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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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+ - mergekit
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+ - mistralai/Mistral-7B-v0.1
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+ - NousResearch/Hermes-2-Pro-Mistral-7B
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+ ---
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+
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+ # Mistmes-slerp
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+
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+ Mistmes-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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+ * [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
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+
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+ ## 🧩 Configuration
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+
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+ \```yaml
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+ slices:
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+ - sources:
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+ - model: mistralai/Mistral-7B-v0.1
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+ - model: NousResearch/Hermes-2-Pro-Mistral-7B
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+ merge_method: slerp
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+ base_model: mistralai/Mistral-7B-v0.1
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: float16
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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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+ "MixtralForCausalLM"
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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": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 2,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "router_aux_loss_coef": 0.001,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.39.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
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+
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+ experts:
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+ - source_model: mistralai/Mistral-7B-v0.1
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+ positive_prompts: ["You are a helpful assistant that gives reasoning to answers."]
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+ - source_model: NousResearch/Hermes-2-Pro-Mistral-7B
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+ positive_prompts: ["You are helping by answering the questions."]
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+ merge_method: slerp
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+ base_model: mistralai/Mistral-7B-v0.1
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: float16
model.safetensors.index.json ADDED
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