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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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+ - FelixChao/WestSeverus-7B-DPO-v2
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+ - macadeliccc/WestLake-7B-v2-laser-truthy-dpo
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+ ---
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+
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+ # blockchainlabs_test3_seminar
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+
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+ blockchainlabs_test3_seminar is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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+ * [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
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+ * [macadeliccc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7B-v2-laser-truthy-dpo)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: FelixChao/WestSeverus-7B-DPO-v2
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+ layer_range: [0, 32]
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+ - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: FelixChao/WestSeverus-7B-DPO-v2
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: #bfloat16 #bfloat16이 float16보다 학습할때 더 빠릅니다.
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "FelixChao/WestSeverus-7B-DPO-v2",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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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": 4096,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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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": "float16",
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+ "transformers_version": "4.35.2",
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+ "unsloth_version": "2024.1",
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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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+ slices:
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+ - sources:
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+ - model: FelixChao/WestSeverus-7B-DPO-v2
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+ layer_range: [0, 32]
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+ - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
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+ layer_range: [0, 32]
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+ merge_method: slerp
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+ base_model: FelixChao/WestSeverus-7B-DPO-v2
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0, 0.5, 0.3, 0.7, 1]
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+ - filter: mlp
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+ value: [1, 0.5, 0.7, 0.3, 0]
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+ - value: 0.5
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+ dtype: #bfloat16 #bfloat16이 float16보다 학습할때 더 빠릅니다.
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+
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