Alternatives and similar repositories for vector-inference

Users that are interested in vector-inference are comparing it to the libraries listed below

• justinchiu / openlogprobs
  Extract full next-token probabilities via language model APIs
  ☆247Updated last year
• VectorInstitute / vectorlm
  LLM finetuning in resource-constrained environments.
  ☆53Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆110Updated 2 weeks ago
• anthropics / toy-models-of-superposition
  Notebooks accompanying Anthropic's "Toy Models of Superposition" paper
  ☆130Updated 3 years ago
• google-deepmind / mishax
  ☆143Updated 2 months ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆95Updated last month
• allenai / fm-cheatsheet
  Website for hosting the Open Foundation Models Cheat Sheet.
  ☆268Updated 6 months ago
• RulinShao / retrieval-scaling
  Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".
  ☆219Updated 3 weeks ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆133Updated 11 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆173Updated 4 months ago
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆205Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆85Updated last year
• hadasah / btm
  ☆76Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆240Updated last month
• probabilistic-inference-scaling / probabilistic-inference-scaling
  ☆52Updated 8 months ago
• allenai / discoverybench
  Discovering Data-driven Hypotheses in the Wild
  ☆118Updated 5 months ago
• callummcdougall / sae_vis
  Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research).
  ☆227Updated 11 months ago
• ARBORproject / arborproject.github.io
  ☆83Updated 8 months ago
• mechanistic-interpretability-grokking / progress-measures-paper
  ☆70Updated 3 years ago
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆277Updated last year
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆194Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆141Updated 4 months ago
• msakarvadia / AttentionLens
  Interpretating the latent space representations of attention head outputs for LLMs
  ☆34Updated last year
• ltgoslo / bert-in-context
  Official implementation of "BERTs are Generative In-Context Learners"
  ☆32Updated 8 months ago
• srush / do-we-need-attention
  ☆166Updated 2 years ago
• KihoPark / LLM_Categorical_Hierarchical_Representations
  ☆111Updated 9 months ago
• llm-efficiency-challenge / neurips_llm_efficiency_challenge
  NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day
  ☆256Updated 2 years ago
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated last year
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆86Updated 3 years ago