Model Card for Kimiko_J
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This is my new Kimiko models, trained with GPT-J for...purpose
Model Details
Model Description
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- Developed by: nRuaif
- Model type: Decoder only
- License: CC BY-NC-SA
- Finetuned from model [optional]: GPT-J
Model Sources [optional]
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- Repository: https://github.com/OpenAccess-AI-Collective/axolotl <img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>
Uses
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Direct Use
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This model is trained on 3k examples of instructions dataset, high quality roleplay, for best result follow this format
<<HUMAN>>
How to do abc
<<AIBOT>>
Here is how
Or with system prompting for roleplay
<<SYSTEM>>
A's Persona:
B's Persona:
Scenario:
Add some instruction here on how you want your RP to go.
Bias, Risks, and Limitations
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All bias of this model come from GPT-J with an exception of NSFW bias.....
Training Details
Training Data
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3000 examples from LIMAERP, LIMA and I sample 1000 good instruction from Airboro
Training Procedure
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Model is trained with 1 L4 from GCP costing a whooping 1USD
Training Hyperparameters
- Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
3 epochs with 0.0002 lr, full 4096 ctx token, LoRA
Speeds, Sizes, Times [optional]
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It takes 5 hours to train this model with xformers enable
[More Information Needed]
[More Information Needed]
Environmental Impact
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: L4 with 12CPUs 48gb ram
- Hours used: 5
- Cloud Provider: GCP
- Compute Region: US
- Carbon Emitted: 0.2KG