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PROUDLY PRESENTS

Behemoth-v1.1-Magnum-v4-123B-exl2-longcal

Quantized using 115 rows of 8192 tokens from the default ExLlamav2-calibration dataset.

Branches:

main -- measurement.json
8.0b8h -- 8.0bpw, 8bit lm_head
6.0b6h -- 6.0bpw, 6bit lm_head
5.0b6h -- 5.0bpw, 6bit lm_head
4.25b6h -- 4.25bpw, 6bit lm_head
4.0b6h -- 4.0bpw, 6bit lm_head
3.0b6h -- 3.0bpw, 6bit lm_head
2.25b6h -- 2.25bpw, 6bit lm_head

Original model link: knifeayumu/Behemoth-v1.1-Magnum-v4-123B

Original model README below.

The Drummer becomes hornier

Recipe based on MarsupialAI/Monstral-123B but uses TheDrummer/Behemoth-123B-v1.1 as the base.

This is a merge of pre-trained language models created using mergekit.

GGUF Quants:

GGUF (static): mradermacher/Behemoth-v1.1-Magnum-v4-123B-GGUF
GGUF (weighted/imatrix): mradermacher/Behemoth-v1.1-Magnum-v4-123B-i1-GGUF

Thank you mradermacher for honoring my request.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: TheDrummer/Behemoth-123B-v1.1
  - model: anthracite-org/magnum-v4-123b
merge_method: slerp
base_model: TheDrummer/Behemoth-123B-v1.1
parameters:
  t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: float16