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README.md ADDED
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+ ---
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+ base_model:
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+ - mistralai/Mistral-7B-Instruct-v0.2
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+ - LeroyDyer/Mixtral_AI_Cyber_3.0
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+ - LeroyDyer/Mixtral_AI_MultiToken
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+ - LeroyDyer/Mixtral_AI_Multi_TEST
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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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+ # merge
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [LeroyDyer/Mixtral_AI_Cyber_3.0](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_3.0) 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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+ * [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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+ * [LeroyDyer/Mixtral_AI_MultiToken](https://huggingface.co/LeroyDyer/Mixtral_AI_MultiToken)
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+ * [LeroyDyer/Mixtral_AI_Multi_TEST](https://huggingface.co/LeroyDyer/Mixtral_AI_Multi_TEST)
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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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+
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+ models:
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+ - model: LeroyDyer/Mixtral_AI_Multi_TEST
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+ parameters:
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+ density: [0.87, 0.721, 0.451] # density gradient
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+ weight: 0.876
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+ - model: LeroyDyer/Mixtral_AI_MultiToken
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+ parameters:
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+ density: 0.232
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+ weight: [0.36, 0.3, 0.437, 0.76] # weight gradient
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+ - model: mistralai/Mistral-7B-Instruct-v0.2
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+ parameters:
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+ density: 0.475
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+ weight:
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+ - filter: mlp
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+ value: 0.5
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+ - value: 0
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+ merge_method: ties
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+ base_model: LeroyDyer/Mixtral_AI_Cyber_3.0
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "LeroyDyer/Mixtral_AI_Cyber_3.0",
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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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+ "pad_token_id": 2,
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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": "4.38.2",
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+ "unsloth_version": "2024.3",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+
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+ models:
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+ - model: LeroyDyer/Mixtral_AI_Multi_TEST
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+ parameters:
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+ density: [0.87, 0.721, 0.451] # density gradient
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+ weight: 0.876
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+ - model: LeroyDyer/Mixtral_AI_MultiToken
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+ parameters:
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+ density: 0.232
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+ weight: [0.36, 0.3, 0.437, 0.76] # weight gradient
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+ - model: mistralai/Mistral-7B-Instruct-v0.2
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+ parameters:
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+ density: 0.475
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+ weight:
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+ - filter: mlp
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+ value: 0.5
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+ - value: 0
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+ merge_method: ties
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+ base_model: LeroyDyer/Mixtral_AI_Cyber_3.0
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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