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---
license: llama3
language:
- en
library_name: transformers
tags:
- code
- lizardcoder
- llama3
- llama
- merge
---
# GGUF!
This is the gguf version of [Walmart-the-bag/Llama-3-LizardCoder-8B](https://huggingface.co/Walmart-the-bag/Llama-3-LizardCoder-8B). It contains every quant available.
# Model Card
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6530994e70a88b63f007324d/_H6JOLV3eKFeUYiLHqHlI.png)
# Llama-3-LizardCoder-8B
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.
[gguf](https://huggingface.co/Walmart-the-bag/LizardCoder-Llama3-8B-GGUF)
## Limitations
- **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.
- **Potential for Censorship:** The model's censorship filters are not comprehensive. There is a possibility of encountering censored code/content.
- **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.
# Merge Config
This model was made possible by this merge yaml.
```yaml
models:
- model: rombodawg/Llama-3-8B-Instruct-Coder
parameters:
weight: 1.0
- model: ajibawa-2023/Code-Llama-3-8B
parameters:
weight: 0.3
- model: meta-llama/Meta-Llama-3-8B-Instruct
parameters:
weight: 0.5
- model: Orenguteng/Llama-3-8B-Lexi-Uncensored
parameters:
weight: 0.8
- model: TheSkullery/llama-3-cat-8b-instruct-v1
parameters:
weight: 0.9
- model: McGill-NLP/Llama-3-8B-Web
parameters:
weight: 0.2
merge_method: linear
dtype: bfloat16
```
## License
i dont really care about this, but here: [Llama3](https://llama.meta.com/llama3/license/)