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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - merge
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+ - samir-fama/SamirGPT-v1
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+ - abacusai/Slerp-CM-mist-dpo
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+ - EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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+ - Weyaxi/Einstein-v4-7B
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+ ---
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+
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+ # mistral-7b-merged-dare-v2
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+
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+ mistral-7b-merged-dare-v2 is a merge of the following models:
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+ * [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
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+ * [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)
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+ * [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)
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+ * [Weyaxi/Einstein-v4-7B](https://huggingface.co/Weyaxi/Einstein-v4-7B)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: mistralai/Mistral-7B-v0.1
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+ # No parameters necessary for base model
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+ - model: samir-fama/SamirGPT-v1
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+ parameters:
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+ density: 0.53
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+ weight: 0.4
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+ - model: abacusai/Slerp-CM-mist-dpo
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ - model: Weyaxi/Einstein-v4-7B
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ merge_method: dare_ties
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+ base_model: mistralai/Mistral-7B-v0.1
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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+
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+ ```
config.json ADDED
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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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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ }
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+
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+ models:
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+ - model: mistralai/Mistral-7B-v0.1
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+ # No parameters necessary for base model
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+ - model: samir-fama/SamirGPT-v1
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+ parameters:
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+ density: 0.53
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+ weight: 0.4
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+ - model: abacusai/Slerp-CM-mist-dpo
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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+ parameters:
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+ density: 0.53
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+ weight: 0.3
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+ - model: Weyaxi/Einstein-v4-7B
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+ density: 0.53
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+ weight: 0.3
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+ merge_method: dare_ties
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+ base_model: mistralai/Mistral-7B-v0.1
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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