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README.md

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+---
+license: apache-2.0
+base_model:
+- google/flan-t5-small
+- google/flan-t5-small
+- google/flan-t5-small
+- google/flan-t5-small
+- google/flan-t5-small
+- google/flan-t5-small
+- google/flan-t5-small
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- google/flan-t5-small
+---
+
+# flan-t5-small-moe
+
+flan-t5-small-moe is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+* [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
+
+## ✨ Configuration
+
+```yaml
+base_model: google/flan-t5-small
+merge_method: moe
+gate_mode: hidden
+experts:
+  - source_model: google/flan-t5-small
+    positive_prompts: ["instruction", "task"]
+  - source_model: google/flan-t5-small
+    positive_prompts: ["reasoning", "logic"]
+  - source_model: google/flan-t5-small
+    positive_prompts: ["creative", "writing"]
+  - source_model: google/flan-t5-small
+    positive_prompts: ["code", "programming"]
+  - source_model: google/flan-t5-small
+    positive_prompts: ["science", "facts"]
+  - source_model: google/flan-t5-small
+    positive_prompts: ["math", "calculation"]
+  - source_model: google/flan-t5-small
+    positive_prompts: ["summary", "dialogue"]
+```

config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "classifier_dropout": 0.0,
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "dtype": "float32",
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_decoder": false,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "scale_decoder_outputs": false,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 200,
+      "min_length": 30,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4,
+      "prefix": "summarize: "
+    },
+    "translation_en_to_de": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to German: "
+    },
+    "translation_en_to_fr": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to French: "
+    },
+    "translation_en_to_ro": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "translate English to Romanian: "
+    }
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.2.0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "5.2.0"
+}

model.safetensors

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+size 307867048

tokenizer_config.json

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+  "is_local": false,
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+  "tokenizer_class": "T5Tokenizer",
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+}