Sillytavern repetition penalty. Repetition Penalty Tries to decrease repetition.
● Sillytavern repetition penalty 25, repetition penality 1. For example "Repetition Penalty" translates to repeat_renalty in llama. conf; Navigate to SillyTavern extensions menu and put in an API URL and tap "Connect" to load the extensions Have you searched for similar requests? Yes Is your feature request related to a problem? If so, please describe. We have tested the models using SillyTavern. yaml file in the SillyTavern folder. Morpheus murmured, behind his sunglasses, his eyes twinkled in mischief. 3 is super high, which could explain the reason your character doesn't act according to the card (or at least, be one of the reasons for your character forgetting it's own traits). with comman r+ is it tends to stuck and repeats itself. You should be able to use frequency penalty, around 0. 8 'staging' (980ebb2) Desktop Information Node. Firstly, you’ll want to set your token padding to 100, this is basically the Thanks. Model card Files Files and versions Community 8 636e8a4 SillyTavern-Presets / README. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. Learn more: https://sillytavernai Members Online. Sane values for those are from 0. Temp: 0. Also you should check OpenAI's playground and go over the different settings, like you can hover your mouse on them and it will show what they do. Have you searched for similar requests? Yes Is your feature request related to a problem? If so, please describe. It did occur within 2k tokens. I do not know if this is a bug or a feature request. 1, 1. is penalized) and soon loses all sense entirely. There's a new major version of SillyTavern , my favorite LLM frontend, perfect for chat and roleplay! 2023-08-19: After extensive testing, I've switched to Repetition Penalty 1. 18, Range 2048, Slope 0 (same settings simple-proxy-for-tavern has been using for months) which has fixed or improved many issues I occasionally Any advice on how to deal with repetition? After about 20 messages Llama70B via Open Router just starts to reply with the same message whatever I do. repetition_penalty: 1. Do you prefer to run just one or do you favor a combination? Have you found a killer combination that produces good results across various models? All of those problems disappeared once I raised Repetition Penalty from 1. Describe the bug. Mirostat and etc) enable only Min-P at 0. 3 Alternatively (this is probably the most solid for this model): Dynatemp 0. 09 Tail-Free Sampling: 0. In this case, I turned off streaming and it works for now. Edit: If anyone who has had success with Yi-34B models could kindly list what quant, parameters, and context they’re using, that may be a good start for troubleshooting. 000 Tail Free Sampling 0. cpp and koboldcpp versions) and repetition penalty (depending on settings, the special tokens like <|im_end|> will get penalized as well) that could prevent the model from Presets with minimal temperature and repetition penalty tweaks are good for allowing the base strengths of the model to shine. I respond with a response that did not copy sentences from the AI message, but still the AI generates the exact same sentences or speech lines again. gguf`, the problem does not seem to happen at all. I'd recommend you test Pro Writer 2. roleplay. 18 with Repetition Penalty Slope 0! Also fixed MythoMax-L2-13B's "started talking/acting as User" issue as well. 1 Currently testing this with 7B models (looks promising but needs more testing): Dynatemp: 0. 10. 8Presence Penalty=0. 27 Implemented sliding window and bumped to latest version of VC; Repetition Penalty: Does nothing. Save the file by clicking File > Save in Notepad. Instead foreshadow or lead the plot developments purposefully, with uniquely fresh prose, and building around Scenario in creatively spontaneous ways after Chat Start. :| If you SillyTavern is a fork of TavernAI 1. Please try and change your settings to match these for optimal performance: System prompt: Enter RP mode. 2. Important: The setting of Context Size in SillyTavern GUI overrides the setting for KoboldAI GUI # Advanced Settings. 1, smoothing at 0. Increasing number of tokens, minimum length and target length. Here is how this looks in SillyTavern. 12. cpp is broken currently, so if you have that, you might have very subpar experience with any gguf. 05 - 1. Repetition Penalty Range. I'm fairly sure the repetition penalty of 1. 5 is the main reason of your issue. I kept switching between night and R+ SillyTavern is a fork of TavernAI 1. This should also be added to repetition penalty range, as it's seemingly limited to 2048 tokens currently. SillyTavern's Roleplay preset has replaced the proxy for me, and now I've come back to the proxy's repetition settings, so it's turned out to Contribute to bbonvi/SillyTavern-Repetition-Inspector development by creating an account on GitHub. So that's 100% on google. conf; Navigate to SillyTavern extensions menu and put in an API URL and tap "Connect" to load the extensions As mentioned above, you can push the repetition penalty slider up a bit more, though pushing it too far can make the output incoherent. 1 is more than enough for most cases. Leveraging Advanced Settings for Enhanced Roleplay. When set to the minimum of 0 (off), repetition penalties are applied to the full range of your output, which is the same as having the slider set to the maximum of your Subscription Tier. It seems like this is much more prone to repetition than GPT-3 was. 70 is a good value. Top_k is 0. Any thoughts? Another issue is that parameter names aren't uniform across ""compatible"" endpoints. For example, setting frequency penalty to 0. Min_p at 0. New and improved UX for the Persona Management panel. Updates. 18 repetition_penalty_range: 2048. 8Top P=1. See translation. \n' + '\n' + 'The Roomba has A place to discuss the SillyTavern fork of TavernAI. Imagine you’re generating a piece of text, and you notice that the model repeats certain words or phrases excessively "4": "[Pause your roleplay. tau, eta, repeat-last-n, repeat-penalty, presence-penalty, and frequency-penalty parameters will affect generation. You can also go much higher with the DRY settings than the defaults recommended by the author, at least with Llama3. If the model repeats itself within one message, Repetition Penalty: Discourages repetition by decreasing the likelihood of already used words. 7 Temperature: 0. Add %. Frequency penalty adjusts the token's chance of reappearing based on its frequency of use in the text. getEngine method. Added new models for Cohere and MistralAI. 2 across 15 different LLaMA (1) and Llama 2 models. Keep it above 0. What I know is, in the SillyTavern settings, there's Extensions ⊳ Vector Storage that controls the RAG system. I'm hoping we get a lot of alpaca finetunes soon though, since it always works the best, imo. Added Is this a scaling thing, where presence penalty is a flat reduction if the token has appeared at least once before, while I’m still a little confused about the difference between Frequency Penalty and Presence Penalty. The model doesn't have any visible rep penalty. Documentation: Fully documented with a built in webpage. I'm using Repetition Penalty 1. Repetition penalty is responsible for the penalty of repeated words. Even in the demo included on huggingface, it has a massive rep problem. preview code | raw Copy download link. A place to discuss the SillyTavern fork of TavernAI. Now, you SillyTavern. At this point they can be thought of as completely independent programs. 0 API: KoboldAI Branch: Staging Model: Magnum-Picaro-0. 02000 Repetition Penalty Presence 0. 10) Midnight Enigma (with Repetition Penalty = 1. 15, 1. 1, encoder_repetition_penalty: 1, top_k: 0, min_length: 0, SillyTavern is a fork of TavernAI 1. conf; Navigate to SillyTavern extensions menu and put in an API URL and tap "Connect" to load the extensions Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. Backends. I've done a lot of testing with repetition penalty values 1. 02. 8 which is under more active development, and has added Repetition of the same phrases. 4 or later. cpp will sample new tokens in the following order: 1) Repetition penalties are applied 2) Frequency and presence penalties are applied 3) Temperature is sampled 4) mirostat is sampled Everything else is ignored. Anyone have suggestions for sampler settings like Temperature, top_k, min_p, repetition penalty, etc? SillyTavern is a fork of TavernAI 1. Note, a version (newest?) of llama. will be penalized How many tokens from the last generated token will be considered for the repetition penalty. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] Nothing in "Banned Frequency penalty is like normal repetition penalty. regarding broken tokenization (has just been fixed with the latest llama. 