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Cluj-Napoca-0.2

Mihaiii / Cluj-Napoca-0.2

Run on huggingface.co
huggingface.co
Total runs: 64
24-hour runs: 1
7-day runs: 4
30-day runs: 2
Model's Last Updated: February 28 2024
text-generation

Introduction of Cluj-Napoca-0.2

Model Details of Cluj-Napoca-0.2

The Cluj-Napoca series is mostly an experiment.

Details:

image/png

Steps to replicate:

Use laserQlora.ipynb from cognitivecomputations/laserRMT to determine which layers should be eliminated.

Adapt the script for Mihaiii/Pallas-0.5 by replacing model_name = "mistralai/Mistral-7B-v0.1" with model_name = "Mihaiii/Pallas-0.5" and layer_numbers = list(range(31, -1, -1)) with layer_numbers = list(range(59, -1, -1)) , 59 being the last recurrent layer index Pallas-0.5 has .

Click to see the result you'll receive

Calculating Signal to Noise Ratio at layer model.layers.0.self_attn.k_proj Signal to Noise Ratio at layer model.layers.0.self_attn.k_proj = 0.34616405651386795

Calculating Signal to Noise Ratio at layer model.layers.0.self_attn.v_proj Signal to Noise Ratio at layer model.layers.0.self_attn.v_proj = 15.35865625718883

Calculating Signal to Noise Ratio at layer model.layers.1.self_attn.k_proj

Signal to Noise Ratio at layer model.layers.1.self_attn.k_proj = 0.7206548634038767

Calculating Signal to Noise Ratio at layer model.layers.1.self_attn.v_proj Signal to Noise Ratio at layer model.layers.1.self_attn.v_proj = 3.2591477935986704

Calculating Signal to Noise Ratio at layer model.layers.2.self_attn.k_proj Signal to Noise Ratio at layer model.layers.2.self_attn.k_proj = 0.5311484408046

Calculating Signal to Noise Ratio at layer model.layers.2.self_attn.v_proj Signal to Noise Ratio at layer model.layers.2.self_attn.v_proj = 5.109442630946979

Calculating Signal to Noise Ratio at layer model.layers.3.self_attn.k_proj Signal to Noise Ratio at layer model.layers.3.self_attn.k_proj = 0.4341506575442939

Calculating Signal to Noise Ratio at layer model.layers.3.self_attn.v_proj Signal to Noise Ratio at layer model.layers.3.self_attn.v_proj = 7.519101868970723

Calculating Signal to Noise Ratio at layer model.layers.4.self_attn.k_proj Signal to Noise Ratio at layer model.layers.4.self_attn.k_proj = 0.43156326950369167

Calculating Signal to Noise Ratio at layer model.layers.4.self_attn.v_proj Signal to Noise Ratio at layer model.layers.4.self_attn.v_proj = 3.3721301592636337

Calculating Signal to Noise Ratio at layer model.layers.5.self_attn.k_proj Signal to Noise Ratio at layer model.layers.5.self_attn.k_proj = 0.4146416750704863

Calculating Signal to Noise Ratio at layer model.layers.5.self_attn.v_proj Signal to Noise Ratio at layer model.layers.5.self_attn.v_proj = 17.88975706822606

Calculating Signal to Noise Ratio at layer model.layers.6.self_attn.k_proj Signal to Noise Ratio at layer model.layers.6.self_attn.k_proj = 0.4311999332093549

Calculating Signal to Noise Ratio at layer model.layers.6.self_attn.v_proj Signal to Noise Ratio at layer model.layers.6.self_attn.v_proj = 32.20151585537659

Calculating Signal to Noise Ratio at layer model.layers.7.self_attn.k_proj Signal to Noise Ratio at layer model.layers.7.self_attn.k_proj = 0.4152094643425305

Calculating Signal to Noise Ratio at layer model.layers.7.self_attn.v_proj Signal to Noise Ratio at layer model.layers.7.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.8.self_attn.k_proj Signal to Noise Ratio at layer model.layers.8.self_attn.k_proj = 0.3623575163597641

Calculating Signal to Noise Ratio at layer model.layers.8.self_attn.v_proj Signal to Noise Ratio at layer model.layers.8.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.9.self_attn.k_proj Signal to Noise Ratio at layer model.layers.9.self_attn.k_proj = 0.44609016848062005

