Llama-3-DARE-v3-8B

rmihaylov/Llama-3-DARE-v3-8B

Llama-3-DARE-v3-8B is a text generation model from rmihaylov. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.

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

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At a glance

Task: Text Generation
Library: transformers
License: other
Model type: llama
Access: Public
Created: Apr 21, 2024
Updated: Apr 21, 2024
SHA: 71f0fa65

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Base models

Model card

From the Hugging Face model README

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:

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:
      - filter: embed_token
        value: 0.12392239047187575
      - filter: model.norm
        value: 0.9321540995757155
      - filter: lm_head
        value: 0.9321540995757155
      - filter: layers.0.
        value: 0.9790541113047215
      - filter: layers.1.
        value: 0.5837293662960215
      - filter: layers.2.
        value: 0.9412235995535374
      - filter: layers.3.
        value: 0.31233149627589435
      - filter: layers.4.
        value: 0.8429344053665633
      - filter: layers.5.
        value: 0.6736586892578483
      - filter: layers.6.
        value: 0.24511379602231775
      - filter: layers.7.
        value: 0.9579106307398759
      - filter: layers.8.
        value: 0.763438755789315
      - filter: layers.9.
        value: 0.9682444116383796
      - filter: layers.10.
        value: 0.08453321074167956
      - filter: layers.11.
        value: 0.7964240843030714
      - filter: layers.12.
        value: 0.33878902628372387
      - filter: layers.13.
        value: 0.8458690962458848
      - filter: layers.14.
        value: 0.1052429440590172
      - filter: layers.15.
        value: 0.7623565162481113
      - filter: layers.16.
        value: 0.9707532532287503
      - filter: layers.17.
        value: 0.12523916859700104
      - filter: layers.18.
        value: 0.8415224301240337
      - filter: layers.19.
        value: 0.12872802862625543
      - filter: layers.20.
        value: 0.5529482316673654
      - filter: layers.21.
        value: 0.09282157218446654
      - filter: layers.22.
        value: 0.8370536041906024
      - filter: layers.23.
        value: 0.9175102292532279
      - filter: layers.24.
        value: 0.8983418171724273
      - filter: layers.25.
        value: 0.8136717935920286
      - filter: layers.26.
        value: 0.05054222298359671
      - filter: layers.27.
        value: 0.869544796603939
      - filter: layers.28.
        value: 0.04716191274361657
      - filter: layers.29.
        value: 0.13032011470396976
      - filter: layers.30.
        value: 0.19116844757457122
      - filter: layers.31.
        value: 0.1455500526734667
      weight:
      - filter: embed_token
        value: 0.12232308541622408
      - filter: model.norm.
        value: 0.7266901175725669
      - filter: lm_head
        value: 0.7266901175725669
      - filter: layers.0.
        value: 0.8207345096435786
      - filter: layers.1.
        value: 0.9504884225844141
      - filter: layers.2.
        value: 0.7328920145925348
      - filter: layers.3.
        value: 0.6736895869883676
      - filter: layers.4.
        value: 0.7970121175937948
      - filter: layers.5.
        value: 0.9789312914172503
      - filter: layers.6.
        value: 0.962551880054289
      - filter: layers.7.
        value: 0.9561739657469092
      - filter: layers.8.
        value: 0.8536201095014567
      - filter: layers.9.
        value: 0.9376890733815005
      - filter: layers.10.
        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
      - filter: layers.17.
        value: 0.7587521819162459
      - filter: layers.18.
        value: 0.9769968221517621
      - filter: layers.19.
        value: 0.5936888514834866
      - filter: layers.20.
        value: 0.979481555973458
      - filter: layers.21.
        value: 0.1362420472755318
      - filter: layers.22.
        value: 0.1451804836602873
      - filter: layers.23.
        value: 0.9319964347718136
      - filter: layers.24.
        value: 0.8814265997262563
      - filter: layers.25.
        value: 0.870638468633288
      - filter: layers.26.
        value: 0.06311119172889679
      - filter: layers.27.
        value: 0.902932718098389
      - filter: layers.28.
        value: 0.9174145551871369
      - filter: layers.29.
        value: 0.9048467992426628
      - 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
      - filter: layers.10.
        value: 0.940700711783812
      - filter: layers.11.
        value: 0.07148774488326176
      - filter: layers.12.
        value: 0.07541557340487534
      - filter: layers.13.
        value: 0.13833770311269455
      - filter: layers.14.
        value: 0.9612379711004643
      - filter: layers.15.
        value: 0.8090075125599039
      - filter: layers.16.
        value: 0.7255233959581611
      - filter: layers.17.
        value: 0.2634507144990253
      - filter: layers.18.
        value: 0.07135903934561608
      - filter: layers.19.
        value: 0.1180822729914722
      - filter: layers.20.
        value: 0.07751975543731829
      - filter: layers.21.
        value: 0.9990557487897024
      - filter: layers.22.
        value: 0.17045615586066107
      - filter: layers.23.
        value: 0.19588339382290734
      - filter: layers.24.
        value: 0.152313213824124
      - filter: layers.25.
        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
      - filter: layers.7.
        value: 0.27695385066177564
      - filter: layers.8.
        value: 0.018799614691291815
      - filter: layers.9.
        value: 0.9759168818301882
      - filter: layers.10.
        value: 0.006525097827571269
      - filter: layers.11.
        value: 0.756537797885991
      - filter: layers.12.
        value: 0.8051453838823787
      - filter: layers.13.
        value: 0.8879631547059472
      - filter: layers.14.
        value: 0.713799746085261
      - filter: layers.15.
        value: 0.03862352880564701
      - filter: layers.16.
        value: 0.1837448681603537
      - filter: layers.17.
        value: 0.30267576939315943
      - filter: layers.18.
        value: 0.17332405807285195
      - filter: layers.19.
        value: 0.11686420946772721
      - filter: layers.20.
        value: 0.2826021601318976
      - filter: layers.21.
        value: 0.14782621450845335
      - filter: layers.22.
        value: 0.8764989337980243
      - filter: layers.23.
        value: 0.5836574402524565
      - filter: layers.24.
        value: 0.8579541606567384
      - filter: layers.25.
        value: 0.2310998812434597
      - filter: layers.26.
        value: 0.13443251834995432
      - filter: layers.27.
        value: 0.9754382468614297
      - filter: layers.28.
        value: 0.9406099007353652
      - filter: layers.29.
        value: 0.10203532427654999
      - filter: layers.30.
        value: 0.747420490316978
      - filter: layers.31.
        value: 0.06383831695667043

Task: Text Generation
Library: transformers
Type: llama
License: other
Featherless Ai: live
Created: Apr 21, 2024
Updated: Apr 21, 2024