mergekit
merge base_model:
vicgalle/NeuralBeagle-11B
jeonsworld/CarbonVillain-en-10.7B-v4 model-index:
name: CarbonBeagle-11B results:
- task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
  - type: acc_norm value: 71.84 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
  - type: acc_norm value: 88.93 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
  - type: acc value: 66.62 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
  - type: mc2 value: 69.43 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
  - type: acc value: 84.06 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard
- task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
  - type: acc value: 66.94 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vicgalle/CarbonBeagle-11B name: Open LLM Leaderboard

CarbonBeagle-11B

An experiment in merging models of different architectures and sizes. Here are the steps:

Upscale mlabonne/NeuralBeagle14-7B to vicgalle/franken-Beagle-11B.
DPO-tune vicgalle/franken-Beagle-11B to vicgalle/NeuralBeagle-11B.
Merge vicgalle/NeuralBeagle-11B and jeonsworld/CarbonVillain-en-10.7B-v4.

Merge Details

Merge Method

This model was merged using the linear merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
    - model: jeonsworld/CarbonVillain-en-10.7B-v4
      parameters:
        weight: 1.0
    - model: vicgalle/NeuralBeagle-11B
      parameters:
        weight: 0.5
merge_method: linear

dtype: float16

Evaluations

At the time of its creation (21-01-2024), it is the best model in the Open LLM Leaderboard for its size class (10.7B-11B), and also 13B models:

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.64
AI2 Reasoning Challenge (25-Shot)	71.84
HellaSwag (10-Shot)	88.93
MMLU (5-Shot)	66.62
TruthfulQA (0-shot)	69.43
Winogrande (5-shot)	84.06
GSM8k (5-shot)	66.94

RichardErkhov/vicgalle_-_CarbonBeagle-11B-4bits

Original model description: