BlinkDL / LM-Trick-QuestionsLinks
Here we collect trick questions and failed tasks for open source LLMs to improve them.
☆32Updated 2 years ago
Alternatives and similar repositories for LM-Trick-Questions
Users that are interested in LM-Trick-Questions are comparing it to the libraries listed below
Sorting:
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆50Updated 2 years ago
- Explorations into adversarial losses on top of autoregressive loss for language modeling☆41Updated last month
- ☆106Updated last year
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆102Updated last year
- Here we will test various linear attention designs.☆62Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- Structural Pruning for LLaMA☆54Updated 2 years ago
- Let us make Psychohistory (as in Asimov) a reality, and accessible to everyone. Useful for LLM grounding and games / fiction / business /…☆40Updated 2 years ago
- Implementation of the Mamba SSM with hf_integration.☆55Updated last year
- Griffin MQA + Hawk Linear RNN Hybrid☆88Updated last year
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆123Updated last year
- SparseGPT + GPTQ Compression of LLMs like LLaMa, OPT, Pythia☆42Updated 2 years ago
- RWKV model implementation☆37Updated 2 years ago
- ☆34Updated last year
- Demonstration that finetuning RoPE model on larger sequences than the pre-trained model adapts the model context limit☆63Updated 2 years ago
- Tools for content datamining and NLP at scale☆44Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated 8 months ago
- Contextual Position Encoding but with some custom CUDA Kernels https://arxiv.org/abs/2405.18719☆22Updated last year
- ☆32Updated last year
- ☆20Updated last year
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆40Updated 2 years ago
- Un-*** 50 billions multimodality dataset☆23Updated 3 years ago
- [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…☆104Updated last year
- DPO, but faster 🚀☆47Updated last year
- HGRN2: Gated Linear RNNs with State Expansion☆56Updated last year
- [ICLR 2023] Official implementation of Transnormer in our ICLR 2023 paper - Toeplitz Neural Network for Sequence Modeling☆81Updated last year
- BFloat16 Fused Adam Operator for PyTorch☆16Updated last year
- Implementation of a Light Recurrent Unit in Pytorch☆49Updated last year
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- CUDA implementation of autoregressive linear attention, with all the latest research findings☆46Updated 2 years ago