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