attention_heads": 32,
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  "classifier_dropout": 0.1,
 
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  "hidden_size": 1024,
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  "intermediate_size": 4096,
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  "max_position_embeddings": 2048,
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+ "model_type": "fairseq-moe",
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  "moe_eval_capacity_token_fraction": -1.0,
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  "moe_token_dropout": 0.2,
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  "no_scale_embedding": false,
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  "normalize_router_prob_before_dropping": false,
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  "num_experts": 512,
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  "num_layers": 24,
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  "second_expert_policy": "all",
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  "sparse_step": 2,
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  "tokenizer_class": "GPT2Tokenizer",
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+ "torch_dtype": "bfloat16",
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  "transformers_version": "4.34.1",
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  "unk_token_id": 3,
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  "use_cache": true,
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