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README.md
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---
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license: cc-by-nc-4.0
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base_model_relation: quantized
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quantized_by: Quant-Cartel
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base_model: knifeayumu/Behemoth-v1.1-Magnum-v4-123B
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---
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```
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PROUDLY PRESENTS
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```
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# rAIfle/Behemoth-v1.1-Magnum-v4-123B-exl2-longcal
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Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.
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Branches:
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- `main` -- `measurement.json`
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- 8.0b8h -- 8.0bpw, 8bit lm_head
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- 6.0b6h -- 6.0bpw, 6bit lm_head
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- 5.0b6h -- 5.0bpw, 6bit lm_head
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- 4.25b6h -- 4.25bpw, 6bit lm_head
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- 4.0b6h -- 4.0bpw, 6bit lm_head
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- 3.0b6h -- 3.0bpw, 6bit lm_head
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- 2.25b6h -- 2.25bpw, 6bit lm_head
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Original model link: [knifeayumu/Behemoth-v1.1-Magnum-v4-123B](https://huggingface.co/knifeayumu/Behemoth-v1.1-Magnum-v4-123B)
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Original model README below.
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-----
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# The Drummer becomes hornier
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Recipe based on [MarsupialAI/Monstral-123B](https://huggingface.co/MarsupialAI/Monstral-123B) but uses [TheDrummer/Behemoth-123B-v1.1](https://huggingface.co/TheDrummer/Behemoth-123B-v1.1) as the base.
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This is a merge of pre-trained language models created using [mergekit](https://github.com/arcee-ai/mergekit).
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GGUF Quants:
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- GGUF (static): [mradermacher/Behemoth-v1.1-Magnum-v4-123B-GGUF](https://huggingface.co/mradermacher/Behemoth-v1.1-Magnum-v4-123B-GGUF)
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- GGUF (weighted/imatrix): [mradermacher/Behemoth-v1.1-Magnum-v4-123B-i1-GGUF](https://huggingface.co/mradermacher/Behemoth-v1.1-Magnum-v4-123B-i1-GGUF)
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Thank you mradermacher for honoring my request.
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [anthracite-org/magnum-v4-123b](https://huggingface.co/anthracite-org/magnum-v4-123b)
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* [TheDrummer/Behemoth-123B-v1.1](https://huggingface.co/TheDrummer/Behemoth-123B-v1.1)
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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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models:
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- model: TheDrummer/Behemoth-123B-v1.1
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- model: anthracite-org/magnum-v4-123b
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merge_method: slerp
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base_model: TheDrummer/Behemoth-123B-v1.1
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parameters:
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t: [0.1, 0.3, 0.6, 0.3, 0.1]
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dtype: float16
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```
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