--- license: apache-2.0 language: - en ---
Jan banner

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# Model Description This model uses the `Slerp` merge method from 2 models: 1. [v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B) 2. [juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA) - base model: [v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B) The yaml config file for this model is here: ```yaml slices: - sources: - model: v1olet/v1olet_marcoroni-go-bruins-merge-7B layer_range: [0, 32] - model: fblgit/juanako-7b-UNA layer_range: [0, 32] merge_method: slerp base_model: v1olet/v1olet_marcoroni-go-bruins-merge-7B parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 ``` # Run this model You can run this model using [Jan Desktop](https://jan.ai/) on Mac, Windows, or Linux. Jan is an open source, ChatGPT alternative that is: - 💻 **100% offline on your machine**: Your conversations remain confidential, and visible only to you. - 🗂️ **An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time. - 🌐 **OpenAI Compatible**: Local server on port `1337` with OpenAI compatible endpoints - 🌍 **Open Source & Free**: We build in public; check out our [Github](https://github.com/janhq) ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/r7VmEBLGXpPLTu2MImM7S.png) # About Jan Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones. Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life. # Jan Model Merger This is a test project for merging models. # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) Detailed results can be found here. | Metric | Value | |-----------------------|---------------------------| | Avg. | ?| | ARC (25-shot) | ? | | HellaSwag (10-shot) | ? | | MMLU (5-shot) | ?| | TruthfulQA (0-shot) | ? | | Winogrande (5-shot) | ? | | GSM8K (5-shot) | ? | # Acknowlegement - [mergekit](https://github.com/cg123/mergekit) - [DARE](https://github.com/yule-BUAA/MergeLM/blob/main/README.md) - [SLERP](https://github.com/Digitous/LLM-SLERP-Merge) - [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness)