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README.md CHANGED
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  ---
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- license: apache-2.0
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - openaccess-ai-collective/dpopenhermes-alpha-v0
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+ - simonveitner/Math-OpenHermes-2.5-Mistral-7B
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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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+ # merged
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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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+ * [openaccess-ai-collective/dpopenhermes-alpha-v0](https://huggingface.co/openaccess-ai-collective/dpopenhermes-alpha-v0)
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+ * [simonveitner/Math-OpenHermes-2.5-Mistral-7B](https://huggingface.co/simonveitner/Math-OpenHermes-2.5-Mistral-7B)
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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: simonveitner/Math-OpenHermes-2.5-Mistral-7B
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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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+ - 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: simonveitner/Math-OpenHermes-2.5-Mistral-7B
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+ - layer_range: [0, 32]
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+ model: openaccess-ai-collective/dpopenhermes-alpha-v0
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+ ```
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+ {
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+ "_name_or_path": "simonveitner/Math-OpenHermes-2.5-Mistral-7B",
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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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+ "hidden_act": "silu",
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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": "4.35.2",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
mergekit_config.yml ADDED
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+ base_model: simonveitner/Math-OpenHermes-2.5-Mistral-7B
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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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+ - 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: simonveitner/Math-OpenHermes-2.5-Mistral-7B
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+ - layer_range: [0, 32]
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+ model: openaccess-ai-collective/dpopenhermes-alpha-v0
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