torcheval
polyglot
| torcheval | polyglot | |
|---|---|---|
| 3 | 1 | |
| 196 | 463 | |
| 5.1% | 0.6% | |
| 7.5 | 6.0 | |
| about 1 month ago | 10 months ago | |
| Python | ||
| GNU General Public License v3.0 or later | Apache License 2.0 |
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torcheval
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How Is LLaMa.cpp Possible?
Reading this could make people believe it is computed from the probability distribution of the model alone.
To be clearer, it is the exponent of the average negative log probability that the model gives to the real tokens of a sample text[0]. Roughly, it relates to how strongly the model can predict the sample text. A perfect model would have zero perplexity; a random model has a perplexity equal to the number of possible tokens; the worst model has infinite perplexity.
[0]: https://github.com/pytorch/torcheval/blob/3faf19c060b8a7c074...
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What skills are necessary to understand/be able to make meaningful contributions to PyTorch?
Shameless plug, my team works on torcheval and torchtnt. Neither of them are core pytorch, but if you're looking to help build out tooling for metric evaluation or training frameworks, both libraries are pretty new with very low hanging fruit.
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[D] AMA: The Stability AI Team
Hey I work on TorchEval let us know if we can be of any help here :)
polyglot
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[D] AMA: The Stability AI Team
Emad: You can see the work being led by Kevin Ko at Eleuther AI on polyglot which may be of interest: https://github.com/EleutherAI/polyglot
What are some alternatives?
tnt - A lightweight library for PyTorch training tools and utilities
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
llama.cpp - LLM inference in C/C++
stable-diffusion-webui - Stable Diffusion web UI
ggllm.cpp - Falcon LLM ggml framework with CPU and GPU support
open_clip - An open source implementation of CLIP.
stable-diffusion - A latent text-to-image diffusion model
llama2.cs - Inference Llama 2 in one file of pure C#
ClusterConfig - Guide to deploying Slurm and OpenMPI on Raspberry Pi computers