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README.md ADDED
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+ ---
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+ license: other
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - deepseek-ai/deepseek-math-7b-rl
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+ - deepseek-ai/deepseek-math-7b-instruct
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+ ---
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+
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+ # deep-wizard-7B-slerp
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+
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+ deep-wizard-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deepseek-math-7b-rl)
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+ * [deepseek-ai/deepseek-math-7b-instruct](https://huggingface.co/deepseek-ai/deepseek-math-7b-instruct)
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+
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+ ## 🧩 Configuration
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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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+ # no parameters necessary for base model
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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: 0.7
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+ - model: deepseek-ai/deepseek-math-7b-instruct
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+ parameters:
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+ density: 0.5
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+ weight: 0.3
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+ merge_method: dare_ties
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+ base_model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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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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+ "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": "bfloat16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 102400
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+ }
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+
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+ models:
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+ - model: deepseek-ai/deepseek-math-7b-base
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+ # no parameters necessary for base model
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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: 0.7
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+ - model: deepseek-ai/deepseek-math-7b-instruct
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+ parameters:
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+ density: 0.5
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+ weight: 0.3
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+ merge_method: dare_ties
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+ base_model: deepseek-ai/deepseek-math-7b-base
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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