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README.md ADDED
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+ ---
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+ base_model:
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+ - migtissera/Tess-v2.5-Phi-3-medium-128k-14B
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+ - jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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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 della_linear merge method using [jpacifico/Chocolatine-14B-Instruct-DPO-v1.2](https://huggingface.co/jpacifico/Chocolatine-14B-Instruct-DPO-v1.2) 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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+ * [migtissera/Tess-v2.5-Phi-3-medium-128k-14B](https://huggingface.co/migtissera/Tess-v2.5-Phi-3-medium-128k-14B)
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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: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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+ parameters:
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+ weight: 0.5
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+ density: 0.8
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+ - model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
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+ parameters:
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+ weight: 0.5
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+ density: 0.8
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+ merge_method: della_linear
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+ base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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+ parameters:
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+ epsilon: 0.05
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+ lambda: 1
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+ int8_mask: true
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+ dtype: bfloat16
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+ tokenzer_source: union
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+
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+ ```
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+ {
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+ "_name_or_path": "jpacifico/Chocolatine-14B-Instruct-DPO-v1.2",
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+ "architectures": [
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+ "Phi3ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "microsoft/Phi-3-medium-4k-instruct--configuration_phi3.Phi3Config",
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+ "AutoModelForCausalLM": "microsoft/Phi-3-medium-4k-instruct--modeling_phi3.Phi3ForCausalLM"
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+ },
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+ "bos_token_id": 1,
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+ "embd_pdrop": 0.0,
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+ "eos_token_id": 32000,
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+ "hidden_act": "silu",
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+ "hidden_size": 5120,
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+ "initializer_range": 0.02,
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+ "max_position_embeddings": 4096,
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+ "model_type": "phi3",
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+ "num_attention_heads": 40,
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+ "num_key_value_heads": 10,
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+ "original_max_position_embeddings": 4096,
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+ "resid_pdrop": 0.0,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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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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+ "vocab_size": 32064
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+ }
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+ models:
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+ parameters:
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+ weight: 0.5
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+ density: 0.8
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+ - model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
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+ parameters:
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+ weight: 0.5
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+ density: 0.8
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+ merge_method: della_linear
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+ base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
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+ parameters:
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+ epsilon: 0.05
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+ lambda: 1
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+ int8_mask: true
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+ dtype: bfloat16
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+ tokenzer_source: union
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