Quantization made by Richard Erkhov.
Chunky-Lemon-Cookie-11B - GGUF
- Model creator: https://huggingface.co/FallenMerick/
- Original model: https://huggingface.co/FallenMerick/Chunky-Lemon-Cookie-11B/
Original model description:
license: cc-by-4.0 language: - en base_model: - mistralai/Mistral-7B-v0.1 - SanjiWatsuki/Kunoichi-7B - SanjiWatsuki/Silicon-Maid-7B - KatyTheCutie/LemonadeRP-4.5.3 - Sao10K/Fimbulvetr-11B-v2 library_name: transformers tags: - mergekit - merge - mistral - text-generation - roleplay model-index: - name: Smart-Lemon-Cookie-7B 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: 69.62 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-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: 86.55 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-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: 65.35 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-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: 61.59 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-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: 79.79 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-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: 58.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FallenMerick/Chunky-Lemon-Cookie-11B name: Open LLM Leaderboard
Chunky-Lemon-Cookie-11B
This is a merge of pre-trained language models created using mergekit.
GGUF quants:
- https://huggingface.co/backyardai/Chunky-Lemon-Cookie-11B-GGUF
- https://huggingface.co/mradermacher/Chunky-Lemon-Cookie-11B-GGUF
Merge Details
Merge Method
This model was merged using the following methods:
- passthrough
- task arithmetic
Models Merged
The following models were included in the merge:
- SanjiWatsuki/Kunoichi-7B
- SanjiWatsuki/Silicon-Maid-7B
- KatyTheCutie/LemonadeRP-4.5.3
- Sao10K/Fimbulvetr-11B-v2
- mistralai/Mistral-7B-v0.1
Configuration
The following YAML configurations were used to produce this model:
slices:
- sources:
- model: mistralai/Mistral-7B-v0.1
layer_range: [0, 24]
- sources:
- model: mistralai/Mistral-7B-v0.1
layer_range: [8, 32]
merge_method: passthrough
dtype: float16
name: Mistral-11B
---
slices:
- sources:
- model: SanjiWatsuki/Kunoichi-7B
layer_range: [0, 24]
- sources:
- model: SanjiWatsuki/Silicon-Maid-7B
layer_range: [8, 24]
- sources:
- model: KatyTheCutie/LemonadeRP-4.5.3
layer_range: [24, 32]
merge_method: passthrough
dtype: float16
name: Big-Lemon-Cookie-11B
---
models:
- model: Big-Lemon-Cookie-11B
parameters:
weight: 0.85
- model: Sao10K/Fimbulvetr-11B-v2
parameters:
weight: 0.15
merge_method: task_arithmetic
base_model: Mistral-11B
dtype: float16
name: Chunky-Lemon-Cookie-11B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 70.23 |
| AI2 Reasoning Challenge (25-Shot) | 69.62 |
| HellaSwag (10-Shot) | 86.55 |
| MMLU (5-Shot) | 65.35 |
| TruthfulQA (0-shot) | 61.59 |
| Winogrande (5-shot) | 79.79 |
| GSM8k (5-shot) | 58.45 |