Calculating Signal to Noise Ratio at layer model.layers.9.self_attn.v_proj Signal to Noise Ratio at layer model.layers.9.self_attn.v_proj = 1230.8526493095455

Calculating Signal to Noise Ratio at layer model.layers.10.self_attn.k_proj Signal to Noise Ratio at layer model.layers.10.self_attn.k_proj = 0.5036779136885361

Calculating Signal to Noise Ratio at layer model.layers.10.self_attn.v_proj Signal to Noise Ratio at layer model.layers.10.self_attn.v_proj = 1225.9565161503585

Calculating Signal to Noise Ratio at layer model.layers.11.self_attn.k_proj Signal to Noise Ratio at layer model.layers.11.self_attn.k_proj = 0.8464746929570776

Calculating Signal to Noise Ratio at layer model.layers.11.self_attn.v_proj Signal to Noise Ratio at layer model.layers.11.self_attn.v_proj = 249.73542526059745

Calculating Signal to Noise Ratio at layer model.layers.12.self_attn.k_proj Signal to Noise Ratio at layer model.layers.12.self_attn.k_proj = 0.7472833813081716

Calculating Signal to Noise Ratio at layer model.layers.12.self_attn.v_proj Signal to Noise Ratio at layer model.layers.12.self_attn.v_proj = 1475.741913325959

Calculating Signal to Noise Ratio at layer model.layers.13.self_attn.k_proj Signal to Noise Ratio at layer model.layers.13.self_attn.k_proj = 0.6900561437886662

Calculating Signal to Noise Ratio at layer model.layers.13.self_attn.v_proj Signal to Noise Ratio at layer model.layers.13.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.14.self_attn.k_proj Signal to Noise Ratio at layer model.layers.14.self_attn.k_proj = 0.879488259102746

Calculating Signal to Noise Ratio at layer model.layers.14.self_attn.v_proj Signal to Noise Ratio at layer model.layers.14.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.15.self_attn.k_proj Signal to Noise Ratio at layer model.layers.15.self_attn.k_proj = 0.8212827221029891

Calculating Signal to Noise Ratio at layer model.layers.15.self_attn.v_proj Signal to Noise Ratio at layer model.layers.15.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.16.self_attn.k_proj Signal to Noise Ratio at layer model.layers.16.self_attn.k_proj = 0.939714841037408

Calculating Signal to Noise Ratio at layer model.layers.16.self_attn.v_proj Signal to Noise Ratio at layer model.layers.16.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.17.self_attn.k_proj Signal to Noise Ratio at layer model.layers.17.self_attn.k_proj = 1.1122911986074888

Calculating Signal to Noise Ratio at layer model.layers.17.self_attn.v_proj Signal to Noise Ratio at layer model.layers.17.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.18.self_attn.k_proj Signal to Noise Ratio at layer model.layers.18.self_attn.k_proj = 0.9121383292266945

Calculating Signal to Noise Ratio at layer model.layers.18.self_attn.v_proj Signal to Noise Ratio at layer model.layers.18.self_attn.v_proj = 788.8261618785485

Calculating Signal to Noise Ratio at layer model.layers.19.self_attn.k_proj Signal to Noise Ratio at layer model.layers.19.self_attn.k_proj = 0.9715624891930363

Calculating Signal to Noise Ratio at layer model.layers.19.self_attn.v_proj Signal to Noise Ratio at layer model.layers.19.self_attn.v_proj = 565.6062067127933

Calculating Signal to Noise Ratio at layer model.layers.20.self_attn.k_proj Signal to Noise Ratio at layer model.layers.20.self_attn.k_proj = 0.9658735932092948

Calculating Signal to Noise Ratio at layer model.layers.20.self_attn.v_proj Signal to Noise Ratio at layer model.layers.20.self_attn.v_proj = 173.68213657649758

Calculating Signal to Noise Ratio at layer model.layers.21.self_attn.k_proj Signal to Noise Ratio at layer model.layers.21.self_attn.k_proj = 1.0208128327398873

Calculating Signal to Noise Ratio at layer model.layers.21.self_attn.v_proj Signal to Noise Ratio at layer model.layers.21.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.22.self_attn.k_proj Signal to Noise Ratio at layer model.layers.22.self_attn.k_proj = 0.8767115421156565

