Legion-V2.1-LLaMa-70B_exl3_3.0bpw_H6

Legion-V2.1-LLaMa-70B - EXL3 3.0bpw H6

This is a 3bpw EXL3 quant of Tarek07/Legion-V2.1-LLaMa-70B

This quant was made using exllamav3-0.0.2

3bpw fits in 32GB VRAM on Windows with around 18-20k Q8 context (tested in tabbyAPI)

I tested this quant shortly in some random RPs (including ones over 8k and 16k context) and it seems to work fine

Prompt Templates

Uses Llama 3 Instruct format.

Original readme below

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~ We are Legion...

My biggest merge yet, consisting of a total of 20 specially curated models. My methodology in approaching this was to create 5 highly specialized models:

• A completely uncensored base
• A very intelligent model based on UGI, Willingness and NatInt scores on the UGI Leaderboard
• A highly descriptive writing model, specializing in creative and natural prose
• A RP model specially merged with fine-tuned models that use a lot of RP datasets
• The secret ingredient: A completely unhinged, uncensored final model

These five models went through a series of iterations until I got something I thought worked well and then combined them to make LEGION.

The full list of models used in this merge is below:

• TheDrummer/Fallen-Llama-3.3-R1-70B-v1
• Sao10K/Llama-3.3-70B-Vulpecula-r1
• Sao10K/L3-70B-Euryale-v2.1
• SicariusSicariiStuff/Negative_LLAMA_70B
• allura-org/Bigger-Body-70b
• Sao10K/70B-L3.3-mhnnn-x1
• Sao10K/L3.3-70B-Euryale-v2.3
• Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
• Sao10K/L3.1-70B-Hanami-x1
• Sao10K/70B-L3.3-Cirrus-x1
• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
• TheDrummer/Anubis-70B-v1
• ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
• LatitudeGames/Wayfarer-Large-70B-Llama-3.3
• NeverSleep/Lumimaid-v0.2-70B
• mlabonne/Hermes-3-Llama-3.1-70B-lorablated
• ReadyArt/Forgotten-Safeword-70B-3.6
• ReadyArt/Fallen-Abomination-70B-R1-v4.1
• ReadyArt/Fallen-Safeword-70B-R1-v4.1
• huihui-ai/Llama-3.3-70B-Instruct-abliterated

Recommended settings:

Temp 1.0
Min P 0.02

Because of the nature of this sort of 'Hyper Multi Model Merge', my recommendation is not to run this on anything lower than a Q5 quant.

If you enjoy my work, please consider supporting me, It helps me make more models like this! Support on KO-FI <3

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 TareksLab/L-BASE-V1 as a base.

Models Merged

The following models were included in the merge:

• TareksLab/L2-MERGE4
• TareksLab/L2-MERGE1
• TareksLab/L2-MERGE3
• TareksLab/L2-MERGE2a

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TareksLab/L2-MERGE2a
    parameters:
      weight: 0.20
      density: 0.5
  - model: TareksLab/L2-MERGE4
    parameters:
      weight: 0.20
      density: 0.5
  - model: TareksLab/L-BASE-V1
    parameters:
      weight: 0.20
      density: 0.5
  - model: TareksLab/L2-MERGE3
    parameters:
      weight: 0.20
      density: 0.5
  - model: TareksLab/L2-MERGE1
    parameters:
      weight: 0.20
      density: 0.5
merge_method: dare_ties
base_model: TareksLab/L-BASE-V1
parameters:
  normalize: false
out_dtype: bfloat16
chat_template: llama3
tokenizer:
 source: base