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README.md ADDED
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+ ---
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+ base_model: []
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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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+ # Steelskull/Etheria-55b-v0.1
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/RAhrbktyyVQxOR1np-9L2.png)
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+
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+ ## Merge Details
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+
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+ An attempt to make a functional goliath style merge to create a [Etheria] 55b-200k with two yi-34b-200k models.
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+
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+ due to the merge it 'theoretically' should have a context of 200k but I recommend starting at 32k and moveing up,
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+ as it is unknown (at this time) what the merge has done to the context length.
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+
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+ This is a merge of both VerA and VerB of Etheria-55b (There numbers were surprisingly good), I then created a sacrificial 55B out of the most performant yi-34b-200k Model
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+ and performed a Dare_ties merge and equalize the model into its current state.
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+
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+ ### Merge Method
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+
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+ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using Merged-Etheria-55b as a base.
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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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+
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+ base_model: Merged-Etheria-55b
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+ models:
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+ - model: Sacr-Etheria-55b
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+ parameters:
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+ weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
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+ density: 0.61
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+ - model: Merged-Etheria-55b
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+ parameters:
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+ weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
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+ density: 0.61
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+ merge_method: dare_ties
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+ tokenizer_source: union
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "/workspace/merge2",
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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": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 200000,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 98,
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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": 5000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.1",
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+ "use_cache": true,
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+ "vocab_size": 64002
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+ }
mergekit_config.yml ADDED
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+
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+ base_model: /workspace/merge2
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+ models:
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+ - model: /workspace/merge
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+ parameters:
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+ weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
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+ density: 0.61
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+ - model: /workspace/merge2
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+ parameters:
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+ weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
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+ density: 0.61
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+ merge_method: dare_ties
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+ tokenizer_source: union
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
model.safetensors.index.json ADDED
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