WebChatRWKVstic
FlexGen
WebChatRWKVstic | FlexGen | |
---|---|---|
1 | 39 | |
93 | 9,022 | |
- | 1.0% | |
10.0 | 3.5 | |
about 1 year ago | 27 days ago | |
Python | Python | |
- | Apache License 2.0 |
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WebChatRWKVstic
FlexGen
- Run 70B LLM Inference on a Single 4GB GPU with This New Technique
- Colorful Custom RTX 4060 Ti GPU Clocks Outed, 8 GB VRAM Confirmed
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Local Alternatives of ChatGPT and Midjourney
LLaMA, Pythia, RWKV, Flan-T5 (self-hosted), FlexGen
- FlexGen: Running large language models on a single GPU
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Show HN: Finetune LLaMA-7B on commodity GPUs using your own text
> With no real knowledge of LLM and only recently started to understand what LLM terms mean, such as 'model, inference, LLM model, intruction set, fine tuning' whatelse do you think is required to make a took like yours?
This was mee a few weeks ago. I got interested in all this when FlexGen (https://github.com/FMInference/FlexGen) was announced, which allowed to run inference using OPT model on consumer hardware. I'm an avid user of Stable Diffusion, and I wanted to see if I can have an SD equivalent of ChatGPT.
Not understanding the details of hyperparameters or terminology, I basically asked ChatGPT to explain to me what these things are:
Explain to someone who is a software engineer with limited knowledge of ML terms or linear algebra, what is "feed forward" and "self-attention" in the context of ML and large language models. Provide examples when possible.
- Could this new flexgen be used in place of GPTq? or is this different?
- OpenAI is expensive
What are some alternatives?
simple-llm-finetuner - Simple UI for LLM Model Finetuning
llama - Inference code for Llama models
whisper.cpp - Port of OpenAI's Whisper model in C/C++
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
text-generation-inference - Large Language Model Text Generation Inference
minimal-llama
OpenChatKit
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
audiolm-pytorch - Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch