torcheval
llama2.cs
torcheval | llama2.cs | |
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3 | 2 | |
196 | 89 | |
5.1% | - | |
7.5 | 6.1 | |
about 1 month ago | 4 months ago | |
Python | C# | |
GNU General Public License v3.0 or later | MIT License |
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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 :)
llama2.cs
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How Is LLaMa.cpp Possible?
I've also been experimenting with the C# implementation
https://github.com/trrahul/llama2.cs
- Llama2.cs – C# Port of Llama2.c
What are some alternatives?
tnt - A lightweight library for PyTorch training tools and utilities
ggllm.cpp - Falcon LLM ggml framework with CPU and GPU support
llama.cpp - LLM inference in C/C++
ClusterConfig - Guide to deploying Slurm and OpenMPI on Raspberry Pi computers
polyglot - Polyglot: Large Language Models of Well-balanced Competence in Multi-languages
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
stable-diffusion-webui - Stable Diffusion web UI
can-ai-code - Self-evaluating interview for AI coders