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README.md CHANGED
@@ -1,3 +1,54 @@
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - liminerity/Phigments12
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+ - netcat420/MFANN3bv0.9
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+ - netcat420/MFANN3bv0.6
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+ - netcat420/MFANN3bv0.8.10
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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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+ # MFANN3bv0.9.10
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [liminerity/Phigments12](https://huggingface.co/liminerity/Phigments12) 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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+ * [netcat420/MFANN3bv0.9](https://huggingface.co/netcat420/MFANN3bv0.9)
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+ * [netcat420/MFANN3bv0.6](https://huggingface.co/netcat420/MFANN3bv0.6)
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+ * [netcat420/MFANN3bv0.8.10](https://huggingface.co/netcat420/MFANN3bv0.8.10)
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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: netcat420/MFANN3bv0.6
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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: netcat420/MFANN3bv0.9
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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: netcat420/MFANN3bv0.8.10
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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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+ merge_method: ties
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+ base_model: liminerity/Phigments12
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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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+ ```
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config.json ADDED
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+ {
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+ "_name_or_path": "liminerity/Phigments12",
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+ "architectures": [
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+ "PhiForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 50256,
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+ "embd_pdrop": 0.0,
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+ "eos_token_id": 50256,
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+ "hidden_act": "gelu_new",
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+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 10240,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "model_type": "phi",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "partial_rotary_factor": 0.4,
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+ "qk_layernorm": false,
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+ "resid_pdrop": 0.1,
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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": "4.40.2",
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+ "use_cache": true,
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+ "vocab_size": 51200
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+ }
mergekit_config.yml ADDED
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+ models:
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+ - model: netcat420/MFANN3bv0.6
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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: netcat420/MFANN3bv0.9
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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: netcat420/MFANN3bv0.8.10
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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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+ merge_method: ties
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+ base_model: liminerity/Phigments12
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+ parameters:
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+ normalize: true
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+ int8_mask: true
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+ dtype: float16
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
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