safer_unpickle
llama-cpu
| safer_unpickle | llama-cpu | |
|---|---|---|
| 1 | 9 | |
| 5 | 775 | |
| - | - | |
| 10.0 | 3.1 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
safer_unpickle
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Facebook LLAMA is being openly distributed via torrents
A few months ago I made a small library to sanitize pytorch checkpoints, here it is: https://github.com/kir-gadjello/safer_unpickle
The usage boils down to
llama-cpu
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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!
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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
What are some alternatives?
fickling - A Python pickling decompiler and static analyzer
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
petals - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
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.
KoboldAI-Client