text-g
By oobabooga
wrapyfi-examples_llama
Inference code for facebook LLaMA models with Wrapyfi support (by modular-ml)
| text-g | wrapyfi-examples_llama | |
|---|---|---|
| 1 | 2 | |
| - | 128 | |
| - | 0.0% | |
| - | 4.0 | |
| - | about 1 year ago | |
| Python | ||
| - | GNU General Public License v3.0 only |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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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
wrapyfi-examples_llama
Posts with mentions or reviews of wrapyfi-examples_llama.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-04.
- [D] Is it possible to run Meta's LLaMA 65B model on consumer-grade hardware?
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Wrapyfi for distributing LLaMA by Meta on different machines
The authors present an example of combining Wrapyfi (https://github.com/fabawi/wrapyfi), a Python wrapper for message-oriented and robotics middleware, with LLaMA (https://github.com/facebookresearch/llama), a series of large language models from Meta AI. They demonstrate how Wrapyfi can enable running LLaMA on multiple mid-range machines with high inference speed and low cost. They also provide links to their GitHub repository (https://github.com/modular-ml/wrapyfi-examples_llama) and paper (https://arxiv.org/abs/2302.09648) for more details. They state that this example can revolutionize natural language processing tasks such as text generation, summarization, question answering, sentiment analysis, etc. without having to buy new hardware and use their existing infrastructure!
What are some alternatives?
When comparing text-g and wrapyfi-examples_llama you can also consider the following projects:
llama - Inference code for Llama models
llama-int8 - Quantized inference code for LLaMA models
llama-cpu - Fork of Facebooks LLaMa model to run on CPU
FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.