2 seems to be the magic number). Now it's less likely to want to talk about something new. As repetition increases, the multiple approaches zero quickly resulting in a heavy decrease in probability; Cons: Might hit too hard, good to be gentle with this setting; Presence Penalty: P’(token) = P(token) * (1 - β) Pros: A fixed penalty. 8 which is under more active development, and has added many major I’ve been playing around with MythoMax for some time and for 13B it’s arguably one of the better options for role-playing. Backend model access: Change the TTS models temperature and repetition settings. Reply reply Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. Encoder Penalty : Adjusts the likelihood of words SillyTavern is a fork of TavernAI 1. Repetition Penalty 2. conf; Navigate to SillyTavern extensions menu and put in an API URL and tap "Connect" to load the extensions I noticed one thing that in the koboldccp console, the character uses much more emoticons than gets into the final Sillytavern chat. 5. As soon as I load any . For the context template and instruct, I'm using the llama3 specific ones. 05 Smoothing Factor: 0. At this point they can be What's a good Temp and repetition penalty to leave it at? SillyTavern is a fork of TavernAI 1. It's not ideal, however, and I find that it gets stuck in repetition quite easily. Describe alternatives you've considered Repetition penalty has a subtle influence that I think enhances DRY, rather than conflicting with it, as long as you keep its strength down. but, for example, having too low or too high repetition penalty can result in model either prefering "what it heard before", or "not seeing any more non-repeating routes, so it just picks the first Frequency Penalty: Taming Repetition. AI because chai had terrible memory. zaq-hack. js version: v20. Then I set repetition penalty to 600 like in your screenshot and it didn't loop but the logic of the storywriting seemed flawed and all over the SillyTavern is a fork of TavernAI 1. The zero values for frequency and presence penalties allow for unrestricted content generation, supported by a solid repetition_penalty to ensure quality. to A place to discuss the SillyTavern fork of TavernAI. 025 - 0. I rarely run into this problem before hitting the context limit. Repetition SillyTavern Docs. Help So, I started off with chai then tried out C. 1 Everything else at off/default. 4 {"payload":{"allShortcutsEnabled":false,"fileTree":{"usage/guidebook":{"items":[{"name":"index. 1, try it at 1. 7 causes responses to become incoherent. Tried those. 8 which is under more active Node 18 or later is now required to run SillyTavern. 9 Trying this for the first time and it is very impressive. I thought that maybe using SillyTavern + Poe(ChatGpt) could help, as it has some magic functionalities like keeping jailbreak at the top of the context(or something like that), adding important instructions with every prompt, addon that automatically creates summaries of # Repetition penalty. It's smarter than what NovelAI can offer. Mythomax usually likes between 1 and 1. To more Presence Penalty should be higher. Phrase Repetition Penalty acts independently of the other repetition penalty settings. Standalone/3rd Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. Repetition penalty even works on it. 10 or 1. I think it has to do with hitting context limits + Silly Tavern memories. Higher means less repetition, obviously. 15 kB. Top A Sampling: 0. What happen when the same setting has different values in both programs? Which one the text generation will follow? Share Sort SillyTavern is a fork of TavernAI 1. The model is parroting itself again. tags:-roleplay. It works coherent responses around 1, but like mirostat 2, it repeats. Gemini is well known for being highly repitive and repeating the same line of text A place to discuss the SillyTavern fork of TavernAI. Repetition penalty range also makes no difference. Hopefully it's more correct. They don't really take into account a phrase, only words (or technically, tokens). changing the Repetition Penalty has no effect. Added per-entry setting overrides for World Info entries. e. Does anyone have any suggested sampler settings or best practices for getting good results from Gemini? Share Sort A place to discuss the SillyTavern fork of TavernAI. Min-P Higher values chop off more probabilities. will be penalized Just a little headsup - don't go too wild on penalties. Repetition Penalty 1. yaml file and select Open with > Notepad. 075 Repetition Penalty: 1. 7-v2 Describe the problem When banned strings is us A place to discuss the SillyTavern fork of TavernAI. This can break responses if set too high, as common words like "the, a, and," etc. Preamble. Enabled image inlining for Gemini Flash. at the very minimum. It is better if it works right, severe repetition problem began around like 30k. 0 and Pro Writer 2. 2024. # Changing Summary Model. The new rep pen implementation which includes presence and frequency penalty in #4376 has resulted in an unusable experience with some parameters set. 🆕 Update 2023-08-16: All of those Vicuna problems disappeared once I raised Repetition Penalty from 1. Currently using Text Generation Web UI with SillyTavern as a front-end, Mirostat at Tau values between 2~5, or Midnight Enigma with Rep. I have finally gotten it working okay, but only by turning up the repetition penalty to more than 1. 02 as it looked to be setting reasonable cutoffs across the board for the tokens I looked at. 18 with Repetition Penalty Slope 0. Removes any XML tags or ["A:" ; "H:" ; "Human:" ; "Assistant:"] from Claude's responses. The settings provided in this section offer a more detailed Update: u/NandaVegg pointed out that it completely confabulated about frequency_penalty and presence_penalty, so I regenerated. Some of the INT models were chosen with some of SillyTavern's features in mind, such as emotion based sprites, dynamic music, and pretty Changed temperature and repetition penalty. 1-0. context_size: The I don't get much repetition, repetition in gemini. 1. Complete all the fields below. KoboldCpp: added repetition penalty slope control. For example, the Koboldccp console may have several different emoticons in a row, while only one of them will be displayed in Sillytavern. 1, and the thing that made it just absolute be amazing for writing a A place to discuss the SillyTavern fork of TavernAI. 10 unless AI really is getting stale and repeating themselves. If it's left to write out a document or anything of any complexity it usually tails off into repetition even with a higher penalty. 5 Max Temp: 4. 15 (not my settings just an example) I recommend trying Mythomax L2 13b local model (via oobabooga set to run in SillyTavern). By penalizing tokens that would extend a sequence already present in the input, DRY exponentially increases the penalty as the repetition grows, effectively making looping virtually impossible. 10) NovelAI Storywriter; Yara Repetition penalty makes no difference whatsoever. Rep Pen Range The range of tokens which SillyTavern is a fork of TavernAI 1. Top K Sampling: 80. If the model gets repetitive, you can try bumping the repetition penalty up, Repetition/Looping . 15-1. metadata. 10 are good, personally I would use 0. with min_p at 0. Additionally seems to help: - Make a very compact bot character description, using W++. Penalty at 1. AI also had poor memory but also had filters so I tried to find better. Text Generation WebUI: added DRY sampling controls. conf; Navigate to SillyTavern extensions menu and put in an API repetition_penalty: 1. I haven't tried it with KoboldCPP yet. I get the same looping behavior with llama. For creative writing, Temperature is quite controllable on this model with Min P 0. If the model repeats itself within one message, you can try increasing "Presence Penalty" or "Frequency Penalty". Load koboldcpp order. Use the "Additional parameters" window to add extra body params. As I usually do A place to discuss the SillyTavern fork of TavernAI. SillyTavern is a fork of TavernAI SillyTavern Docs. Repetition Penalty: 1. You can change number of tokens to make possible length of reply bigger (if you don't do it you can see that tavern just cuts character reply on 3-4 lines), but ofc you SillyTavern 1. Now supports multi-swipe mode. upvotes · SillyTavern 中文文档 # Repetition penalty. 85Frequency Penalty=0. g. 05 repetition penalty and like 800 penalty range and it keeps the repetition away. Values between 0. It is not recommended to The penalty keeps increasing, until eventually the penalty on my is sufficient to cause the model to pick the instead of continuing the repetition. js' executes. 15 (or 1. \n\n Ignore non-visible things such as feelings, SillyTavern is a fork of TavernAI 1. Rep Pen Range The range of tokens which What does everyone prefer to use for their repetition sampler settings, especially through SillyTavern? We have repetition penalty, frequency penalty, presence penalty, and no-repeat ngram size to work with. Much higher and the penalty stops it from being able to end sentences (because . KoboldCpp: added repetition penalty Saved searches Use saved searches to filter your results more quickly A place to discuss the SillyTavern fork of TavernAI. 