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README.md ADDED
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+ ---
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+ base_model:
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+ - mistralai/Mistral-7B-v0.1
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+ - cognitivecomputations/dolphin-2.2.1-mistral-7b
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+ - Open-Orca/Mistral-7B-OpenOrca
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+ - openchat/openchat-3.5-0106
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+ - mlabonne/NeuralHermes-2.5-Mistral-7B
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+ - GreenNode/GreenNode-mini-7B-multilingual-v1olet
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+ - berkeley-nest/Starling-LM-7B-alpha
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+ - viethq188/LeoScorpius-7B-Chat-DPO
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+ - meta-math/MetaMath-Mistral-7B
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+ - Intel/neural-chat-7b-v3-3
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+ library_name: transformers
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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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+ # Moza-7B-v1.0
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
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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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+ * [cognitivecomputations/dolphin-2.2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.2.1-mistral-7b)
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+ * [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
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+ * [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
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+ * [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
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+ * [GreenNode/GreenNode-mini-7B-multilingual-v1olet](https://huggingface.co/GreenNode/GreenNode-mini-7B-multilingual-v1olet)
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+ * [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
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+ * [viethq188/LeoScorpius-7B-Chat-DPO](https://huggingface.co/viethq188/LeoScorpius-7B-Chat-DPO)
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+ * [meta-math/MetaMath-Mistral-7B](https://huggingface.co/meta-math/MetaMath-Mistral-7B)
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+ * [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3)
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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: mistralai/Mistral-7B-v0.1
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+ models:
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+ - model: mlabonne/NeuralHermes-2.5-Mistral-7B
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+ parameters:
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+ density: 0.63
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+ weight: 0.83
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+ - model: Intel/neural-chat-7b-v3-3
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+ parameters:
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+ density: 0.63
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+ weight: 0.74
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+ - model: meta-math/MetaMath-Mistral-7B
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+ parameters:
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+ density: 0.63
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+ weight: 0.22
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+ - model: openchat/openchat-3.5-0106
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+ parameters:
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+ density: 0.63
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+ weight: 0.37
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+ - model: Open-Orca/Mistral-7B-OpenOrca
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+ parameters:
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+ density: 0.63
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+ weight: 0.76
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+ - model: cognitivecomputations/dolphin-2.2.1-mistral-7b
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+ parameters:
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+ density: 0.63
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+ weight: 0.69
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+ - model: viethq188/LeoScorpius-7B-Chat-DPO
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+ parameters:
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+ density: 0.63
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+ weight: 0.38
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+ - model: GreenNode/GreenNode-mini-7B-multilingual-v1olet
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+ parameters:
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+ density: 0.63
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+ weight: 0.13
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+ - model: berkeley-nest/Starling-LM-7B-alpha
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+ parameters:
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+ density: 0.63
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+ weight: 0.33
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+ merge_method: dare_ties
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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+ ```
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+ {
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+ "_name_or_path": "mistralai/Mistral-7B-v0.1",
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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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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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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": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ base_model: mistralai/Mistral-7B-v0.1
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+ models:
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+ - model: mlabonne/NeuralHermes-2.5-Mistral-7B
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+ parameters:
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+ density: 0.63
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+ weight: 0.83
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+ - model: Intel/neural-chat-7b-v3-3
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+ parameters:
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+ density: 0.63
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+ weight: 0.74
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+ - model: meta-math/MetaMath-Mistral-7B
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+ parameters:
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+ density: 0.63
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+ weight: 0.22
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+ - model: openchat/openchat-3.5-0106
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+ parameters:
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+ density: 0.63
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+ weight: 0.37
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+ - model: Open-Orca/Mistral-7B-OpenOrca
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+ parameters:
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+ density: 0.63
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+ weight: 0.76
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+ - model: cognitivecomputations/dolphin-2.2.1-mistral-7b
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+ parameters:
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+ density: 0.63
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+ weight: 0.69
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+ - model: viethq188/LeoScorpius-7B-Chat-DPO
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+ parameters:
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+ density: 0.63
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+ weight: 0.38
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+ - model: GreenNode/GreenNode-mini-7B-multilingual-v1olet
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+ parameters:
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+ density: 0.63
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+ weight: 0.13
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+ - model: berkeley-nest/Starling-LM-7B-alpha
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+ parameters:
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+ density: 0.63
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+ weight: 0.33
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+ merge_method: dare_ties
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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