初始化项目，由ModelHub XC社区提供模型

Model: liminerity/M7-7b
Source: Original Platform

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
+
+```