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M7-7b

liminerity / M7-7b

Run on huggingface.co
huggingface.co
Total runs: 8.6K
24-hour runs: 0
7-day runs: 161
30-day runs: 400
Model's Last Updated: March 21 2024
text-generation

Introduction of M7-7b

Model Details of M7-7b

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

Runs of liminerity M7-7b on huggingface.co

8.6K
Total runs
0
24-hour runs
0
3-day runs
161
7-day runs
400
30-day runs

More Information About M7-7b huggingface.co Model

More M7-7b license Visit here:

https://choosealicense.com/licenses/apache-2.0

M7-7b huggingface.co

M7-7b huggingface.co is an AI model on huggingface.co that provides M7-7b's model effect (), which can be used instantly with this liminerity M7-7b model. huggingface.co supports a free trial of the M7-7b model, and also provides paid use of the M7-7b. Support call M7-7b model through api, including Node.js, Python, http.

M7-7b huggingface.co Url

https://huggingface.co/liminerity/M7-7b

liminerity M7-7b online free

M7-7b huggingface.co is an online trial and call api platform, which integrates M7-7b's modeling effects, including api services, and provides a free online trial of M7-7b, you can try M7-7b online for free by clicking the link below.

liminerity M7-7b online free url in huggingface.co:

https://huggingface.co/liminerity/M7-7b

M7-7b install

M7-7b is an open source model from GitHub that offers a free installation service, and any user can find M7-7b on GitHub to install. At the same time, huggingface.co provides the effect of M7-7b install, users can directly use M7-7b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

M7-7b install url in huggingface.co:

https://huggingface.co/liminerity/M7-7b

Url of M7-7b

Provider of M7-7b huggingface.co

liminerity
ORGANIZATIONS
huggingface.co

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