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testing_semifinal

lilmeaty / testing_semifinal

Run on huggingface.co
huggingface.co
Total runs: 10
24-hour runs: 0
7-day runs: -3
30-day runs: 6
Model's Last Updated: February 19 2025
text-generation

Introduction of testing_semifinal

Model Details of testing_semifinal

merge

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

Merge Details
Merge Method

This model was merged using the linear merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model: 

models:
  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-qgcitfu
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-esawwda
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-dkhnzcn
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-poovzrh
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-pghuyfi
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-kmlzhzo
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: Hjgugugjhuhjggg/mergekit-ties-xflmond
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Long-Think
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Pure-RP
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Apex
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Mix-Skill
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Booval
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-ProdigyPlusPlus
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Prodigy
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Sci-Think
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Stock
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: chuanli11/Llama-3.2-3B-Instruct-uncensored
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: ValiantLabs/Llama3.2-3B-Enigma
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: CarrotAI/Llama-3.2-Rabbit-Ko-3B-Instruct
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: AELLM/Llama-3.2-Chibi-3B
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: EmTpro01/llama-3.2-Code-Generator
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: disi-unibo-nlp/llama3.2-3B-SFT-medmcqa-triples-cot
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: Atharva26/llama-3.2-3b-mathdaily-chatbot
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: Diluksha/Llama_3.2_3B_sql_finetuned_full
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-CodeReactor
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: AcademieDuNumerique/Llama-3.2-3B-SQL-Instruct
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: roger33303/Best_Model-llama3.2-3b-Instruct-Finetune-website-QnA
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: noaebbot/llama3.2-3B-insights
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-TitanFusion-v2
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-TitanFusion
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: bunnycore/Llama-3.2-3B-Mix
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: ValiantLabs/Llama3.2-3B-ShiningValiant2
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: TroyDoesAI/BlackSheep-Llama3.2-3B-Context_Obedient
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: BrainWave-ML/llama3.2-3B-codemath-orpo
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: CK0607/llama3.2-3B-CodeP
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: disi-unibo-nlp/llama3.2-3B-SFT-medqa-triples-cot
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: Isotonic/reasoning-llama3.2-3b
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100
  - layer_range: [0, 28]
    model: meta-llama/Llama-3.2-3B
    parameters:
      weight: 0.5
      density: 0.5
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        - method: int8
          value: 100
        - method: int4
          value: 100

merge_method: linear
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
weight: 1
density: 0.9
gamma: 0.01
normalize: true
int8_mask: true
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
quantization:
- method: int8
  value: 100
- method: int4
  value: 100
parameters:
  weight: 1
  density: 0.9
  gamma: 0.01
  normalize: true
  int8_mask: true
  random_seed: 0
  temperature: 0.5
  top_p: 0.65
  inference: true
  max_tokens: 999999999
  stream: true
  quantization:
    - method: int8
      value: 100
    - method: int4
      value: 100
dtype: float16

Runs of lilmeaty testing_semifinal on huggingface.co

10
Total runs
0
24-hour runs
0
3-day runs
-3
7-day runs
6
30-day runs

More Information About testing_semifinal huggingface.co Model

testing_semifinal huggingface.co

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

testing_semifinal huggingface.co Url

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

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Total runs: 4
Run Growth: 2
Growth Rate: 50.00%
Updated:February 08 2025
huggingface.co
lilmeaty/llama

Total runs: 4
Run Growth: 4
Growth Rate: 100.00%
Updated:November 05 2024
huggingface.co
lilmeaty/my_xdd

Total runs: 4
Run Growth: 1
Growth Rate: 25.00%
Updated:February 19 2025
huggingface.co
lilmeaty/tiny

Total runs: 4
Run Growth: 4
Growth Rate: 100.00%
Updated:December 28 2024
huggingface.co
lilmeaty/kaska

Total runs: 3
Run Growth: 1
Growth Rate: 33.33%
Updated:November 09 2024
huggingface.co
lilmeaty/wowxd

Total runs: 3
Run Growth: -1
Growth Rate: -33.33%
Updated:November 04 2024
huggingface.co
lilmeaty/hghghghg

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:November 26 2024
huggingface.co
lilmeaty/xdddd

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/llama_unc

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:December 03 2024
huggingface.co
lilmeaty/kskskskk

Total runs: 2
Run Growth: 1
Growth Rate: 50.00%
Updated:November 29 2024
huggingface.co
lilmeaty/wowkikk

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:January 05 2025
huggingface.co
lilmeaty/xvvvm

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:November 05 2024
huggingface.co
lilmeaty/instruct

Total runs: 2
Run Growth: 1
Growth Rate: 50.00%
Updated:January 05 2025
huggingface.co
lilmeaty/llama-gguf

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:November 29 2024
huggingface.co
lilmeaty/llama_v5

Total runs: 2
Run Growth: 0
Growth Rate: 0.00%
Updated:February 08 2025
huggingface.co
lilmeaty/llama_v3

Total runs: 2
Run Growth: -2
Growth Rate: -100.00%
Updated:February 08 2025
huggingface.co
lilmeaty/gpt2

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:November 09 2024
huggingface.co
lilmeaty/xdddsfs

Total runs: 1
Run Growth: -2
Growth Rate: -200.00%
Updated:November 05 2024
huggingface.co
lilmeaty/5

Total runs: 1
Run Growth: 1
Growth Rate: 100.00%
Updated:November 05 2024
huggingface.co
lilmeaty/ja-3B-ET

Total runs: 1
Run Growth: -1
Growth Rate: -100.00%
Updated:January 05 2025
huggingface.co
lilmeaty/tesdfdfv1

Total runs: 1
Run Growth: 1
Growth Rate: 100.00%
Updated:January 12 2025
huggingface.co
lilmeaty/xcccggg

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/xddhcvuv

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/okk

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/cgdgd

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/ddfd11

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/gdgdgdggdg

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 10 2025
huggingface.co
lilmeaty/sshhshs

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/ddfd

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/xfac

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/ksksk

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/qwen

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/jp_xd

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:December 22 2024
huggingface.co
lilmeaty/xdworl

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:February 09 2025
huggingface.co
lilmeaty/lilhjbbbj

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/kskskks

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/herm

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024