VectorInstitute / vector-inference
Efficient LLM inference on Slurm clusters using vLLM.
☆43Updated this week
Alternatives and similar repositories for vector-inference:
Users that are interested in vector-inference are comparing it to the libraries listed below
- LLM finetuning in resource-constrained environments.☆42Updated 6 months ago
- Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"☆66Updated 2 months ago
- nanoGPT-like codebase for LLM training☆83Updated this week
- A MAD laboratory to improve AI architecture designs 🧪☆102Updated last month
- The simplest, fastest repository for training/finetuning medium-sized GPTs.☆90Updated 2 months ago
- Steering vectors for transformer language models in Pytorch / Huggingface☆78Updated last month
- ☆115Updated this week
- Sparse and discrete interpretability tool for neural networks☆58Updated 11 months ago
- Understand and test language model architectures on synthetic tasks.☆175Updated this week
- Discovering Data-driven Hypotheses in the Wild☆51Updated 2 months ago
- A library for efficient patching and automatic circuit discovery.☆46Updated last month
- datasets from the paper "Towards Understanding Sycophancy in Language Models"☆66Updated last year
- ☆135Updated this week
- ☆37Updated 9 months ago
- CausalGym: Benchmarking causal interpretability methods on linguistic tasks☆40Updated last month
- ☆51Updated 7 months ago
- Open source replication of Anthropic's Crosscoders for Model Diffing☆28Updated 2 months ago
- Language models scale reliably with over-training and on downstream tasks☆96Updated 9 months ago
- ☆12Updated 10 months ago
- PyTorch library for Active Fine-Tuning☆52Updated last week
- ☆72Updated 8 months ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆64Updated 5 months ago
- LLM-Merging: Building LLMs Efficiently through Merging☆184Updated 3 months ago
- Supercharge huggingface transformers with model parallelism.☆76Updated 3 months ago
- Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature☆120Updated 5 months ago
- ☆82Updated 11 months ago
- ☆41Updated this week
- Official implementation of "BERTs are Generative In-Context Learners"☆23Updated 7 months ago
- Reproducible, flexible LLM evaluations☆118Updated last month
- A fast implementation of T5/UL2 in PyTorch using Flash Attention☆75Updated this week