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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+Llama-3-Smaug-8B - bnb 4bits
+- Model creator: https://huggingface.co/abacusai/
+- Original model: https://huggingface.co/abacusai/Llama-3-Smaug-8B/
+
+
+
+
+Original model description:
+---
+library_name: transformers
+license: llama2
+datasets:
+- aqua_rat
+- microsoft/orca-math-word-problems-200k
+- m-a-p/CodeFeedback-Filtered-Instruction
+- anon8231489123/ShareGPT_Vicuna_unfiltered
+---
+
+# Llama-3-Smaug-8B
+
+### Built with Meta Llama 3
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f95cac5f9ba52bbcd7f/OrcJyTaUtD2HxJOPPwNva.png)
+
+This model was built using the Smaug recipe  for improving performance on real world multi-turn conversations applied to 
+[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
+
+### Model Description
+
+- **Developed by:** [Abacus.AI](https://abacus.ai)
+- **License:** https://llama.meta.com/llama3/license/
+- **Finetuned from model:** [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
+
+
+## Evaluation
+
+### MT-Bench
+
+```
+########## First turn ##########
+                   score
+model             turn
+Llama-3-Smaug-8B 1   8.77500
+Meta-Llama-3-8B-Instruct 1   8.31250
+########## Second turn ##########
+                   score
+model             turn
+Meta-Llama-3-8B-Instruct 2   7.8875 
+Llama-3-Smaug-8B 2   7.8875
+########## Average ##########
+                 score
+model
+Llama-3-Smaug-8B  8.331250
+Meta-Llama-3-8B-Instruct 8.10
+```
+
+| Model | First turn | Second Turn | Average |
+| :---- | ---------: | ----------: | ------: |
+| Llama-3-Smaug-8B | 8.78 | 7.89 | 8.33 |
+| Llama-3-8B-Instruct | 8.31 |  7.89 | 8.10 |
+
+This version of Smaug uses new techniques and new data compared to [Smaug-72B](https://huggingface.co/abacusai/Smaug-72B-v0.1), and more information will be released later on. For now, see the previous Smaug paper: https://arxiv.org/abs/2402.13228.
+