Alternatives and similar repositories for reverse-engineering-gemma-3n

Users that are interested in reverse-engineering-gemma-3n are comparing it to the libraries listed below

• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆186Updated 10 months ago
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆249Updated 10 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆305Updated 2 weeks ago
• apple / ml-recurrent-drafter
  ☆219Updated 10 months ago
• tiiuae / onebitllms
  Lightweight toolkit package to train and fine-tune 1.58bit Language models
  ☆103Updated 7 months ago
• OpenEvaByte / evabyte
  EvaByte: Efficient Byte-level Language Models at Scale
  ☆111Updated 7 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆360Updated last year
• ServiceNow / Fast-LLM
  Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research
  ☆272Updated this week
• HazyResearch / cartridges
  Storing long contexts in tiny caches with self-study
  ☆220Updated 2 weeks ago
• openai / circuit_sparsity
  Open-source release accompanying Gao et al. 2025
  ☆450Updated last week
• FasterDecoding / BitDelta
  ☆204Updated last year
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆127Updated 2 years ago
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆349Updated 7 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆202Updated last year
• eqimp / hogwild_llm
  Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
  ☆136Updated 4 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆155Updated last year
• casper-hansen / OpenCoconut
  OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.
  ☆173Updated 11 months ago
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆408Updated last year
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated last year
• ZihanWang314 / CoE
  Chain of Experts (CoE) enables communication between experts within Mixture-of-Experts (MoE) models
  ☆226Updated last month
• QwenLM / ParScale
  Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling
  ☆463Updated 7 months ago
• keeeeenw / MicroLlama
  Micro Llama is a small Llama based model with 300M parameters trained from scratch with $500 budget
  ☆163Updated 4 months ago
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆261Updated this week
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆563Updated this week
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆218Updated 9 months ago
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆365Updated 10 months ago
• radixark / miles
  ☆610Updated this week
• magicproduct / hash-hop
  Long context evaluation for large language models
  ☆224Updated 9 months ago
• arcee-ai / EvolKit
  EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…
  ☆245Updated last year
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆257Updated last year