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

Aika

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 ![img](https://huggingface.co/sethuiyer/Aika-7B/resolve/main/hoho.webp) [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|