license, library_name, tags, base_model, model-index

license	library_name	tags	base_model	model-index
other	transformers	mergekit merge	Test157t/Pasta-Lake-7b Test157t/Prima-LelantaclesV4-7b-16k	name results Prima-LelantaclesV5-7b task dataset metrics source type name text-generation Text Generation name type config split args AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test num_few_shot 25 type value name acc_norm 70.65 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type split args HellaSwag (10-Shot) hellaswag validation num_few_shot 10 type value name acc_norm 87.87 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args MMLU (5-Shot) cais/mmlu all test num_few_shot 5 type value name acc 64.52 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args TruthfulQA (0-shot) truthful_qa multiple_choice validation num_few_shot 0 type value mc2 68.26 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args Winogrande (5-shot) winogrande winogrande_xl validation num_few_shot 5 type value name acc 82.4 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b Open LLM Leaderboard task dataset metrics source type name text-generation Text Generation name type config split args GSM8k (5-shot) gsm8k main test num_few_shot 5 type value name acc 64.82 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChaoticNeutrals/Prima-LelantaclesV5-7b Open LLM Leaderboard

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:

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