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EleutherAI/gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
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- EleutherAI/gpt-neo
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
Why this match
topics gpt-3, language-model, transformers; license differs: Apache-2.0 → MIT
- BlinkDL/RWKV-LM
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Why this match
topics gpt-3, language-model, transformers
- huggingface/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Why this match
topics language-model, transformers; language differs: Python → Rust
- microsoft/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Why this match
topics gpt-3, language-model; license differs: Apache-2.0 → MIT
- tatsu-lab/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
Why this match
topics language-model
- EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
Why this match
topics language-model; license differs: Apache-2.0 → MIT
- humanloop/awesome-chatgpt
Curated list of awesome tools, demos, docs for ChatGPT and GPT-3
Why this match
topics gpt-3
- intel/ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, DeepSeek, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, vLLM, DeepSpeed, Axolotl, etc.
Why this match
topics transformers