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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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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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+ - Warit2/GemOmniscien
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+ - google/gemma-2b-it
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+ ---
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+
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+ # GemOmniscien-ties
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+
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+ GemOmniscien-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [Warit2/GemOmniscien](https://huggingface.co/Warit2/GemOmniscien)
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+ * [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it)
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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: Warit2/GemOmniscien
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+ - model: google/gemma-2b-it
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+ parameters:
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+ density: 0.5
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+ weight: 0.5 # weight gradient
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+ merge_method: ties
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+ base_model: Warit2/GemOmniscien
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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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+
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+
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+ # models:
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+ # - model: unsloth/gemma-7b-bnb-4bit
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+ # layer_range: [0, 32]
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+ # # no parameters necessary for base model
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+ # - model: mistralai/Mistral-7B-v0.1
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+ # layer_range: [24, 32]
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+ # merge_method: passthrough
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+ # # base_model: unsloth/gemma-7b-bnb-4bit
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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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+ # slices:
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+ # - sources:
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+ # - model: unsloth/gemma-2b-bnb-4bit
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+ # layer_range: [0, 16]
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+ # - sources:
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+ # - model: NousResearch/Nous-Hermes-llama-2-7b
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+ # layer_range: [0, 22]
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+ # merge_method: passthrough
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+ # dtype: bfloat16
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+ # models:
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+ # - model: unsloth/gemma-2b-bnb-4bit
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+ # parameters:
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+ # density: 0.53
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+ # weight: 0.45
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+ # - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ # parameters:
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+ # weight: 0.5
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+ # merge_method: ties
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+ # base_model: unsloth/gemma-2b-bnb-4bit
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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": "Warit2/GemOmniscien",
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+ "architectures": [
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+ "GemmaForCausalLM"
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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": 2,
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+ "eos_token_id": 1,
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+ "head_dim": 256,
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+ "hidden_act": "gelu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 16384,
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+ "max_position_embeddings": 8192,
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+ "model_type": "gemma",
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+ "num_attention_heads": 8,
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+ "num_hidden_layers": 18,
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+ "num_key_value_heads": 1,
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+ "pad_token_id": 0,
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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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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.2",
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+ "unsloth_version": "2024.3",
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
mergekit_config.yml ADDED
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+
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+ models:
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+ - model: Warit2/GemOmniscien
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+ parameters:
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+ density: 0.5
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+ weight: 0.5
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+ - model: google/gemma-2b-it
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+ parameters:
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+ density: 0.5
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+ weight: 0.5 # weight gradient
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+ merge_method: ties
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+ base_model: Warit2/GemOmniscien
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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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+
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+
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+ # models:
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+ # - model: unsloth/gemma-7b-bnb-4bit
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+ # layer_range: [0, 32]
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+ # # no parameters necessary for base model
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+ # - model: mistralai/Mistral-7B-v0.1
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+ # layer_range: [24, 32]
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+ # merge_method: passthrough
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+ # # base_model: unsloth/gemma-7b-bnb-4bit
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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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+ # slices:
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+ # - sources:
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+ # - model: unsloth/gemma-2b-bnb-4bit
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+ # layer_range: [0, 16]
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+ # - sources:
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+ # - model: NousResearch/Nous-Hermes-llama-2-7b
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+ # layer_range: [0, 22]
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+ # merge_method: passthrough
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+ # dtype: bfloat16
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+ # models:
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+ # - model: unsloth/gemma-2b-bnb-4bit
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+ # parameters:
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+ # density: 0.53
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+ # weight: 0.45
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+ # - model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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+ # parameters:
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+ # weight: 0.5
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+ # merge_method: ties
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+ # base_model: unsloth/gemma-2b-bnb-4bit
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+ # parameters:
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+ # int8_mask: true
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+ # dtype: bfloat16
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