L3_SnowStorm_4x8B-6.5bpw-h8-exl2

<br/><br/> 6.5bpw/h8 exl2 quantization of xxx777xxxASD/L3_SnowStorm_4x8B using exllamav2 0.0.21 and default calibration dataset.

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ORIGINAL CARD:

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(Maybe i'll change the waifu picture later)

[!NOTE] GGUF quants

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

Llama 3 SnowStorm 4x8B

base_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS
gate_mode: random
dtype: bfloat16
experts_per_token: 2
experts:
  - source_model: ChaoticNeutrals_Poppy_Porpoise-v0.7-L3-8B
  - source_model: NeverSleep_Llama-3-Lumimaid-8B-v0.1-OAS
  - source_model: openlynn_Llama-3-Soliloquy-8B-v2
  - source_model: Sao10K_L3-8B-Stheno-v3.1

Models used

• ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B
• NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
• openlynn/Llama-3-Soliloquy-8B-v2
• Sao10K/L3-8B-Stheno-v3.1

Difference(from ChaoticSoliloquy v1.5)

• Update from NeverSleep/Llama-3-Lumimaid-8B-v0.1 to NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
• Update from openlynn/Llama-3-Soliloquy-8B-v1 to openlynn/Llama-3-Soliloquy-8B-v2
• Update from Sao10K/L3-Solana-8B-v1 to Sao10K/L3-8B-Stheno-v3.1

Vision

llama3_mmproj

Prompt format: Llama 3