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README.md ADDED
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+ ---
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+ base_model:
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+ - deepseek-ai/deepseek-math-7b-base
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+ - AI-MO/NuminaMath-7B-TIR
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+ - deepseek-ai/deepseek-math-7b-rl
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+ - ALBADDAWI/DeepCode-7B-Aurora-v3
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) 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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+ * [AI-MO/NuminaMath-7B-TIR](https://huggingface.co/AI-MO/NuminaMath-7B-TIR)
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+ * [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
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+ * [ALBADDAWI/DeepCode-7B-Aurora-v3](https://huggingface.co/ALBADDAWI/DeepCode-7B-Aurora-v3)
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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: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ density: 1.0
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+ weight: 0.4
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+ - model: AI-MO/NuminaMath-7B-TIR
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+ parameters:
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+ density: 0.5
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+ weight: 0.3
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+ - model: deepseek-ai/deepseek-math-7b-rl
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: ALBADDAWI/DeepCode-7B-Aurora-v3
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+ parameters:
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+ density: 0.5
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+ weight: 0.1
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+ merge_method: ties
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+ base_model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ normalize: true
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+ dtype: float16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "deepseek-ai/deepseek-math-7b-base",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 100000,
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+ "eos_token_id": 100001,
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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": 11008,
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+ "max_position_embeddings": 4096,
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+ "mlp_bias": false,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 30,
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+ "num_key_value_heads": 32,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-06,
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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": "float16",
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+ "transformers_version": "4.44.1",
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+ "use_cache": true,
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+ "vocab_size": 102400
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+ }
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+ models:
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+ - model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ density: 1.0
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+ weight: 0.4
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+ - model: AI-MO/NuminaMath-7B-TIR
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+ parameters:
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+ density: 0.5
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+ weight: 0.3
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+ - model: deepseek-ai/deepseek-math-7b-rl
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: ALBADDAWI/DeepCode-7B-Aurora-v3
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+ parameters:
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+ density: 0.5
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+ weight: 0.1
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+ merge_method: ties
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+ base_model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ normalize: true
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+ dtype: float16
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