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EN
Llama 3 DARE V3 8B
L
Llama 3 DARE V3 8B
Developed by rmihaylov
A pre-trained language model created using the DARE TIES merging method, based on Meta-Llama-3-8B and Meta-Llama-3-8B-Instruct models
Downloads 14
Release Time : 4/21/2024
Model Overview
This is an 8B-parameter-scale language model merged using the mergekit tool, combining the strengths of both base and instruction-tuned models, suitable for various natural language processing tasks
Model Features
DARE TIES merging technique
Utilizes advanced DARE TIES model merging method to effectively integrate the strengths of base and instruction-tuned models
Parameter-efficient integration
Achieves optimized combination of model capabilities through precise inter-layer parameter density and weight control
Instruction-following capability
Inherits the instruction understanding and execution capabilities from the Meta-Llama-3-8B-Instruct model
Model Capabilities
Text generation
Dialogue systems
Instruction understanding and execution
Natural language processing
Use Cases
Dialogue systems
Intelligent assistant
Build conversational AI assistants capable of understanding complex instructions
Content generation
Creative writing
Assist in generating creative content such as story writing, poetry composition
đ Llama-3-DARE-v3-8B
This is a merged pre - trained language model created using mergekit, which combines the strengths of multiple models to potentially offer better performance and capabilities.
đ Quick Start
This section does not provide quick - start steps in the original document. If you want to use this model, you can refer to the official documentation of the transformers library and the mergekit tool.
⨠Features
- Model Merge: Utilizes the DARE TIES merge method, which may enhance the model's performance and generalization ability.
- Base Model: Built on [meta - llama/Meta - Llama - 3 - 8B](https://huggingface.co/meta - llama/Meta - Llama - 3 - 8B), leveraging its pre - trained knowledge.
đĻ Installation
The original document does not contain installation steps. You may need to install the transformers library and relevant dependencies according to the official documentation.
đ Documentation
Merge Details
Merge Method
This model was merged using the DARE TIES merge method, with [meta - llama/Meta - Llama - 3 - 8B](https://huggingface.co/meta - llama/Meta - Llama - 3 - 8B) as the base.
Models Merged
The following models were included in the merge:
- [meta - llama/Meta - Llama - 3 - 8B - Instruct](https://huggingface.co/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
đ§ Technical Details
Model Information
| Property | Details |
|---|---|
| Model Type | Merged pre - trained language model |
| Base Model | meta - llama/Meta - Llama - 3 - 8B |
| Merged Model | meta - llama/Meta - Llama - 3 - 8B - Instruct |
| Merge Method | DARE TIES |
| Library Name | transformers |
License Information
- License: other
- License Name: llama3
- License Link: LICENSE
â ī¸ Important Note
This model is subject to the META LLAMA 3 COMMUNITY LICENSE AGREEMENT. Please read the license carefully before using the model.
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