RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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UnFimbulvetr-20B - GGUF
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- Model creator: https://huggingface.co/KaraKaraWitch/
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- Original model: https://huggingface.co/KaraKaraWitch/UnFimbulvetr-20B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [UnFimbulvetr-20B.Q2_K.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q2_K.gguf) | Q2_K | 6.87GB |
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| [UnFimbulvetr-20B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q3_K_S.gguf) | Q3_K_S | 8.01GB |
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| [UnFimbulvetr-20B.Q3_K.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q3_K.gguf) | Q3_K | 8.93GB |
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| [UnFimbulvetr-20B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q3_K_M.gguf) | Q3_K_M | 8.93GB |
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| [UnFimbulvetr-20B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q3_K_L.gguf) | Q3_K_L | 9.73GB |
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| [UnFimbulvetr-20B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.IQ4_XS.gguf) | IQ4_XS | 10.03GB |
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| [UnFimbulvetr-20B.Q4_0.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q4_0.gguf) | Q4_0 | 10.46GB |
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| [UnFimbulvetr-20B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.IQ4_NL.gguf) | IQ4_NL | 10.57GB |
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| [UnFimbulvetr-20B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q4_K_S.gguf) | Q4_K_S | 10.53GB |
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| [UnFimbulvetr-20B.Q4_K.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q4_K.gguf) | Q4_K | 11.14GB |
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| [UnFimbulvetr-20B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q4_K_M.gguf) | Q4_K_M | 11.14GB |
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| [UnFimbulvetr-20B.Q4_1.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q4_1.gguf) | Q4_1 | 11.61GB |
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| [UnFimbulvetr-20B.Q5_0.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q5_0.gguf) | Q5_0 | 12.76GB |
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| [UnFimbulvetr-20B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q5_K_S.gguf) | Q5_K_S | 12.76GB |
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| [UnFimbulvetr-20B.Q5_K.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q5_K.gguf) | Q5_K | 13.11GB |
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| [UnFimbulvetr-20B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q5_K_M.gguf) | Q5_K_M | 13.11GB |
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| [UnFimbulvetr-20B.Q5_1.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q5_1.gguf) | Q5_1 | 13.91GB |
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| [UnFimbulvetr-20B.Q6_K.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q6_K.gguf) | Q6_K | 15.2GB |
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| [UnFimbulvetr-20B.Q8_0.gguf](https://huggingface.co/RichardErkhov/KaraKaraWitch_-_UnFimbulvetr-20B-gguf/blob/main/UnFimbulvetr-20B.Q8_0.gguf) | Q8_0 | 19.69GB |
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Original model description:
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---
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base_model: ["Sao10K/Fimbulvetr-11B-v2"]
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# UnFimbulvetr-20B
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![](UnFimbulator.png "A Waifu that is disappointed in me with this cursed merge. ControlNet Image Source is from the original Fimbulvetr-11B-v2.")
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*Waifu to catch your attention*
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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NOTE: *Only tested this just for a bit. YMMV.*
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## Next Day Tests...
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Downloaded the GGUF model that someone quantized... And... nope. No.
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**Do not use model.**
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* Sao10K/Fimbulvetr-11B-v2
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: FimbMagic
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layer_range: [0, 13]
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- sources:
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- model: FimbMagic
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layer_range: [8, 13]
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- sources:
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- model: FimbMagic
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layer_range: [12, 36]
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- sources:
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- model: FimbMagic
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layer_range: [12, 36]
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- sources:
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- model: FimbMagic
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layer_range: [36, 48]
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- sources:
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- model: FimbMagic
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layer_range: [36, 48]
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merge_method: passthrough
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dtype: bfloat16
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```
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### Additional Notes
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Fimbulvetr 11B is still a very good model. This model is for extreme trailblazers who wants to test stuff!
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Eval results? Don't bother.
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Last one before I sleep: *I'm so sorry Sao10K...*
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