RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Aika-7B - GGUF
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- Model creator: https://huggingface.co/sethuiyer/
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- Original model: https://huggingface.co/sethuiyer/Aika-7B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Aika-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q2_K.gguf) | Q2_K | 2.53GB |
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| [Aika-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
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| [Aika-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |
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| [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 |
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| [Aika-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |
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| [Aika-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q3_K.gguf) | Q3_K | 3.28GB |
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| [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 |
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| [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 |
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| [Aika-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
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| [Aika-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_0.gguf) | Q4_0 | 3.83GB |
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| [Aika-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
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| [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 |
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| [Aika-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_K.gguf) | Q4_K | 4.07GB |
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| [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 |
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| [Aika-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q4_1.gguf) | Q4_1 | 4.24GB |
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| [Aika-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_0.gguf) | Q5_0 | 4.65GB |
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| [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 |
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| [Aika-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_K.gguf) | Q5_K | 4.78GB |
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| [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 |
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| [Aika-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q5_1.gguf) | Q5_1 | 5.07GB |
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| [Aika-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q6_K.gguf) | Q6_K | 5.53GB |
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| [Aika-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/sethuiyer_-_Aika-7B-gguf/blob/main/Aika-7B.Q8_0.gguf) | Q8_0 | 7.17GB |
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Original model description:
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---
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language:
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- en
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license: cc
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library_name: transformers
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tags:
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- mergekit
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- merge
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datasets:
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- Anthropic/hh-rlhf
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base_model:
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- SanjiWatsuki/Silicon-Maid-7B
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- Guilherme34/Samantha-v2
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- jan-hq/stealth-v1.3
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- mitultiwari/mistral-7B-instruct-dpo
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- senseable/WestLake-7B-v2
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model-index:
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- name: sethuiyer/Aika-7B
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 65.36
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 81.49
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 53.91
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 51.22
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 77.74
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 25.78
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
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name: Open LLM Leaderboard
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---
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# Aika-7B
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<p align="center">
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<img src="https://huggingface.co/sethuiyer/Aika-7B/resolve/main/aika.webp" height="128px" alt="Aika">
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</p>
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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.
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### Models Merged
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The following models were included in the merge:
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* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B)
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* [Guilherme34/Samantha-v2](https://huggingface.co/Guilherme34/Samantha-v2)
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* [jan-hq/stealth-v1.3](https://huggingface.co/jan-hq/stealth-v1.3)
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2)
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The base model is Mistral-7Bv0.1 fine tuned on [Anthropic/hh-rlhf](https://huggingface.co/datasets/Anthropic/hh-rlhf).
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### Why?
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- **Base model tuned on Anthropic RLHF dataset**: Safe AI as a base model, to balance the uncensored model below.
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- **Silicon-Maid-7B**: Boasts excellent multi-turn conversational skills and logical coherence, ensuring smooth interactions.
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- **Samantha-V2**: Offers empathy and human-like responses, equipped with programmed "self-awareness" for a more personalized experience.
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- **Stealth-V1.3**: Known for enhancing performance in merges when integrated as a component, optimizing Aika's functionality.
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- **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.
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Combine them all
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![img](https://huggingface.co/sethuiyer/Aika-7B/resolve/main/hoho.webp)
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[Source](https://powerpuffgirls.fandom.com/wiki/The_Powerpuff_Girls_theme_song?file=Professor_Utonium_Mixing_Stew.png)
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You get Aika - a considerate, personal digital assistant.
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### Configuration
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Please check [mergekit_config.yml](https://huggingface.co/sethuiyer/Aika-7B/blob/main/mergekit_config.yml) for the merge config.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sethuiyer__Aika-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |59.25|
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|AI2 Reasoning Challenge (25-Shot)|65.36|
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|HellaSwag (10-Shot) |81.49|
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|MMLU (5-Shot) |53.91|
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|TruthfulQA (0-shot) |51.22|
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|Winogrande (5-shot) |77.74|
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|GSM8k (5-shot) |25.78|
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