smolrsrwkv
A relatively basic implementation of RWKV in Rust written by someone with very little math and ML knowledge. Supports 32, 8 and 4 bit evaluation. It can also directly load PyTorch RWKV models. (by KerfuffleV2)
Nuclia DB
NucliaDB, The AI Search database for RAG (by nuclia)
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| smolrsrwkv | Nuclia DB | |
|---|---|---|
| 6 | 3 | |
| 91 | 571 | |
| - | 4.2% | |
| 5.6 | 9.9 | |
| 8 months ago | 4 days ago | |
| Rust | Rust | |
| MIT License | AGPL V3 |
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.
smolrsrwkv
Posts with mentions or reviews of smolrsrwkv.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-06.
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Introducing repugnant-pickle, a crate for scraping Python Pickle files in a basic way. Notable, it can deal with (some) PyTorch model files.
For an example of actually using it, you can look at my little project for running inference on RWKV models: https://github.com/KerfuffleV2/smolrsrwkv It uses repugnant-pickle to enable loading PyTorch models directly with no conversion requirement or Python dependencies.
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Is GPT-4 still just a language model trying to predict text?
If you want some proof, I wrote my own application that can run inference on RWKV models (competing approach similar to GPT which most LLMs use currently): https://github.com/KerfuffleV2/smolrsrwkv
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I created a simple implementation of the RWKV language model (RWKV competes with the dominant Transformers-based approach which is the "T" in GPT)
It can now quantize to 8bit for 4x memory savings: https://github.com/KerfuffleV2/smolrsrwkv/tree/experiment-quantize
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ChatGPT saved this dog's life...
Here's an implementation of RWKV I wrote that can run inference on models: https://github.com/KerfuffleV2/smolrsrwkv
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LLMs are not that different from us -- A delve into our own conscious process
Now, I'm not an expert but I do know a little more than the average person. I actually just got done implementing a simple one based on the RWKV approach rather than transformers: https://github.com/KerfuffleV2/smolrsrwkv
Nuclia DB
Posts with mentions or reviews of Nuclia DB.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-20.
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Tantivy 0.20 is released: Schemaless column store, Schemaless aggregations, Phrase prefix queries, Percentiles, and more...
You have also NucliaDB that is built on top of tantivy and addresses vector search for documents and video search.
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Alternatives to Pinecone? (Vector databases) [D]
NucliaDB https://github.com/nuclia/nucliadb
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qdrant VS nucliadb - a user suggested alternative
2 projects | 18 Jul 2022
What are some alternatives?
When comparing smolrsrwkv and Nuclia DB you can also consider the following projects:
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference [Moved to: https://github.com/sonos/tract]
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/