Comments (3)
So, I was cleaning up the bucket and accidentally deleted it 🤦
I updated the readme to only link to the valid huggingface datasources, including a new one that is all GPT-4 (plus a few thousand simple math prompts I was using, to test if it helps prevent the model from degrading its math abilities during fine tuning)
Feel free to use those for now if you wish; I'll see if I can recover the original.
The smaller GPT4 subset fine-tuned model (not publised yet) seems to perform better anyways.
from airoboros.
So, I was cleaning up the bucket and accidentally deleted it 🤦
I updated the readme to only link to the valid huggingface datasources, including a new one that is all GPT-4 (plus a few thousand simple math prompts I was using, to test if it helps prevent the model from degrading its math abilities during fine tuning)
Feel free to use those for now if you wish; I'll see if I can recover the original.
The smaller GPT4 subset fine-tuned model (not publised yet) seems to perform better anyways.
Beautiful, appreciated!
from airoboros.
https://storage.googleapis.com/airoboros-dump/instructions-gpt3.5-turbo-100k.jsonl
from airoboros.
Related Issues (20)
- Requesting some flexibility in topic input HOT 4
- generating clinically related multiple choice question? HOT 1
- How much resource it took to fine tune llama7/13/70b? HOT 1
- Airoboros 2.0 has difficulty with OOC requests. HOT 3
- what is the prompt template? HOT 1
- [SUGGESTION] (for v2.1+) Classifier-free guidance HOT 1
- how to avoid generating "general" instructions? HOT 1
- Question about learning rate and epochs HOT 4
- [Question] How to create instruction datasets based on domain specific information. HOT 2
- [QUALITY] (Ycros Airoboros v1.4.1 L1-33b 16k) - Hallucinated numbers and narrative. HOT 5
- How can I help? HOT 6
- Overview of the LMoe Process HOT 2
- Speculative sampling and Llmoe? HOT 2
- airoboros-c34b-2.1 prompting HOT 3
- Break their nasty spines please or what is the point? Also maybe an improvement in the PS HOT 1
- Finetune in INSTRUCT format
- instructiors -> awareness bug? HOT 1
- Add support to Assistant API so Airoboros can use up-to-date data (via search tool) for creating datasets? HOT 1
- LoraAlpha less then LoraRank HOT 2
- Expanding Instruction Complexity with Evol-instruct-like Approaches?
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