Calculating Signal to Noise Ratio at layer model.layers.22.self_attn.v_proj Signal to Noise Ratio at layer model.layers.22.self_attn.v_proj = 1690.9373147427925

Calculating Signal to Noise Ratio at layer model.layers.23.self_attn.k_proj Signal to Noise Ratio at layer model.layers.23.self_attn.k_proj = 0.9917777373667964

Calculating Signal to Noise Ratio at layer model.layers.23.self_attn.v_proj Signal to Noise Ratio at layer model.layers.23.self_attn.v_proj = 1506.6032364420512

Calculating Signal to Noise Ratio at layer model.layers.24.self_attn.k_proj Signal to Noise Ratio at layer model.layers.24.self_attn.k_proj = 1.0207218414788868

Calculating Signal to Noise Ratio at layer model.layers.24.self_attn.v_proj Signal to Noise Ratio at layer model.layers.24.self_attn.v_proj = 146.62625418833036

Calculating Signal to Noise Ratio at layer model.layers.25.self_attn.k_proj Signal to Noise Ratio at layer model.layers.25.self_attn.k_proj = 0.9707599015919387

Calculating Signal to Noise Ratio at layer model.layers.25.self_attn.v_proj Signal to Noise Ratio at layer model.layers.25.self_attn.v_proj = 257.9292799096513

Calculating Signal to Noise Ratio at layer model.layers.26.self_attn.k_proj Signal to Noise Ratio at layer model.layers.26.self_attn.k_proj = 0.8617543423891454

Calculating Signal to Noise Ratio at layer model.layers.26.self_attn.v_proj Signal to Noise Ratio at layer model.layers.26.self_attn.v_proj = 34.81369296505358

Calculating Signal to Noise Ratio at layer model.layers.27.self_attn.k_proj Signal to Noise Ratio at layer model.layers.27.self_attn.k_proj = 0.8801045544411704

Calculating Signal to Noise Ratio at layer model.layers.27.self_attn.v_proj Signal to Noise Ratio at layer model.layers.27.self_attn.v_proj = 10.606090192242721

Calculating Signal to Noise Ratio at layer model.layers.28.self_attn.k_proj Signal to Noise Ratio at layer model.layers.28.self_attn.k_proj = 0.7758175782347406

Calculating Signal to Noise Ratio at layer model.layers.28.self_attn.v_proj Signal to Noise Ratio at layer model.layers.28.self_attn.v_proj = 15.045700293750533

Calculating Signal to Noise Ratio at layer model.layers.29.self_attn.k_proj Signal to Noise Ratio at layer model.layers.29.self_attn.k_proj = 0.6950855099687395

Calculating Signal to Noise Ratio at layer model.layers.29.self_attn.v_proj Signal to Noise Ratio at layer model.layers.29.self_attn.v_proj = 8.911400115023547

Calculating Signal to Noise Ratio at layer model.layers.30.self_attn.k_proj Signal to Noise Ratio at layer model.layers.30.self_attn.k_proj = 0.8502166964551224

Calculating Signal to Noise Ratio at layer model.layers.30.self_attn.v_proj Signal to Noise Ratio at layer model.layers.30.self_attn.v_proj = 39.16454811852842

Calculating Signal to Noise Ratio at layer model.layers.31.self_attn.k_proj Signal to Noise Ratio at layer model.layers.31.self_attn.k_proj = 0.8114261748000102

Calculating Signal to Noise Ratio at layer model.layers.31.self_attn.v_proj Signal to Noise Ratio at layer model.layers.31.self_attn.v_proj = 15.232121720528768

Calculating Signal to Noise Ratio at layer model.layers.32.self_attn.k_proj Signal to Noise Ratio at layer model.layers.32.self_attn.k_proj = 0.8171534747659152

Calculating Signal to Noise Ratio at layer model.layers.32.self_attn.v_proj Signal to Noise Ratio at layer model.layers.32.self_attn.v_proj = 44.24568579763897

Calculating Signal to Noise Ratio at layer model.layers.33.self_attn.k_proj Signal to Noise Ratio at layer model.layers.33.self_attn.k_proj = 1.0559033041558032

