LLM training in simple, raw C/CUDA. Contribute to Amanieu/llm.c development by creating an account on GitHub.
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用 - Llama-Chinese/train/sft/finetune_clm_lora.py at main · LlamaFamily/Llama-Chinese
Stanford Alpaca is an instruction-following language model that is fine-tuned from Meta’s LLaMA model. Inspired by this project, we developed an enhanced methodology to create a custom, domain-specific chatbot. While there are several language models that one could use (including ...
Python code to train ChatGPT on your business data. The code above is rudimentary but serves the purpose. Under the hood, Llama indexes our content and stores it in a “vector index,” which is best suited for comparison searches. An index is ...
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Updating Your Personalized Training Data Our default data is in/root/demo-data/llama_data.json. The current data source is Huatuo, a medical model finetuned using Chinese medical data. Yes, our example is training a family doctor: If you have data in a specific field, you can point...
set_seed, LlamaForCausalLM, MistralForCausalLM, AutoModelForCausalLM, DataCollatorWithPadding, DataCollatorForSeq2Seq, Trainer, TrainingArguments, TrainerState, TrainerControl, ) from transformers.trainer_utils import IntervalStrategy from transformers.trainer_callback import TrainerCallback #...
Building a domain-specific chatbot on question and answer data You can harness the potential of the most powerful language models, such as ChatGPT, Gemini, Llama, etc., and tailor them to your unique business application. Domain-specific chatbots will need to be trained on quality annotated da...
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024) - LLaMA-Factory/src/llamafactory/train/rm/trainer.py at main · hiyouga/LLaMA-Factory
Replacezero3.jsonwithzero3_offload.jsonwhich offloads some parameters to CPU RAM. This slows down the training speed. If you are interested in finetuning LLaVA model to your own task/data, please check outFinetune_Custom_Data.md。