ChatRWKV
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source. (by BlinkDL)
point-alpaca
By pointnetwork
| ChatRWKV | point-alpaca | |
|---|---|---|
| 28 | 9 | |
| 9,291 | 408 | |
| - | 0.0% | |
| 8.3 | 4.2 | |
| 11 days ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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.
ChatRWKV
Posts with mentions or reviews of ChatRWKV.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-09.
- People who've used RWKV, whats your wishlist for it?
- How the RWKV language model works
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Questions about memory, tree-of-thought, planning
Most LLMs actually do a decent job out of the box if you ask them for step by step instructions. Tree of tough is one way to improve the results, reflexion is another that can be used separate or additionally. The downside is that most models will run quickly into their token limit (around 2k for most). However the new SuperHot models can handle up to 8k and then there are the RMVK-Raven models, they are RNNs and not transformers like all the other LLMs and can theoretically handle infinite context lengths (but they loose "focus" after a while).
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New model: RWKV-4-Raven-7B-v12-Eng49%-Chn49%-Jpn1%-Other1%-20230530-ctx8192.pth
RWKV models inference: https://github.com/BlinkDL/ChatRWKV (fast CUDA).
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KoboldCpp - Combining all the various ggml.cpp CPU LLM inference projects with a WebUI and API (formerly llamacpp-for-kobold)
I'm most interested in that last one. I think I heard the RWKV models are very fast, don't need much Ram, and can have huge context tokens, so maybe their 14b can work for me. I wasn't sure how ready for use they were though, but looking more into it, stuff like rwkv.cpp and ChatRWKV and a whole lot of other community projects are mentioned on their github.
- I created a simple implementation of the RWKV language model (RWKV competes with the dominant Transformers-based approach which is the "T" in GPT)
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[P] Raven 7B & 14B 🐦(RWKV finetuned on Alpaca+CodeAlpaca+Guanaco) and Gradio Demo for Raven 7B
You can use ChatRWKV v2 (https://github.com/BlinkDL/ChatRWKV) to run Raven🐦 (compatible with vanilla RWKV):
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What's the current state of actually free and open source LLMs?
I feel compelled to summon /u/bo_peng here and to mention his work on RWKV. (See https://github.com/BlinkDL/ChatRWKV and related repos.)
- Try Google's Bard
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[D] Totally Open Alternatives to ChatGPT
Please test https://github.com/BlinkDL/ChatRWKV which is a good chatbot despite only trained on the Pile :)
point-alpaca
Posts with mentions or reviews of point-alpaca.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-21.
- point-alpaca
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Pygmalion releases two new LLaMA based models: Pygmalion 7B and the roleplay oriented Metharme 7B. These are major improvements over the old Pygmalion models.
How does this perform compared to something like https://github.com/pointnetwork/point-alpaca?
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What AI models do you want me to test and judge with GPT-4? Taking suggestions from the community!
How does https://github.com/pointnetwork/point-alpaca compare? I was surprised how well the demo performed.
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Is this good idea to buy more rtx 3090?
I don't think it's worth it. The smaller models are powerful enough for most purposes. Did you try Point Alpaca? https://github.com/pointnetwork/point-alpaca
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What's the current "Best" LLaMA LoRA? or moreover what would be a good benchmark to test these against. (HF links incl in post)
It's not a LoRA, but this is the best I've tried: https://github.com/pointnetwork/point-alpaca It requires a GPU.
- Alpaca recreation without LORA ( released as a diff. )
- Goodbye Alpaca
- [D] Totally Open Alternatives to ChatGPT
What are some alternatives?
When comparing ChatRWKV and point-alpaca you can also consider the following projects:
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
SillyTavern - LLM Frontend for Power Users.
petals - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
awesome-totally-open-chatgpt - A list of totally open alternatives to ChatGPT
gpt4all - gpt4all: run open-source LLMs anywhere
KoboldAI
SpikeGPT - Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"
ChatRWKV vs koboldcpp
point-alpaca vs stanford_alpaca
ChatRWKV vs text-generation-webui
point-alpaca vs alpaca-lora
ChatRWKV vs SillyTavern
point-alpaca vs petals
ChatRWKV vs SillyTavern
point-alpaca vs awesome-totally-open-chatgpt
ChatRWKV vs gpt4all
ChatRWKV vs KoboldAI
ChatRWKV vs alpaca-lora
ChatRWKV vs SpikeGPT