# bupticybee/FastLoRAChat

<https://repo.masters-masters.com/en/repos/bupticybee/FastLoRAChat>

[Home](https://repo.masters-masters.com/en) › [bupticybee](https://repo.masters-masters.com/en/owners/bupticybee) › [FastLoRAChat](https://repo.masters-masters.com/en/repos/bupticybee/FastLoRAChat)

bupticybee/FastLoRAChat has 123 stars on GitHub. Its RepoMasters card: Prototype tier. Instruct-tune LLaMA on consumer hardware with shareGPT data

| Field | Value |
| --- | --- |
| Owner | [bupticybee](https://repo.masters-masters.com/en/owners/bupticybee) |
| Stars | 123 |
| Forks | 2 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | chatgpt, dataset, large-language-models, llm, lora, nlp, sharegpt |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [bupticybee/FastLoRAChat](https://github.com/bupticybee/FastLoRAChat) |

## Repository

Instruct-tune LLaMA on consumer hardware with shareGPT data

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.