Calculating Signal to Noise Ratio at layer model.layers.33.self_attn.v_proj Signal to Noise Ratio at layer model.layers.33.self_attn.v_proj = 44.04153996123169

Calculating Signal to Noise Ratio at layer model.layers.34.self_attn.k_proj Signal to Noise Ratio at layer model.layers.34.self_attn.k_proj = 0.8710953229091645

Calculating Signal to Noise Ratio at layer model.layers.34.self_attn.v_proj Signal to Noise Ratio at layer model.layers.34.self_attn.v_proj = 68.64244557504348

Calculating Signal to Noise Ratio at layer model.layers.35.self_attn.k_proj Signal to Noise Ratio at layer model.layers.35.self_attn.k_proj = 0.9532579825557792

Calculating Signal to Noise Ratio at layer model.layers.35.self_attn.v_proj Signal to Noise Ratio at layer model.layers.35.self_attn.v_proj = 77.22896365544904

Calculating Signal to Noise Ratio at layer model.layers.36.self_attn.k_proj Signal to Noise Ratio at layer model.layers.36.self_attn.k_proj = 0.7857943800481151

Calculating Signal to Noise Ratio at layer model.layers.36.self_attn.v_proj Signal to Noise Ratio at layer model.layers.36.self_attn.v_proj = 41.764676631172684

Calculating Signal to Noise Ratio at layer model.layers.37.self_attn.k_proj Signal to Noise Ratio at layer model.layers.37.self_attn.k_proj = 0.9566414094295352

Calculating Signal to Noise Ratio at layer model.layers.37.self_attn.v_proj Signal to Noise Ratio at layer model.layers.37.self_attn.v_proj = 197.90757310006273

Calculating Signal to Noise Ratio at layer model.layers.38.self_attn.k_proj Signal to Noise Ratio at layer model.layers.38.self_attn.k_proj = 0.8376618883945027

Calculating Signal to Noise Ratio at layer model.layers.38.self_attn.v_proj Signal to Noise Ratio at layer model.layers.38.self_attn.v_proj = 29.87200982970284

Calculating Signal to Noise Ratio at layer model.layers.39.self_attn.k_proj Signal to Noise Ratio at layer model.layers.39.self_attn.k_proj = 1.1301710981992348

Calculating Signal to Noise Ratio at layer model.layers.39.self_attn.v_proj Signal to Noise Ratio at layer model.layers.39.self_attn.v_proj = 1675.7645711321682

Calculating Signal to Noise Ratio at layer model.layers.40.self_attn.k_proj Signal to Noise Ratio at layer model.layers.40.self_attn.k_proj = 1.5244403389879522

Calculating Signal to Noise Ratio at layer model.layers.40.self_attn.v_proj Signal to Noise Ratio at layer model.layers.40.self_attn.v_proj = 406.13928327811595

Calculating Signal to Noise Ratio at layer model.layers.41.self_attn.k_proj Signal to Noise Ratio at layer model.layers.41.self_attn.k_proj = 1.6595441320443285

Calculating Signal to Noise Ratio at layer model.layers.41.self_attn.v_proj Signal to Noise Ratio at layer model.layers.41.self_attn.v_proj = 630.0868624694981

Calculating Signal to Noise Ratio at layer model.layers.42.self_attn.k_proj Signal to Noise Ratio at layer model.layers.42.self_attn.k_proj = 1.037089746602981

Calculating Signal to Noise Ratio at layer model.layers.42.self_attn.v_proj Signal to Noise Ratio at layer model.layers.42.self_attn.v_proj = 5.865115179753161

Calculating Signal to Noise Ratio at layer model.layers.43.self_attn.k_proj Signal to Noise Ratio at layer model.layers.43.self_attn.k_proj = 1.2167307353377796

Calculating Signal to Noise Ratio at layer model.layers.43.self_attn.v_proj Signal to Noise Ratio at layer model.layers.43.self_attn.v_proj = 14.493857040997593

Calculating Signal to Noise Ratio at layer model.layers.44.self_attn.k_proj Signal to Noise Ratio at layer model.layers.44.self_attn.k_proj = 1.3254801456913765

Calculating Signal to Noise Ratio at layer model.layers.44.self_attn.v_proj Signal to Noise Ratio at layer model.layers.44.self_attn.v_proj = 929.5507948184927

