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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Aika-7B - GGUF
- Model creator: https://huggingface.co/sethuiyer/
- Original model: https://huggingface.co/sethuiyer/Aika-7B/
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [Aika-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q2_K.gguf) | Q2_K | 2.53GB |
| [Aika-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [Aika-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [Aika-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [Aika-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [Aika-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q3_K.gguf) | Q3_K | 3.28GB |
| [Aika-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [Aika-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [Aika-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [Aika-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_0.gguf) | Q4_0 | 3.83GB |
| [Aika-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [Aika-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [Aika-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_K.gguf) | Q4_K | 4.07GB |
| [Aika-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [Aika-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_1.gguf) | Q4_1 | 4.24GB |
| [Aika-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_0.gguf) | Q5_0 | 4.65GB |
| [Aika-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [Aika-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_K.gguf) | Q5_K | 4.78GB |
| [Aika-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [Aika-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_1.gguf) | Q5_1 | 5.07GB |
| [Aika-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q6_K.gguf) | Q6_K | 5.53GB |
| [Aika-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q8_0.gguf) | Q8_0 | 7.17GB |
Original model description:
---
language:
- en
license: cc
library_name: transformers
tags:
- mergekit
- merge
datasets:
- Anthropic/hh-rlhf
base_model:
- SanjiWatsuki/Silicon-Maid-7B
- Guilherme34/Samantha-v2
- jan-hq/stealth-v1.3
- mitultiwari/mistral-7B-instruct-dpo
- senseable/WestLake-7B-v2
model-index:
- name: sethuiyer/Aika-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: 65.36
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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: 81.49
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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: 53.91
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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: 51.22
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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: 77.74
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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: 25.78
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
name: Open LLM Leaderboard
---
# Aika-7B
<p align="center">
<img src="https://huggingface.co/sethuiyer/Aika-7B/resolve/main/aika.webp" height="128px" alt="Aika">
</p>
Aika is a language model constructed using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mitultiwari/mistral-7B-instruct-dpo](https://huggingface.co/mitultiwari/mistral-7B-instruct-dpo) as a base. Aika is designed to interact with users in a way that feels natural and human-like, to solve problems and answer questions with a high degree of accuracy and truthfulness, and to engage in creative and logical tasks with proficiency.
### Models Merged
The following models were included in the merge:
* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
* [Guilherme34/Samantha-v2](https://huggingface.co/Guilherme34/Samantha-v2)
* [jan-hq/stealth-v1.3](https://huggingface.co/jan-hq/stealth-v1.3)
* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
The base model is Mistral-7Bv0.1 fine tuned on [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf).
### Why?
- **Base model tuned on Anthropic RLHF dataset**: Safe AI as a base model, to balance the uncensored model below.
- **Silicon-Maid-7B**: Boasts excellent multi-turn conversational skills and logical coherence, ensuring smooth interactions.
- **Samantha-V2**: Offers empathy and human-like responses, equipped with programmed "self-awareness" for a more personalized experience.
- **Stealth-V1.3**: Known for enhancing performance in merges when integrated as a component, optimizing Aika's functionality.
- **WestLake-7B-V2**: Sets a high benchmark for emotional intelligence (EQ) and excels in creative writing, enhancing Aika's ability to understand and respond to your needs.
Combine them all
[Source](https://powerpuffgirls.fandom.com/wiki/The_Powerpuff_Girls_theme_song?file=Professor_Utonium_Mixing_Stew.png)
You get Aika - a considerate, personal digital assistant.
### Configuration
Please check [mergekit_config.yml](https://huggingface.co/sethuiyer/Aika-7B/blob/main/mergekit_config.yml) for the merge config.
# [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_sethuiyer__Aika-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |59.25|
|AI2 Reasoning Challenge (25-Shot)|65.36|
|HellaSwag (10-Shot) |81.49|
|MMLU (5-Shot) |53.91|
|TruthfulQA (0-shot) |51.22|
|Winogrande (5-shot) |77.74|
|GSM8k (5-shot) |25.78|
|