text-g
By oobabooga
llama-int8
Quantized inference code for LLaMA models (by tloen)
| text-g | llama-int8 | |
|---|---|---|
| 1 | 6 | |
| - | 1,044 | |
| - | - | |
| - | 3.6 | |
| - | about 1 year ago | |
| Python | ||
| - | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
text-g
Posts with mentions or reviews of text-g.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
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[D] Is it possible to run Meta's LLaMA 65B model on consumer-grade hardware?
https://github.com/oobabooga/text-g eneration-webui/issues/147#issuecom ment-1454798725
llama-int8
Posts with mentions or reviews of llama-int8.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
- My new home server. :)
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Show HN: Llama-dl – high-speed download of LLaMA, Facebook's 65B GPT model
If anyone is interested in running this at home, please follow the llama-int8 project [1]. LLM.int8() is a recent development allowing LLMs to run in half the memory without loss of performance [2]. Note that at the end of [2]'s abstract, the authors state "This result makes such models much more accessible, for example making it possible to use OPT-175B/BLOOM on a single server with consumer GPUs. We open-source our software." I'm very thankful we have researchers like this further democratizing access to this data and prying it out of the hands of the gatekeepers who wish to monetize it.
[1] https://github.com/tloen/llama-int8
[2] https://arxiv.org/abs/2208.07339
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[D] First glance at LLaMA
To add a bit more context, the code other people linked (https://github.com/tloen/llama-int8) assumes single GPU. So if you want to run it on 2x3090, you'll need to modify it a bit:
- [D] Is it possible to run Meta's LLaMA 65B model on consumer-grade hardware?
What are some alternatives?
When comparing text-g and llama-int8 you can also consider the following projects:
llama - Inference code for Llama models
FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llama-cpu - Fork of Facebooks LLaMa model to run on CPU
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.