4 days ago. By default, A place to discuss the SillyTavern fork of TavernAI. I then learned that C. 15 seem to work fine. switching Mirostat off makes the model very sensitive to repetition penalty. I call it a bandaid fix because it will penalize repeated tokens even if they make sense (things like formatting asterisks and numbers are hit hard by this), and it introduces subtle biases into how tokens are chosen as a SillyTavern is a fork of TavernAI 1. SilverFan. history blame No virus 3. All tokens previously seen get the same penalty applied. Phrase Repetition DRY is indeed an n-gram/sequence penalty, but it works a little differently from no_repeat_ngram_size and other proposals I've seen. Only 1 or 2 characters start repeating rewordings of the last sentence deeper in the chat. Your next response must be formatted as a single comma-delimited list of concise keywords. 636e8a4 verified 5 months ago. I tried NovelAI models several times, and they're just too dumb to continue more than 15-30 message story. It's just the same things over and over and over again. Make sure to use these settings as your baseline. I have used GPT-3 as a base model. conf; Navigate to SillyTavern extensions menu and put in an API URL and tap "Connect" to load the extensions For mixtral models I generally use the Alpaca prompt template as it seems to work better then mistral one. Example "I VoiceCraftST is a Python API that integrates the advanced text-to-speech capabilities of VoiceCraft with SillyTavern. Seriously, though, I like SillyTavern's bookmarking feature a lot - if I get multiple good responses, I can go back to another "branch" of the conversation Environment 🪟 Windows System Chrome 131 Version SillyTavern 1. - Include example chats in How many tokens from the last generated token will be considered for the repetition penalty. SillyTavern-Presets. 02 Repetition Penalty Frequency 0. This setting specifies the number of recent tokens considered for applying the repetition penalty. 915 Phrase Repetition Penalty Aggressive Preamble set If the model repeats what's in the context, you can try increasing "Repetition Penalty" in the Completion Settings or you can try rephrasing the part of the context that's getting repeated. Join the Discord server for info and announcements. Top Deals with repetition in Slack Claude. You can try the default 'universal-light' sampler along with the 'alpaca-roleplay' story string and instruct template. Previously, I used default sampler settings. Do not set it higher than 1. html","path":"usage/guidebook/index. but usually still fell into the repetition penalty somewhere around a 3k token conversation. It's more dry and has a bit of a "Chinese" speech structure, but at least it can be improved. Presence penalty makes it choose less used tokens. 1 (start SillyTavern 中文文档 Repetition Penalty - high numbers here will help reduce the amount of repetitious phrases in the summary. 18, and 1. The differences can be summarized as follows: The penalty grows smoothly with the length of the repeated sequence, preventing garbage from being generated in situations where extending a repetition is mandated by the SillyTavern is a fork of TavernAI 1. I adjusted my jailbreak and my settings So I think that repetition is mostly a parameter settings issue. Removed deprecated models from Perplexity Add an option to unlock the repetition penalty and temperature sliders, like what already exists with token length. 4. If the character is fixated on something or repeats the same phrase, then increasing this parameter will (likely) fix it. Repetition Penalty Top K Top A Tail Free Sampling Typical Sampling Top P Temperature CPU and RAM: Top K: 40 Min P: 0. \n\n Only mention characters by using pronouns ('he','his','she','her','it','its') or neutral nouns ('male', 'the man', 'female', 'the woman'). 