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Model: Flexan/NovaCorp-Shadowncensored-1B-GGUF Source: Original Platform
2026-06-30 10:07:16 +08:00
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+---
+base_model: NovaCorp/Shadowncensored-1B
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+
+# GGUF Files for Shadowncensored-1B
+
+These are the GGUF files for [NovaCorp/Shadowncensored-1B](https://huggingface.co/NovaCorp/Shadowncensored-1B).
+
+## Downloads
+
+| GGUF Link | Quantization | Description |
+| ---- | ----- | ----------- |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q2_K.gguf) | Q2_K | Lowest quality |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q3_K_S.gguf) | Q3_K_S |  |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.IQ3_S.gguf) | IQ3_S | Integer quant, preferable over Q3_K_S |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.IQ3_M.gguf) | IQ3_M | Integer quant |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q3_K_M.gguf) | Q3_K_M |  |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q3_K_L.gguf) | Q3_K_L |  |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.IQ4_XS.gguf) | IQ4_XS | Integer quant |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q4_K_S.gguf) | Q4_K_S | Fast with good performance |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q4_K_M.gguf) | Q4_K_M | **Recommended:** Perfect mix of speed and performance |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q5_K_S.gguf) | Q5_K_S |  |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q5_K_M.gguf) | Q5_K_M |  |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q6_K.gguf) | Q6_K | Very good quality |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.Q8_0.gguf) | Q8_0 | Best quality |
+| [Download](https://huggingface.co/Flexan/NovaCorp-Shadowncensored-1B-GGUF/resolve/main/Shadowncensored-1B.f16.gguf) | f16 | Full precision, don't bother; use a quant |
+
+## Note from Flexan
+
+I provide GGUFs and quantizations of publicly available models that do not have a GGUF equivalent available yet,
+usually for models **I deem interesting and wish to try out**.
+
+If there are some quants missing that you'd like me to add, you may request one in the community tab.
+If you want to request a public model to be converted, you can also request that in the community tab.
+If you have questions regarding this model, please refer to [the original model repo](https://huggingface.co/NovaCorp/Shadowncensored-1B).
+
+You can find more info about me and what I do [here](https://huggingface.co/Flexan/Flexan).
+
+# Shadowncensored-1B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [lunahr/gemma-3-1b-it-abliterated](https://huggingface.co/lunahr/gemma-3-1b-it-abliterated)
+* [Echo9Zulu/Shadows-Gemma-3-1B](https://huggingface.co/Echo9Zulu/Shadows-Gemma-3-1B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+
+
+# Umbrella Corporation Official Merge Protocol v3.2
+# Author: Dr. Novaciano
+# Objective: Test
+# PROJECT: Shadowncensored-3.2-1B
+
+models:
+  - model: lunahr/gemma-3-1b-it-abliterated  # Experimental viral strain neural imprint
+  - model: Echo9Zulu/Shadows-Gemma-3-1B      # Baseline cognitive template, "safe mode"
+
+merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
+base_model: lunahr/gemma-3-1b-it-abliterated  # Anchor model for stable latent space
+
+dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity
+
+parameters:
+  t: 0.45
+  normalize: false
+  rescale: true
+  rescale_factor: 1.12
+  memory_efficient: true
+  low_cpu_mem_usage: true
+
+layer_range:
+  - value: [4, 22]
+
+tie_word_embeddings: true
+tie_output_embeddings: true
+
+
+
+```
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