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models(gallery): add lumimaid variant (#2267)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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@ -475,6 +475,27 @@
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- filename: Llama-3-Lumimaid-8B-v0.1.q4_k_m.gguf
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sha256: 23ac0289da0e096d5c00f6614dfd12c94dceecb02c313233516dec9225babbda
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uri: huggingface://NeverSleep/Llama-3-Lumimaid-8B-v0.1-GGUF/Llama-3-Lumimaid-8B-v0.1.q4_k_m.gguf
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- <<: *llama3
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name: "llama-3-lumimaid-8b-v0.1-oas-iq-imatrix"
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urls:
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- https://huggingface.co/Lewdiculous/Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix
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icon: https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/JUxfdTot7v7LTdIGYyzYM.png
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license: cc-by-nc-4.0
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description: |
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This model uses the Llama3 prompting format.
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Llama3 trained on our RP datasets, we tried to have a balance between the ERP and the RP, not too horny, but just enough.
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We also added some non-RP dataset, making the model less dumb overall. It should look like a 40%/60% ratio for Non-RP/RP+ERP data.
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"This model received the Orthogonal Activation Steering treatment, meaning it will rarely refuse any request."
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overrides:
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parameters:
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model: Llama-3-Lumimaid-8B-v0.1-OAS-Q4_K_M-imat.gguf
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files:
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- filename: Llama-3-Lumimaid-8B-v0.1-OAS-Q4_K_M-imat.gguf
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sha256: 1199440aa13c55f5f2cad1cb215535306f21e52a81de23f80a9e3586c8ac1c50
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uri: huggingface://Lewdiculous/Llama-3-Lumimaid-8B-v0.1-OAS-GGUF-IQ-Imatrix/Llama-3-Lumimaid-8B-v0.1-OAS-Q4_K_M-imat.gguf
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- <<: *llama3
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name: "suzume-llama-3-8B-multilingual"
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urls:
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