Calculating Signal to Noise Ratio at layer model.layers.45.self_attn.k_proj Signal to Noise Ratio at layer model.layers.45.self_attn.k_proj = 0.8799221460946477

Calculating Signal to Noise Ratio at layer model.layers.45.self_attn.v_proj Signal to Noise Ratio at layer model.layers.45.self_attn.v_proj = 138.24150062697706

Calculating Signal to Noise Ratio at layer model.layers.46.self_attn.k_proj Signal to Noise Ratio at layer model.layers.46.self_attn.k_proj = 1.4364369040069944

Calculating Signal to Noise Ratio at layer model.layers.46.self_attn.v_proj Signal to Noise Ratio at layer model.layers.46.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.47.self_attn.k_proj Signal to Noise Ratio at layer model.layers.47.self_attn.k_proj = 1.5039953326988464

Calculating Signal to Noise Ratio at layer model.layers.47.self_attn.v_proj Signal to Noise Ratio at layer model.layers.47.self_attn.v_proj = 916.1727358213857

Calculating Signal to Noise Ratio at layer model.layers.48.self_attn.k_proj Signal to Noise Ratio at layer model.layers.48.self_attn.k_proj = 1.3774147345025962

Calculating Signal to Noise Ratio at layer model.layers.48.self_attn.v_proj Signal to Noise Ratio at layer model.layers.48.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.49.self_attn.k_proj Signal to Noise Ratio at layer model.layers.49.self_attn.k_proj = 1.496570053548836

Calculating Signal to Noise Ratio at layer model.layers.49.self_attn.v_proj Signal to Noise Ratio at layer model.layers.49.self_attn.v_proj = 816.8708843069953

Calculating Signal to Noise Ratio at layer model.layers.50.self_attn.k_proj Signal to Noise Ratio at layer model.layers.50.self_attn.k_proj = 1.1144650796270612

Calculating Signal to Noise Ratio at layer model.layers.50.self_attn.v_proj Signal to Noise Ratio at layer model.layers.50.self_attn.v_proj = 1013.1682247787271

Calculating Signal to Noise Ratio at layer model.layers.51.self_attn.k_proj Signal to Noise Ratio at layer model.layers.51.self_attn.k_proj = 3.7913550246540635

Calculating Signal to Noise Ratio at layer model.layers.51.self_attn.v_proj Signal to Noise Ratio at layer model.layers.51.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.52.self_attn.k_proj Signal to Noise Ratio at layer model.layers.52.self_attn.k_proj = 1.680754165581029

Calculating Signal to Noise Ratio at layer model.layers.52.self_attn.v_proj Signal to Noise Ratio at layer model.layers.52.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.53.self_attn.k_proj Signal to Noise Ratio at layer model.layers.53.self_attn.k_proj = 3.064423507932819

Calculating Signal to Noise Ratio at layer model.layers.53.self_attn.v_proj Signal to Noise Ratio at layer model.layers.53.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.54.self_attn.k_proj Signal to Noise Ratio at layer model.layers.54.self_attn.k_proj = 2.3201283603647047

Calculating Signal to Noise Ratio at layer model.layers.54.self_attn.v_proj Signal to Noise Ratio at layer model.layers.54.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.55.self_attn.k_proj Signal to Noise Ratio at layer model.layers.55.self_attn.k_proj = 3.9188910045391916

Calculating Signal to Noise Ratio at layer model.layers.55.self_attn.v_proj Signal to Noise Ratio at layer model.layers.55.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.56.self_attn.k_proj Signal to Noise Ratio at layer model.layers.56.self_attn.k_proj = 2.8077111768801046

Calculating Signal to Noise Ratio at layer model.layers.56.self_attn.v_proj Signal to Noise Ratio at layer model.layers.56.self_attn.v_proj = inf

Calculating Signal to Noise Ratio at layer model.layers.57.self_attn.k_proj Signal to Noise Ratio at layer model.layers.57.self_attn.k_proj = 2.24360670610018

Calculating Signal to Noise Ratio at layer model.layers.57.self_attn.v_proj Signal to Noise Ratio at layer model.layers.57.self_attn.v_proj = 381.6422403317739

Calculating Signal to Noise Ratio at layer model.layers.58.self_attn.k_proj Signal to Noise Ratio at layer model.layers.58.self_attn.k_proj = 1.6971178916519492

