metadata

base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - gguf
  - Roblox
  - Luau
license: apache-2.0
language:
  - en

🤖 Which quant is right for you?

Q4: This model should be used on edge devices like phones or older laptops due to its compact size, quality is okay but fully usable.
Q5: This model should be used on most medium range devices like a rtx 2070 super, good quality and fast responses.
Q8: This model should be used on most modern devices Responses are very high quality, but its slower than q5.
F16: This model should be used for testing and evaluating the model, server GPU needed to run it quickly.

Things you should be aware of when using PGAM models (Pinkstack General Accuracy Models) 🤖

This PGAM is based on Meta Llama 3.1 8B which we've given extra roblox LuaU training parameters so it would have similar outputs to the roblox ai documentation assistant, We trained using this dataset. Which is based on Roblox/luau_corpus

To use this model, you must use a service which supports the GGUF file format. Additionaly, this is the Prompt it uses the llama-3.1 template.

Highly recommended to use with a system prompt.

Extra information

Developed by: Pinkstack
License: apache-2.0
Finetuned from model : unsloth/meta-llama-3.1-8b-instruct-bnb-4bit

This model was trained using Unsloth and Huggingface's TRL library.

Used this model? Don't forget to leave a like :)