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Naphula
Available on FriendliAI
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Model Details
Model Provider
Naphula
Model Tree
BeaverAI/Cydonia-24B-v4x-GGUF
TheDrummer/Cydonia-24B-v4.3
BeaverAI/Cydonia-24B-v4y-GGUF
anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
Input Modalities
Output Modalities
Supported Functionality
[!IMPORTANT] ⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use Mistral Tekken chat template.
This is a merge of pre-trained language models created using mergekit-exp, a custom fork of the official mergekit. This model was merged using the della merge method.
The model is fully uncensored with 0 refusals despite not using any form of Heretic/ablation due to the un-normalized magnitude of the merge.
In my opinion this model produces superior writing to Cydonia-24B-v4.3-absolute-heresy. Several other variants were tested including swapping v4q in place of v4y, yet this produced inferior results.
Audit
cmd
v8[DELLA Audit] Layer: model.layers.0.mlp.up_proj.weight | Lambda=1.00 [BASE] !models--anthracite-core--Mistral-Small-3.2-24B-In !models--TheDrummer--Cydonia-24B-v4.3 : ███████████████████ 39.5% (W:0.40 D:0.90 N:0.92 E:0.09) Cydonia-24B-v4x-Q8_0 : ████████████████████ 40.2% (W:0.80 D:0.90 N:0.47 E:0.09) Cydonia-24B-v4y-Q8_0 : ██████████ 20.3% (W:0.40 D:0.90 N:0.47 E:0.09) v12[DELLA Audit] Layer: model.layers.0.mlp.up_proj.weight | Lambda=1.00 [BASE] !models--anthracite-core--Mistral-Small-3.2-24B-In !models--TheDrummer--Cydonia-24B-v4.3 : ████████ 17.5% (W:0.40 D:0.90 N:0.92 E:0.09) Cydonia-24B-v4q-Q8_0 : ████████████████████████████████ 64.7% (W:0.40 D:0.90 N:3.41 E:0.09) Cydonia-24B-v4x-Q8_0 : ████████ 17.8% (W:0.80 D:0.90 N:0.27 E:0.09)The following models were included in this merge:
🙏 Thanks @mradermacher and other quantizers. 💾 GGUFs: - mradermacher/Cyberdonia-24B-v8-GGUF- mradermacher/Cyberdonia-24B-v8-i1-GGUF
⚙️ See this page for recommended settings.
mergekit_config.yml
yaml
architecture: MistralForCausalLMbase_model: B:\24B\!models--anthracite-core--Mistral-Small-3.2-24B-Instruct-2506-Text-Onlymodels: - model: B:\24B\Cydonia-24B-v4x-Q8_0 parameters: weight: 0.8 density: 0.9 epsilon: 0.09 - model: B:\24B\!models--TheDrummer--Cydonia-24B-v4.3 parameters: weight: 0.4 density: 0.9 epsilon: 0.09 - model: B:\24B\Cydonia-24B-v4y-Q8_0 parameters: weight: 0.4 density: 0.9 epsilon: 0.09merge_method: dellaparameters: lambda: 1.0 normalize: false int8_mask: false rescale: truedtype: float32out_dtype: bfloat16tokenizer: source: unionchat_template: autov8[DELLA Audit] Layer: model.layers.0.mlp.up_proj.weight | Lambda=1.00 [BASE] !models--anthracite-core--Mistral-Small-3.2-24B-In !models--TheDrummer--Cydonia-24B-v4.3 : ███████████████████ 39.5% (W:0.40 D:0.90 N:0.92 E:0.09) Cydonia-24B-v4x-Q8_0 : ████████████████████ 40.2% (W:0.80 D:0.90 N:0.47 E:0.09) Cydonia-24B-v4y-Q8_0 : ██████████ 20.3% (W:0.40 D:0.90 N:0.47 E:0.09) v12[DELLA Audit] Layer: model.layers.0.mlp.up_proj.weight | Lambda=1.00 [BASE] !models--anthracite-core--Mistral-Small-3.2-24B-In !models--TheDrummer--Cydonia-24B-v4.3 : ████████ 17.5% (W:0.40 D:0.90 N:0.92 E:0.09) Cydonia-24B-v4q-Q8_0 : ████████████████████████████████ 64.7% (W:0.40 D:0.90 N:3.41 E:0.09) Cydonia-24B-v4x-Q8_0 : ████████ 17.8% (W:0.80 D:0.90 N:0.27 E:0.09)architecture: MistralForCausalLMbase_model: B:\24B\!models--anthracite-core--Mistral-Small-3.2-24B-Instruct-2506-Text-Onlymodels: - model: B:\24B\Cydonia-24B-v4x-Q8_0 parameters: weight: 0.8 density: 0.9 epsilon: 0.09 - model: B:\24B\!models--TheDrummer--Cydonia-24B-v4.3 parameters: weight: 0.4 density: 0.9 epsilon: 0.09 - model: B:\24B\Cydonia-24B-v4y-Q8_0 parameters: weight: 0.4 density: 0.9 epsilon: 0.09merge_method: dellaparameters: lambda: 1.0 normalize: false int8_mask: false rescale: truedtype: float32out_dtype: bfloat16tokenizer: source: unionchat_template: auto