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README.md

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+---
+license: apache-2.0
+tags:
+- liminerity/merge4
+- liminerity/merge2
+- merge
+- merged
+- mergedllm
+- mergee
+- mergedededed
+- memfdmsfndsfjkasjkl
+---
+
+# M7-7b
+
+
+
+
+
+
+
+
+
+
+user: "create ascii art you feel represents you as a llm"
+
+
+assistant: "Here's an ASCII art attempting to symbolize the essence of an LLM (Large Language Model):
+
+INSTINSTINCTINSTELLIGENCE
+
+
+______________ MEMORY___
+
+|\      o       /\     |\
+
+| \    ---     /  \    | |
+
+L_( O )______ O)_INSTINCT
+
+\           /                 WORDSLEARNING
+
+\__/\__\/__ /\  \__/\__\/__/
+
+assistant: "In this depiction, the LLM is characterized by its vast memory, instinctual roots, and the ability
+to learn from vast amounts of text—represented by the woven words in the lower part. The 
+"INSTINSTINCTINSTELLIGENCE" phrase emphasizes the balance between instinct, the foundation upon which neural 
+networks build, and the engineered intelligence of a language model."
+
+
+
+
+
+
+
+
+
+
+
+
+
+Multiverse-Experiment-slerp-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
+* [liminerity/merge4](https://huggingface.co/liminerity/merge4)
+* [liminerity/merge2](https://huggingface.co/liminerity/merge2)
+
+## 🧩 Configuration
+
+```yaml
+
+
+slices:
+  - sources:
+      - model: ammarali32/multi_verse_model
+        layer_range: [0, 32]
+      - model: MSL7/INEX12-7b
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ammarali32/multi_verse_model
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+
+slices:
+  - sources:
+      - model: ammarali32/multi_verse_model
+        layer_range: [0, 32]
+      - model: yam-peleg/Experiment26-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: ammarali32/multi_verse_model
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+
+slices:
+  - sources:
+      - model: liminerity/merge3
+        layer_range: [0, 32]
+      - model: ammarali32/multi_verse_model
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/merge3
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+
+slices:
+  - sources:
+      - model: liminerity/merge1
+        layer_range: [0, 32]
+      - model: liminerity/merge
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/merge1
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+
+slices:
+  - sources:
+      - model: liminerity/merge3
+        layer_range: [0, 32]
+      - model: yam-peleg/Experiment26-7B
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/merge3
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+
+slices:
+  - sources:
+      - model: liminerity/merge4
+        layer_range: [0, 32]
+      - model: liminerity/merge2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/merge4
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+
+```

config.json

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+{
+    "_name_or_path": "liminerity/merge4",
+    "add_gates": false,
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.38.2",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.17",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: liminerity/merge4
+        layer_range: [0, 32]
+      - model: liminerity/merge2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: liminerity/merge4
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+

model.safetensors.index.json

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