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Flexan/Novaciano-NPC-1B-PERVERTIDO-GGUF
Novaciano-NPC-1B-PERVERTIDO-GGUF is a machine learning model from Flexan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
These are the GGUF files for Novaciano/NPC-1B-PERVERTIDO.
Downloads · 30 days
259
15% of all-time downloads
All-time downloads
1.7K
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12.3 GB
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.gguf12.3 GB · 100%
From the Hugging Face model README
These are the GGUF files for Novaciano/NPC-1B-PERVERTIDO.
| GGUF Link | Quantization | Description |
|---|---|---|
| Download | Q2_K | Lowest quality |
| Download | Q3_K_S | |
| Download | IQ3_S | Integer quant, preferable over Q3_K_S |
| Download | IQ3_M | Integer quant |
| Download | Q3_K_M | |
| Download | Q3_K_L | |
| Download | IQ4_XS | Integer quant |
| Download | Q4_K_S | Fast with good performance |
| Download | Q4_K_M | Recommended: Perfect mix of speed and performance |
| Download | Q5_K_S | |
| Download | Q5_K_M | |
| Download | Q6_K | Very good quality |
| Download | Q8_0 | Best quality |
| Download | f16 | Full precision, don't bother; use a quant |
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.
You can find more info about me and what I do here.
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
merge_method: slerp
dtype: float16
out_dtype: float16
base_model: Novaciano/Toxic.NPC-1B
models:
- model: Novaciano/Toxic.NPC-1B
parameters:
weight: 0.55
- model: hereticness/Heretic-Gemma-3-1B-Instruct-TrashMix-v1.1
parameters:
weight: 0.30
parameters:
t: 0.40
normalize: false
rescale: true
memory_efficient: true
low_cpu_mem_usage: true