| llama-cpu | text-g | |
|---|---|---|
| 9 | 1 | |
| 775 | - | |
| - | - | |
| 3.1 | - | |
| 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.
llama-cpu
Posts with mentions or reviews of llama-cpu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-08.
-
Why is ChatGPT 3.5 API 10x cheaper than GPT3?
You've probably heard, but LLaMA just released, and its 13B parameter model outperforms GPT-3 on most metrics (because they trained it on a lot more data). Someone's already quantized it to 4 and 3 bits and it performs virtually the same. It also apparently performs well on CPUs (several words per second on a 7900X). Running something equivalent to GPT3.5 on a phone is not out that far out.
- Fork of Facebook’s LLaMa model to run on CPU
- Llama-CPU: Fork of Facebooks LLaMa model to run on CPU
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[D] Tutorial: Run LLaMA on 8gb vram on windows (thanks to bitsandbytes 8bit quantization)
I tried to port the llama-cpu version to a gpu-accelerated mps version for macs, it runs, but the outputs are not as good as expected and it often gives "-1" tokens. Any help and contributions on fixing it are welcome!
-
Facebook LLAMA is being openly distributed via torrents | Hacker News
You can run it with only a CPU and 32 gigs of RAM: https://github.com/markasoftware/llama-cpu
- [D] Is it possible to run Meta's LLaMA 65B model on consumer-grade hardware?
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Facebook LLAMA is being openly distributed via torrents
I was able to run 7B on a CPU, inferring several words per second: https://github.com/markasoftware/llama-cpu
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.
-
[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
What are some alternatives?
When comparing llama-cpu and text-g you can also consider the following projects:
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
llama - Inference code for Llama models
llama-int8 - Quantized inference code for LLaMA models
GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ
FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.
wrapyfi-examples_llama - Inference code for facebook LLaMA models with Wrapyfi support
bitsandbytes-win-prebuilt
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
llama-cpu vs text-generation-webui
text-g vs llama
llama-cpu vs llama
text-g vs llama-int8
llama-cpu vs GPTQ-for-LLaMa
text-g vs FlexGen
llama-cpu vs wrapyfi-examples_llama
text-g vs wrapyfi-examples_llama
llama-cpu vs bitsandbytes-win-prebuilt
text-g vs text-generation-webui
llama-cpu vs transformers
text-g vs transformers