ABX-AI/Silver-Sun-11B-GGUF-IQ-Imatrix

GGUF / IQ / Imatrix for Silver-Sun-11B

RE-UPLOAD: The configuration was wrong on the previous quantization. Fixed now! All quants are re-uploaded and Q8 is added

Why Importance Matrix?

Importance Matrix, at least based on my testing, has shown to improve the output and performance of "IQ"-type quantizations, where the compression becomes quite heavy. The Imatrix performs a calibration, using a provided dataset. Testing has shown that semi-randomized data can help perserve more important segments as the compression is applied.

Related discussions in Github: [1] [2]

The imatrix.txt file that I used contains general, semi-random data, with some custom kink.

Silver-Sun-11B

I'd like to experiment more with merging 11B, hopefully adding more options of this weight class. This model is good at writing and reasoning, with a preference for more profane NSFW language when the appropriate cards are used. I've been having fun with it so far, although at times it can be a bit blunt, although some may prefer that. It's also highly uncensored.

Works best with Alpaca instruction presets.

Merge Details

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

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• ABX-AI/Solstice-FKL-11B

  A mixture of Sao10K/Solstice-11B-v1 and saishf/Fimbulvetr-Kuro-Lotus-10.7B

• Himitsui/Kaiju-11B

OpenLLM Eval Results

Detailed Results + Failed GSM8K

I had to remove GSM8K from the results and manually re-average the rest. GSM8K failed due to some issue with formatting, which is not experienced during practical usage. By removing the GSM8K score, the average is VERY close to upstage/SOLAR-10.7B-v1.0 (74.20), which would make sense. Feel free to ignore the actual average and use the other scores individually for reference.

Metric	Value
Avg.	74.13
AI2 Reasoning Challenge (25-Shot)	69.80
HellaSwag (10-Shot)	87.91
MMLU (5-Shot)	66.90
TruthfulQA (0-shot)	61.89
Winogrande (5-shot)	84.14

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: ABX-AI/Solstice-FKL-11B
        layer_range: [0, 48]
      - model: Himitsui/Kaiju-11B
        layer_range: [0, 48]
merge_method: slerp
base_model: ABX-AI/Solstice-FKL-11B
parameters:
  t:
    - filter: self_attn
      value: [0.6, 0.7, 0.8, 0.9, 1]
    - filter: mlp
      value: [0.4, 0.3, 0.2, 0.1, 0]
    - value: 0.5
dtype: bfloat16