Walmart-the-bag
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README.md
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@@ -18,9 +18,36 @@ This is the gguf version of [Walmart-the-bag/Llama-3-LizardCoder-8B](https://hug
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# Llama-3-LizardCoder-8B
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This is a merge of 6 models that were finetuned on llama3 8b. This has done pretty decent on some coding tasks, for the parameter size.
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## Limitations
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- **Uncertain Accuracy:** As a merged model, the model's responses may not always be accurate. Users should independently verify any outputs before relying on them.
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- **Potential for Censorship:** The model's censorship filters are not comprehensive. There is a possibility of encountering censored code/content.
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## License
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i dont really care about this, but here: [Llama3](https://llama.meta.com/llama3/license/)
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# Llama-3-LizardCoder-8B
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This is a merge of 6 models that were finetuned on llama3 8b. This has done pretty decent on some coding tasks, for the parameter size.
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[gguf](https://huggingface.co/Walmart-the-bag/LizardCoder-Llama3-8B-GGUF)
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## Limitations
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- **Uncertain Accuracy:** As a merged model, the model's responses may not always be accurate. Users should independently verify any outputs before relying on them.
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- **Potential for Censorship:** The model's censorship filters are not comprehensive. There is a possibility of encountering censored code/content.
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- **Not including packages:** If you ask it to code you something, it may accidentally forget to include a package. Tell it to, and create a good prompt. This will be finetuned on to fix it in the future.
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# Merge Config
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This model was made possible by this merge yaml.
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```yaml
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models:
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- model: rombodawg/Llama-3-8B-Instruct-Coder
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parameters:
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weight: 1.0
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- model: ajibawa-2023/Code-Llama-3-8B
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parameters:
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weight: 0.3
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- model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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weight: 0.5
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- model: Orenguteng/Llama-3-8B-Lexi-Uncensored
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parameters:
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weight: 0.8
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- model: TheSkullery/llama-3-cat-8b-instruct-v1
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parameters:
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weight: 0.9
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- model: McGill-NLP/Llama-3-8B-Web
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parameters:
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weight: 0.2
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merge_method: linear
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dtype: bfloat16
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```
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## License
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i dont really care about this, but here: [Llama3](https://llama.meta.com/llama3/license/)
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