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README.md ADDED
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+ ---
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+ base_model:
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+ - adowu/a3
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+ - adowu/a1
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+ - adowu/a2
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [adowu/a2](https://huggingface.co/adowu/a2) 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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+ * [adowu/a3](https://huggingface.co/adowu/a3)
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+ * [adowu/a1](https://huggingface.co/adowu/a1)
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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: adowu/a1
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+ parameters:
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+ density: 1.0
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+ weight: 0.9
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+ - model: adowu/a2
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+ parameters:
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+ density: 1.0
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+ weight: 0.7
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+ - model: adowu/a3
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+ parameters:
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+ density: 1.0
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+ weight: 0.8
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+ merge_method: dare_ties
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+ base_model: adowu/a2
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+ parameters:
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+ normalize: true
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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": "adowu/a2",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 8192,
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+ "max_position_embeddings": 256000,
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+ "model_type": "mistral",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 2,
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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": "bfloat16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "vocab_size": 32002
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+ }
mergekit_config.yml ADDED
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+ models:
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+ - model: adowu/a1
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+ parameters:
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+ density: 1.0
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+ weight: 0.9
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+ - model: adowu/a2
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+ parameters:
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+ density: 1.0
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+ weight: 0.7
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+ - model: adowu/a3
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+ parameters:
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+ density: 1.0
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+ weight: 0.8
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+ merge_method: dare_ties
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+ base_model: adowu/a2
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: bfloat16
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