license, tags, model-index

license	tags	model-index
cc-by-nc-4.0	merge	name results Lonepino-11B 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 68.26 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B 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 84.57 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B 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 63.76 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B 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 63.45 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B 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 78.93 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B 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 61.64 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/Lonepino-11B Open LLM Leaderboard

Description

This repo contains bf16 files of Lonepino-11B. Just a normal model.

Model used

• Intel/neural-chat-7b-v3-3-Slerp
• NeverSleep/Noromaid-7b-v0.2
• chargoddard/loyal-piano-m7-cdpo
• maywell/PiVoT-0.1-Starling-LM-RP

The secret sauce

neural-maid-11B:

slices:
  - sources:
    - model: Intel/neural-chat-7b-v3-3-Slerp
      layer_range: [0, 24]
  - sources:
    - model: NeverSleep/Noromaid-7b-v0.2
      layer_range: [8, 32]

merge_method: passthrough
dtype: bfloat16

loyal-PiVoT-11B:

slices:
  - sources:
    - model: chargoddard/loyal-piano-m7-cdpo
      layer_range: [0, 24]
  - sources:
    - model: maywell/PiVoT-0.1-Starling-LM-RP
      layer_range: [8, 32]

merge_method: passthrough
dtype: bfloat16

Lonepino-11B:

slices:
  - sources:
      - model: "./neural-maid-11B"
        layer_range: [0, 48]
      - model: "./loyal-PiVoT-11B"
        layer_range: [0, 48]
merge_method: slerp
base_model: "./neural-maid-11B"
parameters:
  t:
    - value: 0.4
dtype: bfloat16

Prompt template

Alpaca. Or chatml. Or any you like.

=w=

I use mergekit for all the manipulation told here.

Thanks to the Undi95 for the original 11B mistral merge recipe.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	70.10
AI2 Reasoning Challenge (25-Shot)	68.26
HellaSwag (10-Shot)	84.57
MMLU (5-Shot)	63.76
TruthfulQA (0-shot)	63.45
Winogrande (5-shot)	78.93
GSM8k (5-shot)	61.64