antimatter15 / reverse-engineering-gemma-3nLinks
Reverse Engineering Gemma 3n: Google's New Edge-Optimized Language Model
☆242Updated 3 months ago
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
Sorting:
- PyTorch implementation of models from the Zamba2 series.☆185Updated 7 months ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language models☆88Updated 4 months ago
- Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"☆245Updated 7 months ago
- ☆217Updated 7 months ago
- Simple & Scalable Pretraining for Neural Architecture Research☆293Updated last month
- Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…☆343Updated 9 months ago
- scalable and robust tree-based speculative decoding algorithm☆358Updated 7 months ago
- Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research☆225Updated this week
- ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)☆218Updated this week
- LongRoPE is a novel method that can extends the context window of pre-trained LLMs to an impressive 2048k tokens.☆249Updated last year
- PyTorch building blocks for the OLMo ecosystem☆292Updated this week
- KV cache compression for high-throughput LLM inference☆138Updated 7 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆201Updated last year
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024☆335Updated 4 months ago
- EvaByte: Efficient Byte-level Language Models at Scale☆109Updated 5 months ago
- Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache☆124Updated last month
- rl from zero pretrain, can it be done? yes.☆268Updated last month
- Storing long contexts in tiny caches with self-study☆181Updated last week
- A compact LLM pretrained in 9 days by using high quality data☆324Updated 5 months ago
- ☆417Updated 3 weeks ago
- [ICML 2024] CLLMs: Consistency Large Language Models☆404Updated 10 months ago
- ☆202Updated 9 months ago
- An extension of the nanoGPT repository for training small MOE models.☆187Updated 6 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆155Updated 5 months ago
- FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.☆274Updated last month
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated 11 months ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆172Updated 8 months ago
- Memory optimized Mixture of Experts☆65Updated last month
- Parallel Scaling Law for Language Model — Beyond Parameter and Inference Time Scaling☆443Updated 4 months ago
- Simple extension on vLLM to help you speed up reasoning model without training.☆189Updated 3 months ago