1. I don't believe changing any of the temp, rep penalty will work in ST as its open router. Also, try increasing the Repetition Penalty for a bit. Otherwise your bug report will be ignored!. Max Response Length, Temperature, Frequency Penalty and Presence Penalty are all irrelevant and will be ignored, as will most other OpenAI specific settings. We have found the following settings to work best with our new models. I am currently in my last year of high school and I am planning to Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. I won’t say it’s the best because my experience isn’t that in depth, but I have messed around with the settings considerably to get something that seems consistent and doesn’t generate junk. SillyTavern supports Dynamic Temperature now and I suggest to try that. 01 # Don't make this higher, DRY handles the bulk of Squashing Repetition. KoboldCpp: added repetition penalty SillyTavern Docs. And some others. 1 to 0. Locate the config. cpp through Ooba. Generally, I have 1. Frequency and Repetition Penalty only help to reduce using the same words within one reply but they do not help to reduce characters giving similar replies to what they said earlier. Navigate to the SillyTavern folder on your computer. It's writing a reasonable message. 8 which is under more active development, and has added many major features. User: Below, I included short descriptions for temperature, top_k, top_p, frequency_penalty, presence_penalty. But overall R+ was a really disappointing model, around 40k context it began completely failing to generate any reasonable answers. More posts you may like r/SillyTavernAI TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. llm. Rep Pen Range The range of tokens which Repetition Penalty Range is how many tokens, starting from the beginning of your Story Context, will have Repetition Penalty settings applied. It definitely feels better than using Kayra, which would more often than not use the same phrases and be brief, but at the same time, the verbiage from Erato can get very sloppy and overly visceral, like a very poorly written private eye novel. conf; Navigate to SillyTavern extensions menu and put in an API URL and tap "Connect" to load the extensions Naive is not really useable with 1. Temp 1. Scan Depth in World Info now considers individual messages, not pairs. that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. id: The model ID. llm object, or create your private instance using the SillyTavern. Higher values make the output less repetitive. What parameters do you change besides temperature and repetition penalty? Reply reply More replies More replies More replies. I feel much the same way. A lot of people get by on smaller models where as I can't Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. 2 or even higher for a bit and see if that knocks it loose. Reply reply Top 4% Rank by size . Virt-io Update README. 05~0. If the character is fixated on something or repeats the same phrase, then increasing this parameter will fix it. Manage code changes Requirements: SillyTavern 1. Let’s start with Frequency Penalty. Thank you for all your hard work. **So What is SillyTavern?** Tavern is a user interface you can install on your computer (and Android phones) that allows you to interact text generation AIs and chat/roleplay with With api or other llm's you can increase the repetition penalty but i think we don't have such option. like 208. Temperature Feel free to play with this one, lower values are more grounded. It scales the token scores down, effectively penalizing words that appear too often, thus ensuring a more SillyTavern Docs. \n" + '\n' + '### Input:\n' + 'Flux the Cat personality is: smart, cool, impulsive, wary and quick-witted. for skin and hands. Here is the example seraphina reply: How many tokens per generation? Temperature? Repetition penalty? Etc. Finally, suboptimal results with these ChatML-based models could also have other causes - there have been multiple issues, e. So with repetition penalty, they avoid repeating tokens, hence why they stop using common words like "the" and "and" as they're the ones most likely to already be repeated in the context. Formatting On" When using ExLLaMA as a model loader in oobabooga Text Generation Web UI then using API to connect to SillyTavern, the character information (Description, Personality Summary, Scenario, Example Dialogue) included in the prompt is regurgitated as text output. I don't dare to celebrate yet, but this combination looks promising for 13B. When I turned off DRY (leaving everything else the same) I got a perfect repeat. SillyTavern Docs. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. It gens fast enough. When mirostat is enabled, llama. Maybe you want to I'm one of those people who uses NovelAi with SillyTavern, and I've been having Mixed, but better than Kayra results at this point. 