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README.md

@@ -1,4 +1,6 @@
+
 ---
+
 library_name: transformers
 license: llama2
 datasets:
@@ -6,26 +8,34 @@ datasets:
 - microsoft/orca-math-word-problems-200k
 - m-a-p/CodeFeedback-Filtered-Instruction
 - anon8231489123/ShareGPT_Vicuna_unfiltered
-base_model: abacusai/Llama-3-Smaug-8B
-pipeline_tag: text-generation
+
 ---
 
-# Llama-3-Smaug-8B-GGUF
+[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)
 
-- This is quantized version of [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B) created using llama.cpp
 
+# QuantFactory/Llama-3-Smaug-8B-GGUF
+This is quantized version of [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B) created using llama.cpp
 
+# Original Model Card
 
-### 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](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
+# 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](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
+[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
 
@@ -36,22 +46,22 @@ This model was built using the Smaug recipe  for improving performance on real w
                    score
 model             turn
 Llama-3-Smaug-8B 1   8.77500
-Meta-Llama-3-8B-Instruct 1   8.1
+Meta-Llama-3-8B-Instruct 1   8.31250
 ########## Second turn ##########
                    score
 model             turn
-Meta-Llama-3-8B-Instruct 2   8.2125
+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 8.15625
+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 | 8.1 |  8.21 | 8.16 |
+| 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.
+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.