xxx777xxxASD/L3-ChaoticSoliloquy-v2-4x8B-test

(Maybe i'll change the waifu picture later.)

TRY 1.5 or 1.0 INSTEAD AND CHECK IF THEY WORK BETTER, I DIDN'T TEST THIS VERSION BEFORE PUBLISHING

GGUF quants

Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.

The model has totally 25B parameters, of which ~13B are active.

Please feedback me if it's more stable than the previous version

Llama 3 ChaoticSoliloquy-v2-4x8B test

base_model: L3_ChaosMaid_8B
gate_mode: random
dtype: bfloat16
experts_per_token: 2
experts:
  - source_model: ChaoticNeutrals_Poppy_Porpoise-0.72-L3-8B
  - source_model: L3_ChaosMaid_8B
  - source_model: openlynn_Llama-3-Soliloquy-8B-v2
  - source_model: Sao10K_L3-Solana-8B-v1

Models used

• ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
• jeiku/Chaos_RP_l3_8B
• NeverSleep/Llama-3-Lumimaid-8B-v0.1
• openlynn/Llama-3-Soliloquy-8B-v2
• Sao10K/L3-Solana-8B-v1

Difference

• Update from ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B to ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
• Update from openlynn/Llama-3-Soliloquy-8B to openlynn/Llama-3-Soliloquy-8B-v2
• Change - NeverSleep/Llama-3-Lumimaid-8B-v0.1 to L3-ChaosMaid-8B

L3 ChaosMaid-8B

models:
  - model: jeiku_Chaos_RP_l3_8B
    # No parameters necessary for base model
  - model: NeverSleep_Llama-3-Lumimaid-8B-v0.1
    parameters:
      density: 0.5
      weight: 0.5
merge_method: dare_ties
base_model: jeiku_Chaos_RP_l3_8B
parameters:
  int8_mask: true
dtype: bfloat16

Vision

llama3_mmproj

Prompt format: Llama 3