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@@ -19,7 +19,7 @@ The goal was to make a "mid" sized model like Meta has released in the past and
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  The model was finetuned on **8192 context length** and is likely reliable using RoPE up to 32k.
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- It still cannot do math reliably; neither can Llama-3-8B, and in my tests only Llama-3-70B passes simple arithmetic, but it a better storywriter/RP than Llama-3-8B from some side by side testing I conducted.
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  Further finetuning this model or finetuning the [base model](https://huggingface.co/elinas/Llama-3-13B-Instruct) on more samples is encouraged.
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@@ -94,8 +94,10 @@ wandb: train_steps_per_second 0.078
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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- ## Evaluations
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  TBD - submitted
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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
 
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  The model was finetuned on **8192 context length** and is likely reliable using RoPE up to 32k.
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+ It still cannot do math reliably; neither can Llama-3-8B, and in my tests only Llama-3-70B passes basic arithmetic, but it a better storywriter/RP than Llama-3-8B from some side by side testing I conducted.
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  Further finetuning this model or finetuning the [base model](https://huggingface.co/elinas/Llama-3-13B-Instruct) on more samples is encouraged.
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
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+ ## Model Evaluation
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  TBD - submitted
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+ If you have any questions or comments on the model, feel free to open a discussion in the community tab.
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  [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)