11. Access the default API engine instance from the SillyTavern. New Phrase Repetition Penalty & Classifier Free Guidance Settings! It is our pleasure to expose you to new settings that allow you to take Clio to a whole new level! We also pushed updates to our data storage, so in the future your stories should save faster and we've updated flash attention from v1 to v2, for even faster Clio generation speeds! A place to discuss the SillyTavern fork As a random user / drive-by contributor - I'd also like some documentation on this. Streaming should . Repetition Penalty Slope: 9. 7 on API and I think on cohere it only allowed using one. Try increasing rep A place to discuss the SillyTavern fork of TavernAI. I'm pretty sure the SillyTavern UI is reporting token probabilities pre DRY sampling, since I can get the sampling method to reliably I use SillyTavern as my frontend for everything. dialogue but it fairly quickly begins to repeat certain turns of phrase and I need to raise the temperature because repetition penalty on its own doesn't seem to do much. 0 Repetition Penalty: 1. If I still get repetition, I just remove the model that does it. Sometimes just the speech or part of the sentence, sometimes a full sentence. 05), but using XTC sampler, a very slight repetition penalty or something to prevent the inevitable repetition can probably do good. Odd little glitch in Windows 11: the Terminal window, which I have set to have the title "SillyTavern" gets changed to "Windows Powershell" when 'node server. This API enables the use of VoiceCraft's features within SillyTavern without any need for modifications on the SillyTavern platform. 69. my experimented settings areMax Response Length = 400Temperature=0. \n' + '\n' + 'Flux the Cat is a cat and has a mixture of black and white furs, yellow eyes and a fluffy tail. Tail Free Sampling: 0. This means it won't be affected by any of the other repetition penalties' settings such as Rep Pen Range and Rep Pen Slope. Repetition Penalty: Discourages SillyTavern comes with built-in presets made for DreamGen. 0. You see, there's a certain paradox because usually people try to promote creativity with the settings, but then you use the same settings for a task where accuracy and conciseness are needed. I'm Oftentimes degeneration (looping, word salad, etc) can be due to excessive repetition penalty (or presence/frequency penalty), so it's best to avoid using them if possible. gguf` on the second message. Also, your TopK is rather ineffective, especially since you use TopP already. Q5_K_M. then I start tweaking the repetition penalty and temperature and stops repeating itself for like 2 or 3 messages and enters into another loop. 075 or lower. Increasing repetition penalties too high, or leaving them too low can cause the model to run out of Repetition Penality Range: 0. The list will describe of the visual details included in the last chat message. 18, Range 2048, Slope 0 (same settings simple-proxy-for-tavern has been using for months) which has fixed or improved many issues I occasionally encountered (model talking as user from the start, But local models still tend to repeat a lot, not just tokens, but structure – and repetition penalty doesn't help, as it ruins the language and thus quality (Command R+ is extremely sensitive to rep pen, more so than most other models I've evaluated). 02 MinP: 0. 1 and repetition penalty at 1. Maybe I'm missing something. All that said, what I've found works best for me Tweak like: repetition penalty slope from 0. Length Preference - values below 1 will pressure the AI to create shorter summarize, and values over 1 will encentive the AI to create longer summaries. I stick to min-p, smoothing factor, and sometimes repetition penalty (DRY is not available to me). Right-click on the config. But if I load in `mlewd-remm-l2-chat-20b. Type /help in chat for commands and macros. Use a large vocabulary of words to avoid repetition during roleplay] And for your actions perhaps something along the line of [Avoid writing as {{user}} at all cost . SillyTavern is a fork of TavernAI 1. More work to be done with samplers, both of the included samplers break formatting. Reply reply drifter_VR • • Then In SillyTavern -> instruct mode -> preset = Mixtral-RP and Kobold Presets -> Mixtral-simple if it's too verbose, add [(Respond as {{char}} with 2 to 7 sentences)] [/INST] Warning. I'm talking like 2 - 3 dry_multiplier and 2 - 3 dry_base depending on your other settings. Good for discouraging repetition without A place to discuss the SillyTavern fork of TavernAI. cpp server and repetition_penalty in oobabooga. Repetition Penalty: How strongly the bot trys to avoid being repetitive. Changing context length (if I lower it down to 512 then it makes responses of the full length but they are completely unrelated to story, as expected) phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. Is there something I can do in the settings? SillyTavern is a fork of TavernAI 1. 