Calculating Signal to Noise Ratio at layer model.layers.58.self_attn.v_proj Signal to Noise Ratio at layer model.layers.58.self_attn.v_proj = 182.5246839720645

Calculating Signal to Noise Ratio at layer model.layers.59.self_attn.k_proj Signal to Noise Ratio at layer model.layers.59.self_attn.k_proj = 1.7869714644485775

Calculating Signal to Noise Ratio at layer model.layers.59.self_attn.v_proj Signal to Noise Ratio at layer model.layers.59.self_attn.v_proj = 73.06378101191355

Finished laserRMT scanning.

Then look for the layer indexes where self_attn.v_proj snr is Infinity (here is the list: 56, 55, 54, 53, 52, 51, 48, 46, 21, 17, 16, 15, 14, 13, 8, 7) and eliminate those layers using mergekit .

Here is the mergekit config: 

slices:
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [0, 7]
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [9, 13]
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [18, 21]
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [22, 46]
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [47, 48]
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [49, 51]
  - sources:
    - model: "Mihaiii/Pallas-0.5"
      layer_range: [57, 60]
merge_method: passthrough
dtype: bfloat16

The resulted model (outputted by mergekit) is this model (Cluj-Napoca-0.2).

Cluj-Napoca versions 0.3 - 0.5 (including) are finetuned each having previous version as base.

Cluj-Napoca version 0.6 is a pruned down version of 0.5.

Cluj-Napoca version 0.7 - 0.11 (including) are finetuned each having previous version as base.

Prompt Format: 

SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:

Runs of Mihaiii Cluj-Napoca-0.2 on huggingface.co

64
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24-hour runs
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3-day runs
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30-day runs

More Information About Cluj-Napoca-0.2 huggingface.co Model

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https://choosealicense.com/licenses/yi-license

Cluj-Napoca-0.2 huggingface.co

Cluj-Napoca-0.2 huggingface.co is an AI model on huggingface.co that provides Cluj-Napoca-0.2's model effect (), which can be used instantly with this Mihaiii Cluj-Napoca-0.2 model. huggingface.co supports a free trial of the Cluj-Napoca-0.2 model, and also provides paid use of the Cluj-Napoca-0.2. Support call Cluj-Napoca-0.2 model through api, including Node.js, Python, http.

Cluj-Napoca-0.2 huggingface.co Url

https://huggingface.co/Mihaiii/Cluj-Napoca-0.2

Mihaiii Cluj-Napoca-0.2 online free

Cluj-Napoca-0.2 huggingface.co is an online trial and call api platform, which integrates Cluj-Napoca-0.2's modeling effects, including api services, and provides a free online trial of Cluj-Napoca-0.2, you can try Cluj-Napoca-0.2 online for free by clicking the link below.

Mihaiii Cluj-Napoca-0.2 online free url in huggingface.co:

https://huggingface.co/Mihaiii/Cluj-Napoca-0.2

Cluj-Napoca-0.2 install

Cluj-Napoca-0.2 is an open source model from GitHub that offers a free installation service, and any user can find Cluj-Napoca-0.2 on GitHub to install. At the same time, huggingface.co provides the effect of Cluj-Napoca-0.2 install, users can directly use Cluj-Napoca-0.2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Cluj-Napoca-0.2 install url in huggingface.co:

https://huggingface.co/Mihaiii/Cluj-Napoca-0.2

Url of Cluj-Napoca-0.2

Cluj-Napoca-0.2 huggingface.co Url

Provider of Cluj-Napoca-0.2 huggingface.co

Mihaiii
ORGANIZATIONS
huggingface.co

Other API from Mihaiii

 huggingface.co
Mihaiii/Venusaur

Total runs: 345
Run Growth: 67
Growth Rate: 19.42%
Updated:April 30 2024
huggingface.co
Mihaiii/Pallas-0.5

Total runs: 317
Run Growth: -1.1K
Growth Rate: -332.18%
Updated:February 22 2024
huggingface.co
Mihaiii/Bulbasaur

Total runs: 307
Run Growth: 115
Growth Rate: 38.21%
Updated:April 30 2024
huggingface.co
Mihaiii/gte-micro-v4

