You can deploy this model and start earning money today!

Prikol

Name: L3.3-Prikol-70B-v0.5
Rating: 2.5 (19 reviews)

I don't even know anymore

Overview

99% of mergekit addicts quit before they hit it big.

Gosh, I need to create an org for my test runs - my profile looks like a dumpster.

What was it again? Ah, the new model.

Exactly what I wanted. All I had to do was yank out the cursed official DeepSeek distill and here we are.

From the brief tests it gave me some unusual takes on the character cards I'm used to. Just this makes it worth it imo. Also the writing is kinda nice.

Settings:

Prompt format: Llama3

Samplers: 1.15 temp, 0.015 minP (by @Geechan)

Quants

GGUF: Imatrix | Static

exl2: 4.0bpw | 6.0bpw

Merge Details

There's a ridiculous amount of insensible mergekit configs, but it could be worse, believe me.

Anyway, here are all the merge steps for this thing combined:

Test-Step1

yaml

merge_method: della_linear
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true
tokenizer_source: base
base_model: Sao10K/L3.3-70B-Euryale-v2.3
models:
    - model: Sao10K/70B-L3.3-Cirrus-x1
      parameters:
        density: 0.55
        weight: 1
    - model: SicariusSicariiStuff/Negative_LLAMA_70B
      parameters:
        density: 0.55
        weight: 1
    - model: TheDrummer/Anubis-70B-v1
      parameters:
        density: 0.55
        weight: 1

Test-Step2

yaml

models:
  - model: mergekit-community/L3.3-Test-Step1
  - model: sophosympatheia/New-Dawn-Llama-3.1-70B-v1.1
    parameters:
        density: 0.75
        gamma: 0.01
        weight: 0.05
  - model: Nohobby/AbominationSnowPig
    parameters:
        density: 0.77
        gamma: 0.007
        weight: 0.07
  - model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
    parameters:
        density: 0.88
        gamma: 0.008
        weight: 0.28
base_model: mergekit-community/L3.3-Test-Step1
merge_method: breadcrumbs_ties
parameters:
  int8_mask: true
  rescale: true
  normalize: false
dtype: bfloat16
tokenizer_source: base

ASP-Step1

yaml

models:
  - model: pankajmathur/orca_mini_v9_3_70B
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 1
      density: 0.55
      gamma: 0.03
  - model: Undi95/Sushi-v1.4
    parameters:
      weight: 0.069
      gamma: 0.001
      density: 0.911
merge_method: breadcrumbs
base_model: pankajmathur/orca_mini_v9_3_70B
parameters:
  int8_mask: true
  rescale: true
  normalize: true
dtype: bfloat16
tokenizer_source: base

AbominationSnowPig

yaml

dtype: bfloat16
tokenizer_source: base
merge_method: nuslerp
parameters:
  nuslerp_row_wise: true
models:
  - model: unsloth/Llama-3.3-70B-Instruct
    parameters:
      weight:
        - filter: v_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: o_proj
          value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1]
        - filter: up_proj
          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
        - filter: gate_proj
          value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0]
        - filter: down_proj
          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
        - value: 0
  - model: Step1
    parameters:
      weight:
        - filter: v_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: o_proj
          value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0]
        - filter: up_proj
          value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
        - filter: gate_proj
          value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1]
        - filter: down_proj
          value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
        - value: 1

Prkiol-v0.1

yaml

base_model: TheDrummer/Anubis-70B-v1
parameters:
  epsilon: 0.04
  lambda: 1.05
  int8_mask: true
  rescale: true
  normalize: false
dtype: bfloat16
tokenizer_source: union
merge_method: della_linear
models:
  - model: TheDrummer/Anubis-70B-v1
    parameters:
      weight: [0.2, 0.3, 0.2, 0.3, 0.2]
      density: [0.45, 0.55, 0.45, 0.55, 0.45]
  - model: Blackroot/Mirai-3.0-70B
    parameters:
      weight: [0.01768, -0.01675, 0.01285, -0.01696, 0.01421]
      density: [0.6, 0.4, 0.5, 0.4, 0.6]
  - model: Sao10K/L3.3-70B-Euryale-v2.3
    parameters:
      weight: [0.208, 0.139, 0.139, 0.139, 0.208]
      density: [0.7]
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0
    parameters:
      weight: [0.33]
      density: [0.45, 0.55, 0.45, 0.55, 0.45]

Prkiol-v0.2

yaml

base_model: AbominationSnowPig
merge_method: model_stock
dtype: bfloat16
models:
  - model: Sao10K/70B-L3.3-Cirrus-x1
  - model: Nohobby/L3.3-Prikol-70B-v0.1a

Iamactuallygoinginsane

yaml

base_model: mergekit-community/L3.3-Test-Step2
merge_method: model_stock
tokenizer_source: base
dtype: bfloat16
models:
  - model: Nohobby/L3.3-Prikol-70B-v0.2
  - model: Black-Ink-Guild/Pernicious_Prophecy_70B

Imightbeontosmthing (Prikol-v0.5)

yaml

models:
  - model: Nohobby/Iamactuallygoinginsane
  - model: Sao10K/L3.1-70B-Hanami-x1
    parameters:
        density: 0.7
        weight: 0.05
  - model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
    parameters:
        density: 0.5
        weight: 0.1
base_model: Nohobby/Iamactuallygoinginsane
merge_method: ties
parameters:
  normalize: true
dtype: bfloat16

Nohobby/L3.3-Prikol-70B-v0.5

Prikol

Overview

Quants

Merge Details

Test-Step1

Test-Step2

ASP-Step1

AbominationSnowPig

Prkiol-v0.1

Prkiol-v0.2

Iamactuallygoinginsane

Imightbeontosmthing (Prikol-v0.5)

Nohobby/
L3.3-Prikol-70B-v0.5