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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - psmathur/orca_mini_v3_13b
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+ - garage-bAInd/Platypus2-13B
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+ - WizardLM/WizardMath-13B-V1.0
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+ ---
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+
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+ # amira
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+
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+ amira is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
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+ * [garage-bAInd/Platypus2-13B](https://huggingface.co/garage-bAInd/Platypus2-13B)
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+ * [WizardLM/WizardMath-13B-V1.0](https://huggingface.co/WizardLM/WizardMath-13B-V1.0)
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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: psmathur/orca_mini_v3_13b
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+ parameters:
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+ density: [1, 0.7, 0.1] # density gradient
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+ weight: 1.0
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+ - model: garage-bAInd/Platypus2-13B
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+ parameters:
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+ density: 0.5
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+ weight: [0, 0.3, 0.7, 1] # weight gradient
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+ - model: WizardLM/WizardMath-13B-V1.0
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+ parameters:
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+ density: 0.33
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+ weight:
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+ - filter: mlp
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+ value: 0.5
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+ - value: 0
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+ merge_method: ties
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+ base_model: TheBloke/Llama-2-13B-fp16
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+ parameters:
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+ normalize: true
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+ int8_mask: 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": "TheBloke/Llama-2-13B-fp16",
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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": 1,
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+ "eos_token_id": 2,
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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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+ "intermediate_size": 13824,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 40,
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+ "num_key_value_heads": 40,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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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": "float16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+
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+ models:
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+ - model: psmathur/orca_mini_v3_13b
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+ parameters:
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+ density: [1, 0.7, 0.1] # density gradient
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+ weight: 1.0
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+ - model: garage-bAInd/Platypus2-13B
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+ parameters:
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+ density: 0.5
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+ weight: [0, 0.3, 0.7, 1] # weight gradient
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+ - model: WizardLM/WizardMath-13B-V1.0
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+ parameters:
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+ density: 0.33
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+ weight:
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+ - filter: mlp
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+ value: 0.5
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+ - value: 0
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+ merge_method: ties
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+ base_model: TheBloke/Llama-2-13B-fp16
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
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+
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