JayhC
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L3_SnowStorm_4x8B-6.5bpw-h8-exl2

Text Generation

Mixture of Experts

text-generation-inference

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Configuration Parsing Warning: In config.json: "quantization_config.bits" must be an integer

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

ORIGINAL CARD:

(Maybe i'll change the waifu picture later)

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

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

Prompt format: Llama 3

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Text Generation

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