Total runs: 275
Run Growth: 94
Growth Rate: 34.94%
Updated:April 22 2024
huggingface.co
Mihaiii/Ivysaur

Total runs: 206
Run Growth: 65
Growth Rate: 31.55%
Updated:April 30 2024
huggingface.co
Mihaiii/gte-micro

Total runs: 184
Run Growth: -25
Growth Rate: -13.97%
Updated:April 22 2024
huggingface.co
Mihaiii/Squirtle

Total runs: 155
Run Growth: 56
Growth Rate: 36.13%
Updated:May 01 2024
huggingface.co
Mihaiii/Wartortle

Total runs: 149
Run Growth: 57
Growth Rate: 38.26%
Updated:May 01 2024
huggingface.co
Mihaiii/gte-micro-v3

Total runs: 141
Run Growth: 38
Growth Rate: 27.14%
Updated:April 22 2024
huggingface.co
Mihaiii/gte-micro-v2

Total runs: 141
Run Growth: 39
Growth Rate: 27.86%
Updated:April 22 2024
huggingface.co
Mihaiii/test25

Total runs: 141
Run Growth: 54
Growth Rate: 38.30%
Updated:May 02 2024
huggingface.co
Mihaiii/test24

Total runs: 138
Run Growth: 55
Growth Rate: 39.86%
Updated:May 02 2024
huggingface.co
Mihaiii/Metis-0.3

Total runs: 104
Run Growth: -314
Growth Rate: -301.92%
Updated:December 19 2023
huggingface.co
Mihaiii/Metis-0.4

Total runs: 69
Run Growth: 25
Growth Rate: 36.23%
Updated:January 13 2024
huggingface.co
Mihaiii/Covasna-0.1

Total runs: 25
Run Growth: 12
Growth Rate: 46.15%
Updated:March 12 2024
huggingface.co
Mihaiii/cluj_test

Total runs: 18
Run Growth: 8
Growth Rate: 44.44%
Updated:February 24 2024
huggingface.co
Mihaiii/Venusaur_m2v

Total runs: 17
Run Growth: 13
Growth Rate: 76.47%
Updated:February 07 2025
huggingface.co
Mihaiii/Metis-0.5

Total runs: 15
Run Growth: 9
Growth Rate: 60.00%
Updated:December 29 2023
huggingface.co
Mihaiii/Metis-0.1

Total runs: 12
Run Growth: 3
Growth Rate: 25.00%
Updated:December 17 2023
huggingface.co
Mihaiii/Pallas-0.4

Total runs: 10
Run Growth: 3
Growth Rate: 30.00%
Updated:December 26 2023
huggingface.co
Mihaiii/Pallas-0.2

Total runs: 10
Run Growth: 5
Growth Rate: 50.00%
Updated:December 26 2023
huggingface.co
Mihaiii/Pallas-0.3

Total runs: 10
Run Growth: -5
Growth Rate: -50.00%
Updated:December 26 2023
huggingface.co
Mihaiii/test28

Total runs: 6
Run Growth: 0
Growth Rate: 0.00%
Updated:June 08 2024
huggingface.co
Mihaiii/Ovis2-4B

Total runs: 4
Run Growth: 2
Growth Rate: 50.00%
Updated:February 19 2025
huggingface.co
Mihaiii/test16

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test30

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:June 22 2024
huggingface.co
Mihaiii/test20

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test11

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test29

Total runs: 2
Run Growth: 0
Growth Rate: 0.00%
Updated:June 22 2024
huggingface.co
Mihaiii/test32

Total runs: 2
Run Growth: 0
Growth Rate: 0.00%
Updated:June 22 2024
huggingface.co
Mihaiii/test18

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test26

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:May 06 2024
huggingface.co
Mihaiii/test33

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:June 22 2024
huggingface.co
Mihaiii/test10

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test9

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:April 29 2024
huggingface.co
Mihaiii/test31

Total runs: 1
Run Growth: 0
Growth Rate: 0.00%
Updated:June 22 2024
huggingface.co
Mihaiii/test34

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:June 23 2024
huggingface.co
Mihaiii/test13

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test8

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:April 29 2024
huggingface.co
Mihaiii/test27

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:May 07 2024
huggingface.co
Mihaiii/test19

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024
huggingface.co
Mihaiii/test12

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:April 30 2024