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:

🧩 Configuration



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