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README.md

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+---
+base_model: []
+tags:
+- mergekit
+- merge
+
+---
+# Steelskull/Etheria-55b-v0.1
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/RAhrbktyyVQxOR1np-9L2.png)
+
+## Merge Details
+
+An attempt to make a functional goliath style merge to create a [Etheria] 55b-200k with two yi-34b-200k models.
+
+due to the merge it 'theoretically' should have a context of 200k but I recommend starting at 32k and moveing up,
+as it is unknown (at this time) what the merge has done to the context length.
+
+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
+and performed a Dare_ties merge and equalize the model into its current state.
+
+### Merge Method
+
+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.
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+base_model: Merged-Etheria-55b
+models:
+  - model: Sacr-Etheria-55b
+    parameters:
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+      density: 0.61
+  - model: Merged-Etheria-55b
+    parameters:
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+      density: 0.61
+merge_method: dare_ties
+tokenizer_source: union
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "/workspace/merge2",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 7168,
+  "initializer_range": 0.02,
+  "intermediate_size": 20480,
+  "max_position_embeddings": 200000,
+  "model_type": "llama",
+  "num_attention_heads": 56,
+  "num_hidden_layers": 98,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 5000000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.1",
+  "use_cache": true,
+  "vocab_size": 64002
+}

mergekit_config.yml

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+
+base_model: /workspace/merge2
+models:
+  - model: /workspace/merge
+    parameters:
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+      density: 0.61
+  - model: /workspace/merge2
+    parameters:
+      weight: [0.22, 0.113, 0.113, 0.113, 0.113, 0.113]
+      density: 0.61
+merge_method: dare_ties
+tokenizer_source: union
+parameters:
+  int8_mask: true
+dtype: bfloat16

model.safetensors.index.json

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