Pinned Repositories
alignment-handbook
Robust recipes to align language models with human and AI preferences
AutoAcadem
Using agents to help us to read and summarize the papers
axolotl
Go ahead and axolotl questions
Chinese_English_Coreference_Resolution
Chinese and english coreference resolution based on SpanBERT and BERT
coding_model_by_hands
手写模型，从零开始
daze_utils
the utils usually used
Experiments
some expriments will be checked
FileBridge
transfer files in different palteforms
human_eval
Run evaluation on LLMs using human-eval benchmark
RaspberryPi-yolov5-object-detection
使用树莓派结合yolov5实现目标检测
learner-crapy's Repositories
learner-crapy/RaspberryPi-yolov5-object-detection
使用树莓派结合yolov5实现目标检测
learner-crapy/Chinese_English_Coreference_Resolution
Chinese and english coreference resolution based on SpanBERT and BERT
learner-crapy/coding_model_by_hands
手写模型，从零开始
learner-crapy/alignment-handbook
Robust recipes to align language models with human and AI preferences
learner-crapy/AutoAcadem
Using agents to help us to read and summarize the papers
learner-crapy/axolotl
Go ahead and axolotl questions
learner-crapy/daze_utils
the utils usually used
learner-crapy/Experiments
some expriments will be checked
learner-crapy/FileBridge
transfer files in different palteforms
learner-crapy/human_eval
Run evaluation on LLMs using human-eval benchmark
learner-crapy/LLaMA-Factory
Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)
learner-crapy/llama-recipes
Examples and recipes for Llama 2 model
learner-crapy/LLMs-FineTuning
The goal to fine tuning llama, mistral, mixtral or other large language models
learner-crapy/lm-evaluation-harness
A framework for few-shot evaluation of language models.
learner-crapy/mistral-src
Reference implementation of Mistral AI 7B v0.1 model.
learner-crapy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
learner-crapy/notebooks
learner-crapy/package_test
this is a project to test the installation in local machine
learner-crapy/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
learner-crapy/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
learner-crapy/Retriever
Retriever-0.1B
learner-crapy/torch_parallel
example of pytorch DistributedDataParallel
learner-crapy/transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!