Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+---
+<!-- header start -->
+<!-- 200823 -->
+<div style="width: auto; margin-left: auto; margin-right: auto">
+<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner" style="width: 100%; min-width: 400px; display: block; margin: auto;">
+</div>
+
+<p align="center">
+    <a href="https://jan.ai/">Jan</a> 
+    - <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
+</p>
+<!-- header end -->
+
+# Model Description
+This model uses the `SLERP` method to merge [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) with 2 best models in 12th Dec on [OpenLLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard):
+1. [v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
+2. [go-bruins-v2](https://huggingface.co/rwitz/go-bruins-v2)
+
+- base model: [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+
+The yaml config file for this model is here:
+
+```yaml
+slices:
+  - sources:
+      - model: AIDC-ai-business/Marcoroni-7B-v3
+        layer_range: [0, 32]
+      - model: rwitz/go-bruins-v2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+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
+```
+
+# 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
+
+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)