PaK-Stocks
| gpt-llm-trainer | PaK-Stocks | |
|---|---|---|
| 4 | 6 | |
| 3,825 | 3 | |
| - | - | |
| 5.4 | 5.3 | |
| about 2 months ago | 3 months ago | |
| Jupyter Notebook | Python | |
| MIT License | Apache License 2.0 |
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gpt-llm-trainer
- FLaNK Stack Weekly 06 Nov 2023
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Show HN: Fine-tune your own Llama 2 to replace GPT-3.5/4
Very nice, thanks!
Check out what Matt Shumer put together as well: https://github.com/mshumer/gpt-llm-trainer.
I have used his trainer for auto distillation of GPT-4 into GPT3.5 fine tunes, but plan to do the same for Llama as well.
Cheers!
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[D] Anyone tried gpt-llm-trainer?
Hey guys, so I stumbled upon this Linkedin post, this guy was showing a jupyter notebook on google colab and was explaining step by step how to train your own model to accomplish very specific tasks, and I believe the base model he was using Llama 2 7B Fine tuning version. This is the github link: https://github.com/mshumer/gpt-llm-trainer
- GPT-LLM-Trainer
PaK-Stocks
What are some alternatives?
axolotl - Go ahead and axolotl questions
PyMISP - Python library using the MISP Rest API
OpenPipe - Turn expensive prompts into cheap fine-tuned models
FLaNK-Ice - Apache Iceberg - Cloud Data Lakehouse
Llama-2-Onnx
super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
trieve - All-in-one infrastructure for building search, recommendations, and RAG. Trieve combines search language models with tools for tuning ranking and relevance.
autollm - Ship RAG based LLM web apps in seconds.
open_model_zoo - Pre-trained Deep Learning models and demos (high quality and extremely fast)
CoC2023 - Community over Code, Apache NiFi, Apache Kafka, Apache Flink, Python, GTFS, Transit, Open Source, Open Data
vllm - A high-throughput and memory-efficient inference and serving engine for LLMs