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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
LLM that combines the principles of wizardLM and vicunaLM
| Date | Stars |
|---|---|
| 2026-07-31 | 716 |
| 2026-08-03 | 716 |
| 2026-08-06 | 716 |
Today
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Momentum
0.0
growth rate 0.00%/day
<p align="center" width="100%"> <img src="https://user-images.githubusercontent.com/21379657/235832523-0d5656e3-fbbc-48f1-becb-0c3fe22ade0b.png" alt="KoVicuna icon" style="width: 200px; height:200px; display: block; margin: auto; border-radius: 50%;"> </p> ## Update Logs - 2023.5.31: TheBloke has created a [🤗Wizard-Vicuna-30B-Uncensored-GGML](https://huggingface.co/TheBloke/Wizard-Vicuna-30B-Uncensored-GGML) model for us! - 2023.5.31: TheBloke has created a [🤗Wizard-Vicuna-30B-Uncensored-fp16](https://huggingface.co/TheBloke/Wizard-Vicuna-30B-Uncensored-fp16) model for us! - 2023.5.31: TheBloke has created a [🤗Wizard-Vicuna-30B-Uncensored-GPTQ](https://huggingface.co/TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ) model for us! - 2023.5.30: ehartford has created a [🤗Wizard-Vicuna-30B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored) model for us! - 2023.5.20: TheBloke has created a [🤗Wizard-Vicuna-7B-Uncensored-GGML](https://huggingface.co/TheBloke/Wizard-Vicuna-7B-Uncensored-GGML) model for us! - 2023.5.20: TheBloke has created a [🤗Wizard-Vicuna-13B-Uncensored-GGML](https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-GGML) model for us! - 2023.5.18: ehartford has created a [🤗Wizard-Vicuna-7B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-7B-Uncensored) model for us! - 2023.5.13: ehartford has created a [🤗Wizard-Vicuna-13B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-13B-Uncensored) model for us! - 2023.5.5: TheBloke has created a [🤗wizard-vicuna-13B-HF](https://huggingface.co/TheBloke/wizard-vicuna-13B-HF) version for us! - 2023.5.5: TheBloke has created a [🤗wizard-vicuna-13B-GPTQ](https://huggingface.co/TheBloke/wizard-vicuna-13B-GPTQ) version for us! - 2023.5.5: TheBloke has created a [🤗WizardVicuna 13B GGML](https://huggingface.co/TheBloke/wizard-vicuna-13B-GGML) version for us! - 2023.5.4: We are releasing the [🤗WizardVicuna 13B](https://huggingface.co/junelee/wizard-vicuna-13b) model. - 2023.5.3: We are releasing the [🤗WizardVicuna 70K conversation](https://huggingface.co/datasets/junelee/wizard_vicuna_70k) dataset. --- # WizardVicunaLM ### Wizard's dataset + ChatGPT's conversation extension + Vicuna's tuning method I am a big fan of the ideas behind WizardLM and VicunaLM. I particularly like the idea of WizardLM handling the dataset itself more deeply and broadly, as well as VicunaLM overcoming the limitations of single-turn conversations by introducing multi-round conversations. As a result, I combined these two ideas to create WizardVicunaLM. This project is highly experimental and designed for proof of concept, not for actual usage. ## Benchmark ### Approximately 7% performance improvement over VicunaLM  ### Detail gptordie The questions presented here are not from rigorous tests, but rather, I asked a few questions and requested GPT-4 to score them. The models compared were ChatGPT 3.5, WizardVicunaLM, VicunaLM, and WizardLM, in that order. | | gpt3.5 | wizard-vicuna-13b | vicuna-13b | wizard-7b | link | |-----|--------|-------------------|------------|-----------|----------| | Q1 | 95 | 90 | 85 | 88 | [link](https://sharegpt.com/c/YdhIlby) | | Q2 | 95 | 97 | 90 | 89 | [link](https://sharegpt.com/c/YOqOV4g) | | Q3 | 85 | 90 | 80 | 65 | [link](https://sharegpt.com/c/uDmrcL9) | | Q4 | 90 | 85 | 80 | 75 | [link](https://sharegpt.com/c/XBbK5MZ) | | Q5 | 90 | 85 | 80 | 75 | [link](https://sharegpt.com/c/AQ5tgQX) | | Q6 | 92 | 85 | 87 | 88 | [link](https://sharegpt.com/c/eVYwfIr) | | Q7 | 95 | 90 | 85 | 92 | [link](https://sharegpt.com/c/Kqyeub4) | | Q8 | 90 | 85 | 75
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Ikko Eltociear Ashimine · Japan
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:efd2c0fbebfb23ae, llm:Repository description: 'LLM that combines the principles of wizardLM and vicunaLM' (no topics, no README).
matched fp:efd2c0fbebfb23ae, llm:Repository description: 'LLM that combines the principles of wizardLM and vicunaLM' (no topics, no README).
matched fp:efd2c0fbebfb23ae, llm:Repository description: 'LLM that combines the principles of wizardLM and vicunaLM' (no topics, no README).