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Releases: josStorer/RWKV-Runner

v1.8.8

v1.8.7

29 Aug 07:46
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v1.8.7

  • withdrawing the obfuscated tiny package, as it caused some exceptions in the html webui

v1.8.6

Features

  • feat(python backend): function call support (#368) Great thanks to @EliwiiKeeya

image

  • feat(ui): add navigator for web on narrow screen (#376) Great thanks to @HaloWang

Improvements

  • improve WSL installation condition detection

Chores

  • downgrade to golang1.20 for compatibility with windows7 (#377)
  • update manifest.json (hide old models and add new models)
  • html-webui.zip is now added to the release

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v1.8.6

29 Aug 07:15
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v1.8.5

25 Jul 15:57
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v1.8.4

29 May 08:42
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v1.8.3

v1.8.2

v1.8.1

12 May 15:45
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v1.8.0

v1.7.9

30 Apr 15:14
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Changes

  • bump webgpu mode ai00_server v0.4.2 (huge performance improvement)
  • upgrade to rwkv 0.8.26 (state-tuned model support)
  • update defaultConfigs and manifest.json
  • chores

Breaking Changes

  • change the default value of presystem to false

For the convenience of using the future state-tuned models, the default value of presystem has been set to false. This means that the RWKV-Runner service will no longer automatically insert recommended RWKV pre-prompts for you:

User: hi

Assistant: Hi. I am your assistant and I will provide expert full response in full details. Please feel free to ask any question and I will always answer it.

If you are using the API service and conducting a rigorous RWKV conversation, please manually send the above messages to the /chat/completions API's messages array, or manually send presystem: true to have the server automatically insert pre-prompts.

If you are using the RWKV-Runner client for chatting, you can enable Insert default system prompt at the beginning in the preset editor.

Of course, in reality, even if you do not perform the above, there is usually no significant negative impact.

If you are using the new RWKV state-tuned models, you do not need to perform the above.

The new RWKV state-tuned models can be downloaded here, they are very interesting:

If you are interested in state-tuning, please refer to: https://github.com/BlinkDL/RWKV-LM#state-tuning-tuning-the-initial-state-zero-inference-overhead

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