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README.md ADDED
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+ ---
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+ base_model:
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+ - NeverSleep/Noromaid-7b-v0.2
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+ - NeuralNovel/Aeryth-7B-v0.1
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+ tags:
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+ - mergekit
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+ - merge
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+
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+ ---
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+ # Noromaid-Aeryth-7B
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [NeverSleep/Noromaid-7b-v0.2](https://huggingface.co/NeverSleep/Noromaid-7b-v0.2)
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+ * [NeuralNovel/Aeryth-7B-v0.1](https://huggingface.co/NeuralNovel/Aeryth-7B-v0.1)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model: NeverSleep/Noromaid-7b-v0.2
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+ dtype: float16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.22, 0.61, 0.46, 0.77, 1.0]
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+ - filter: mlp
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+ value: [0.78, 0.39, 0.54, 0.23, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: NeuralNovel/Aeryth-7B-v0.1
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "NeverSleep/Noromaid-7b-v0.2",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ base_model: NeverSleep/Noromaid-7b-v0.2
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+ dtype: float16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.22, 0.61, 0.46, 0.77, 1.0]
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+ - filter: mlp
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+ value: [0.78, 0.39, 0.54, 0.23, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model: NeuralNovel/Aeryth-7B-v0.1
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