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README.md ADDED
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+ ---
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+ base_model:
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+ - Alibaba-NLP/gte-Qwen2-7B-instruct
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+ - Qwen/Qwen2-7B-Instruct
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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 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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+ * [Alibaba-NLP/gte-Qwen2-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen2-7B-instruct)
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+ * [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct)
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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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+ models:
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+ - model: Qwen/Qwen2-7B-Instruct
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+ - model: Alibaba-NLP/gte-Qwen2-7B-instruct
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+ merge_method: slerp
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+ base_model: Alibaba-NLP/gte-Qwen2-7B-instruct
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+ dtype: bfloat16
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+ parameters:
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+ t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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+
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+ ```
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config.json ADDED
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+ {
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+ "_name_or_path": "Alibaba-NLP/gte-Qwen2-7B-instruct",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoModel": "Alibaba-NLP/gte-Qwen2-7B-instruct--modeling_qwen.Qwen2Model",
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+ "AutoModelForCausalLM": "Alibaba-NLP/gte-Qwen2-7B-instruct--modeling_qwen.Qwen2ForCausalLM",
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+ "AutoModelForSequenceClassification": "Alibaba-NLP/gte-Qwen2-7B-instruct--modeling_qwen.Qwen2ForSequenceClassification"
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+ },
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151643,
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+ "hidden_act": "silu",
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+ "hidden_size": 3584,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 18944,
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+ "max_position_embeddings": 131072,
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+ "max_window_layers": 28,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 28,
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+ "num_hidden_layers": 28,
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+ "num_key_value_heads": 4,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.1",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151646
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+ }
mergekit_config.yml ADDED
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+ models:
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+ - model: Qwen/Qwen2-7B-Instruct
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+ - model: Alibaba-NLP/gte-Qwen2-7B-instruct
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+ merge_method: slerp
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+ base_model: Alibaba-NLP/gte-Qwen2-7B-instruct
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+ dtype: bfloat16
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+ parameters:
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+ t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers
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