meta-llama/Meta-Llama-3-8B
meta-llama/Meta-Llama-3-8B-Instruct library_name: transformers tags:
mergekit
merge license: other license_name: llama3 license_link: LICENSE extra_gated_prompt: >-
META LLAMA 3 COMMUNITY LICENSE AGREEMENT

Llama-3-DARE-v3-8B

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using meta-llama/Meta-Llama-3-8B as a base.

Models Merged

The following models were included in the merge:

meta-llama/Meta-Llama-3-8B-Instruct

Configuration

The following YAML configuration was used to produce this model:

yaml

base_model:
  model:
    path: meta-llama/Meta-Llama-3-8B
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: meta-llama/Meta-Llama-3-8B-Instruct
    parameters:
      density:
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        value: 0.12392239047187575
      - filter: model.norm
        value: 0.9321540995757155
      - filter: lm_head
        value: 0.9321540995757155
      - filter: layers.0.
        value: 0.9790541113047215
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        value: 0.5837293662960215
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        value: 0.9412235995535374
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        value: 0.31233149627589435
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        value: 0.8429344053665633
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        value: 0.6736586892578483
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        value: 0.24511379602231775
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        value: 0.9579106307398759
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        value: 0.763438755789315
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        value: 0.9682444116383796
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        value: 0.08453321074167956
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        value: 0.7964240843030714
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        value: 0.33878902628372387
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        value: 0.8458690962458848
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        value: 0.1052429440590172
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        value: 0.7623565162481113
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        value: 0.9707532532287503
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      - filter: layers.30.
        value: 0.19116844757457122
      - filter: layers.31.
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      weight:
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      - filter: lm_head
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      - filter: layers.0.
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        value: 0.9376890733815005
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        value: 0.9551398977410172
      - filter: layers.11.
        value: 0.9967262117722387
      - filter: layers.12.
        value: 0.7701592243202565
      - filter: layers.13.
        value: 0.6842573291853765
      - filter: layers.14.
        value: 0.798376050387875
      - filter: layers.15.
        value: 0.801001533828631
      - filter: layers.16.
        value: 0.14199137490635572
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        value: 0.7587521819162459
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        value: 0.9769968221517621
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        value: 0.5936888514834866
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      - filter: layers.28.
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      - filter: layers.29.
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      - filter: layers.30.
        value: 0.04929564345988049
      - filter: layers.31.
        value: 0.922707420329624
  - layer_range: [0, 32]
    model:
      model:
        path: meta-llama/Meta-Llama-3-8B
    parameters:
      density:
      - filter: embed_token
        value: 0.1479082895745973
      - filter: model.norm
        value: 0.18334257522610492
      - filter: lm_head
        value: 0.18334257522610492
      - filter: layers.0.
        value: 0.17476905394590242
      - filter: layers.1.
        value: 0.11161623400742576
      - filter: layers.2.
        value: 0.16109344344908105
      - filter: layers.3.
        value: 0.2735834275693588
      - filter: layers.4.
        value: 0.8258891898417566
      - filter: layers.5.
        value: 0.21085556872053604
      - filter: layers.6.
        value: 0.20766543320815006
      - filter: layers.7.
        value: 0.8947694253855037
      - filter: layers.8.
        value: 0.734275334571558
      - filter: layers.9.
        value: 0.1632311874735626
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        value: 0.940700711783812
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        value: 0.07148774488326176
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        value: 0.07541557340487534
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        value: 0.9612379711004643
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        value: 0.19588339382290734
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        value: 0.152313213824124
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        value: 0.8120646024357844
      - filter: layers.26.
        value: 0.6661112930033101
      - filter: layers.27.
        value: 0.7782416079783356
      - filter: layers.28.
        value: 0.24425477536875875
      - filter: layers.29.
        value: 0.05962906198631645
      - filter: layers.30.
        value: 0.023125010859717736
      - filter: layers.31.
        value: 0.9109899850283665
      weight:
      - filter: embed_token
        value: 0.12126630242759481
      - filter: model.norm.
        value: 0.07734624352533248
      - filter: lm_head
        value: 0.07734624352533248
      - filter: layers.0.
        value: 0.16823028525905875
      - filter: layers.1.
        value: 0.9417449451303712
      - filter: layers.2.
        value: 0.7717519522673566
      - filter: layers.3.
        value: 0.7601040526349441
      - filter: layers.4.
        value: 0.0019090753772779204
      - filter: layers.5.
        value: 0.16032547702469566
      - filter: layers.6.
        value: 0.12224994873335546
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        value: 0.27695385066177564
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        value: 0.018799614691291815
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      - filter: layers.11.
        value: 0.756537797885991
      - filter: layers.12.
        value: 0.8051453838823787
      - filter: layers.13.
        value: 0.8879631547059472
      - filter: layers.14.
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      - filter: layers.15.
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      - filter: layers.16.
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      - filter: layers.30.
        value: 0.747420490316978
      - filter: layers.31.
        value: 0.06383831695667043

RichardErkhov/rmihaylov_-_Llama-3-DARE-v3-8B-8bits

Original model description:

META LLAMA 3 COMMUNITY LICENSE AGREEMENT

Llama-3-DARE-v3-8B

Merge Details

Merge Method

Models Merged

Configuration

RichardErkhov/
rmihaylov_-_Llama-3-DARE-v3-8B-8bits