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README.md CHANGED
@@ -1,5 +1,46 @@
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  ---
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- license: other
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- license_name: miqu
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- license_link: LICENSE
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: []
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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-output
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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 SLERP merge method.
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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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+ * D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
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+ * D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
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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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+ slices:
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+ - sources:
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+ - model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
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+ layer_range: [0, 80]
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+ - model: D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
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+ layer_range: [0, 80]
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+ merge_method: slerp
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+ base_model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
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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 # fallback for rest of tensors
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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": "D:\\\\ai\\\\merges\\\\transformers\\\\models\\\\senku\\\\Senku-70B-Full",
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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": 8192,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 28672,
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+ "max_position_embeddings": 32764,
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+ "model_type": "llama",
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+ "num_attention_heads": 64,
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+ "num_hidden_layers": 80,
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+ "num_key_value_heads": 8,
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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": 1000000,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.36.1",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ slices:
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+ - sources:
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+ - model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
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+ layer_range: [0, 80]
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+ - model: D:\\ai\\merges\\transformers\\models\\miquhermes\\miqu-openhermes-full
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+ layer_range: [0, 80]
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+ merge_method: slerp
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+ base_model: D:\\ai\\merges\\transformers\\models\\senku\\Senku-70B-Full
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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 # fallback for rest of tensors
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+ dtype: float16
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