ChatRWKV
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source. (by BlinkDL)
| ChatRWKV | KoboldAI | |
|---|---|---|
| 28 | 58 | |
| 9,282 | 150 | |
| - | - | |
| 8.3 | 8.6 | |
| 8 days ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
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 :)
KoboldAI
Posts with mentions or reviews of KoboldAI.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-09.
- Any good models with 6gb vram?
- for some reasons, i can't download AI models from Kobold, how can i download them individually?
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ChatGPT users drop for the first time as people turn to uncensored chatbots
Pygmalion for chatting, Erebus for story writing, Wizard Vicuna Uncensored for general use including chatting, story writing or instructing, to name a few. There's lots more, but most are just the raw models that users are expected to load themselves so there isn't anything quite like ChatGPT where you just load up a single website and have all of them there. You'll either have to set up a local install using KoboldAI for running only on GPU, KoboldCPP for running only on CPU with optional splitting between CPU and GPU, or Oobabooga for CPU, GPU and splitting between CPU and GPU, if you have a powerful enough PC to run these models yourself (a PC with a 3090 can load up to a 30B model entirely in GPU, or a 65B model if you have 64GBs of RAM and a decently powerful CPU). If you don't have a powerful enough PC then you'll have to use something like KoboldAI Lite (website version) or SillyTavern to use the horde, a crowdsourced AI chatbot/LLM runner that lets people provide their hardware for others to use.
- Alr boys, how do I sign into Kobold?
- Poe down so here a meme
- GPU running out of memory despite meeting requirements?
- Any way to get a 13b model running on a 4070?
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Remote play .bat doesn't work for me how do i fix it?
INFO | __main__:general_startup:1312 - Running on Repo: https://github.com/0cc4m/koboldai Branch: latestgptq
- Help with KoboldAI API not generating responses
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Anyone tried this promising sounding release? WizardLM-33B-V1.0-Uncensored-SUPERHOT-8K
Occam seems to be trying or adding that into Kobold (https://github.com/0cc4m/KoboldAI/tree/4bit-plugin)
What are some alternatives?
When comparing ChatRWKV and KoboldAI you can also consider the following projects:
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
SillyTavern - LLM Frontend for Power Users.
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)
SillyTavern - LLM Frontend for Power Users. [Moved to: https://github.com/SillyTavern/SillyTavern]
gpt4all - gpt4all: run open-source LLMs anywhere
GPTQ-for-LLaMa - 4 bits quantization of LLMs using GPTQ
alpaca-lora - Instruct-tune LLaMA on consumer hardware
llama-cpp-python - Python bindings for llama.cpp