Update: Getting suprisingly good results at 16384 context, which is unexpected given this context pool should remain untouched from other mistral models working around 8192.

Thanks to @Lewdiculus for the Quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV5-7b-GGUF

This model was merged using the DARE TIES merge method.

The following models were included in the merge:

Test157t/Pasta-Lake-7b + Test157t/Prima-LelantaclesV4-7b-16k

Configuration

The following YAML configuration was used to produce this model:

yaml

merge_method: dare_ties
base_model: Test157t/Prima-LelantaclesV4-7b-16k
parameters:
  normalize: true
models:
  - model: Test157t/Pasta-Lake-7b
    parameters:
      weight: 1
  - model: Test157t/Prima-LelantaclesV4-7b-16k
    parameters:
      weight: 1
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.09
AI2 Reasoning Challenge (25-Shot)	70.65
HellaSwag (10-Shot)	87.87
MMLU (5-Shot)	64.52
TruthfulQA (0-shot)	68.26
Winogrande (5-shot)	82.40
GSM8k (5-shot)	64.82

ChaoticNeutrals/Prima-LelantaclesV5-7b

Configuration

Open LLM Leaderboard Evaluation Results

ChaoticNeutrals/
Prima-LelantaclesV5-7b