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---
license: other
library_name: transformers
tags:
- mergekit
- merge
- mistral
- not-for-all-audiences
base_model:
- ABX-AI/Cerebral-Infinity-7B
- ABX-AI/Starfinite-Laymospice-v2-7B
model-index:
- name: Quantum-Citrus-9B
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: 65.19
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ABX-AI/Quantum-Citrus-9B
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: 84.75
name: normalized accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ABX-AI/Quantum-Citrus-9B
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: 64.58
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ABX-AI/Quantum-Citrus-9B
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: 55.96
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ABX-AI/Quantum-Citrus-9B
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: 79.4
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ABX-AI/Quantum-Citrus-9B
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: 50.57
name: accuracy
source:
url: https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=ABX-AI/Quantum-Citrus-9B
name: Open LLM Leaderboard
---
# Quantum-Citrus-9B
This merge is another attempt at making and intelligent, refined and unaligned model.
Based on my tests so far, it has accomplished the goals, and I am continuing to experiment with my interactions with it.
It includes previous merges of Starling, Cerebrum, LemonadeRP, InfinityRP, and deep down has a base of layla v0.1, as I am not that happy with the result form using v0.2.
The model is intended for fictional storytelling and roleplaying and may not be intended for all audences.
[GGUF / IQ / Imatrix](https://huggingface.co./ABX-AI/Quantum-Citrus-9B-GGUF-IQ-Imatrix)
## Merge Details
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* ABX-AI/Starfinite-Laymospice-v2-7B
* ABX-AI/Cerebral-Infinity-7B
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: ABX-AI/Cerebral-Infinity-7B
layer_range: [0, 20]
- sources:
- model: ABX-AI/Starfinite-Laymospice-v2-7B
layer_range: [12, 32]
merge_method: passthrough
dtype: float16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_ABX-AI__Quantum-Citrus-9B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |66.74|
|AI2 Reasoning Challenge (25-Shot)|65.19|
|HellaSwag (10-Shot) |84.75|
|MMLU (5-Shot) |64.58|
|TruthfulQA (0-shot) |55.96|
|Winogrande (5-shot) |79.40|
|GSM8k (5-shot) |50.57|
|