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.

image/png

image/jpeg

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:

Configuration

The following YAML configuration was used to produce this model:

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
Downloads last month
88
Safetensors
Model size
7.24B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for ChaoticNeutrals/Prima-LelantaclesV5-7b

Finetuned
(1)
this model
Merges
1 model

Evaluation results