Alternatives and similar repositories for multipack_sampler

Users that are interested in multipack_sampler are comparing it to the libraries listed below

• dwzhu-pku / PoSE
  Positional Skip-wise Training for Efficient Context Window Extension of LLMs to Extremely Length (ICLR 2024)
  ☆202Updated last year
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆126Updated last year
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆257Updated 10 months ago
• huggingface / datablations
  Scaling Data-Constrained Language Models
  ☆334Updated 8 months ago
• jondurbin / bagel
  A bagel, with everything.
  ☆320Updated last year
• kernelmachine / cbtm
  Code repository for the c-BTM paper
  ☆106Updated last year
• kyleliang919 / Long-context-transformers
  Exploring finetuning public checkpoints on filter 8K sequences on Pile
  ☆114Updated 2 years ago
• p-lambda / dsir
  DSIR large-scale data selection framework for language model training
  ☆249Updated last year
• LLM360 / amber-train
  Pre-training code for Amber 7B LLM
  ☆166Updated last year
• IBM / ModuleFormer
  ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…
  ☆220Updated last year
• FasterDecoding / BitDelta
  ☆197Updated 5 months ago
• sabetAI / BLoRA
  batched loras
  ☆343Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆233Updated 3 months ago
• Digitous / LLM-SLERP-Merge
  Spherical Merge Pytorch/HF format Language Models with minimal feature loss.
  ☆123Updated last year
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆135Updated last year
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆134Updated last year
• lm-sys / llm-decontaminator
  Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"
  ☆302Updated last year
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆161Updated 3 weeks ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆195Updated 2 months ago
• hydrallm / llama-moe-v1
  ☆95Updated last year
• HazyResearch / TART
  TART: A plug-and-play Transformer module for task-agnostic reasoning
  ☆196Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• tianjunz / HIR
  ☆159Updated 2 years ago
• FranxYao / Long-Context-Data-Engineering
  Implementation of paper Data Engineering for Scaling Language Models to 128K Context
  ☆461Updated last year
• qwopqwop200 / gptqlora
  GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ
  ☆102Updated 2 years ago
• haoliuhl / chain-of-hindsight
  Simple next-token-prediction for RLHF
  ☆226Updated last year
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
  ☆143Updated 8 months ago
• epfml / landmark-attention
  Landmark Attention: Random-Access Infinite Context Length for Transformers
  ☆421Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆258Updated last year
• CarperAI / autocrit
  A repository for transformer critique learning and generation
  ☆89Updated last year