transformers safetensors text-generation-inference unsloth mistral GEB en dataset:maldv/crabcanon base_model:cgato/Thespis-CurtainCall-7b-v0.3 license:cc-by-nc-4.0 endpoints_compatible region:us
---
language:
- en
license: cc-by-nc-4.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- GEB
base_model: cgato/Thespis-CurtainCall-7b-v0.3
datasets:
- maldv/crabcanon
---

# SHRDFU-7b LoRA

- **Developed by:** maldv
- **License:** cc-by-nc-4.0
- **Finetuned from model:** cgato/Thespis-CurtainCall-7b-v0.3
- **Methodology:** Targeting attention layers with peft to condition; then small full layer tuning; extending intelligence and problem solving w/ crabcanon

As I work on understanding how to layer information in to the model, this dataset proved to be very interesting.  It did show that it is very easy to overbake with inadequate sample size; but it *sure thinks* it is a smart model now.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="50"/>](https://github.com/unslothai/unsloth)