02 Repetition Penalty Range: 1024 MinP: 0. 18, Range 2048, Slope 0. Local models are kind of bad too, but at Definitely don't use too high a temperature (<1) and too high rep penalty (<1. Mixtral Instruct 8x7b is now used by many roleplayers because it offers 32k context instead of 4k. 2 are good values. Reply reply Top 5% Rank by size . At this point they can be thought of as completely Pros: A stronger repetition penalty. I updated oobabooga and sillytavern. 05 (and repetition penalty range at 3x the token limit). Asterism (with Repetition Penalty = 1. While you can use SillyTavern with the NAI free trial, once it runs out, you'll just get errors; Check what you have in "Custom Stopping Strings" - if those are being generated at the start of the response, it might be cut off prematurely As mentioned above, you can push the repetition penalty slider up a bit more, though pushing it too far can make the output incoherent. Finetunes of Mixtral unt Repetition Penalty 6. 00 repetition penalty as the AI will usually start to quickly repeat itself so raise that, I wouldn't go over 1. **So What is SillyTavern?** Tavern is a user interface you can install on your computer (and Android phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the community create. But I do have feedback on your repetition penalty settings: 1. What I'd like to know, is the chromadb plugin provided by SillyTavern-extras still supported by the frontend, or not? I suppose not, since the Vectorization Source dropdown has no option to use A place to discuss the SillyTavern fork of TavernAI. 3 Improvements. I chose Min P 0. cpp through Simple Proxy for SillyTavern and with Auto-GPTQ, exLlama, and llama. This slider only functions when Dynamic Range is Repetition penalty - just make it higher when you see repeats in messages. Repetition Penalty Tries to decrease repetition. TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. vram_required: The amount of VRAM required to load the model in MB. Typical Sampling: 0. 10 are good, If the model repeats what's in the context, you can try increasing "Repetition Penalty" in the Completion Settings or you can try rephrasing the part of the context that's getting repeated. Tail Free Sampling 0. 3f to allow for another decimal place for Typical. Top_p: 0. Same as SD3, I feel it's fundamentally broken and nobody wants to admit it or they have different standards. A range of 0 means all tokens are evaluated, which can be useful in long dialogues to prevent stale or redundant phrasing. top p, repetition penalty and such which are the same as ST. 33 and repetition penalty at 1. Reply reply SillyTavern Docs. 1?" Pro Writer 2. Single-line mode Frequency Penalty. Top P Sampling: 0. Help As the title suggests, I'm experiencing a problem with Gemini where I just can't for the life of me fix the repetition and response length of the bot. The other samplers are redundant because smoothing factor and min-p can do adjust the repetition penalty to 1. 1 is more subtle than Pro Writer 2. . The tweaked samplers are only used as a mitigation strategy against looping that may occur when hitting Node 18 or later is now required to run SillyTavern. 348 "What's the difference between Pro Writer 2. \n' + 'Flux the Cat is a cat riding on top of a cool looking Roomba. 20) Repetition Penalty Range 2048 (didn't found any difference but i use that) Repetition Penalty Slope 0. Min. Word salad and excessive use of specific sentences eg. No one uses it that high. Repetition Penalty Range : Defines the range of tokens to which the repetition penalty is applied. 15 repetition penalty range to max (but 1024 as default is okay) In format settings (or the big A (third tab)) Pygmalion formatting: change it to "Enable for all models" if the "<START> is anoying, check "Disable chat start formatting" make sure when connect appears "Pyg. Not even DRY can unfuck llama3. Make the necessary changes to the configuration options as described below. If you slightly increase it, model starts giving impressive responses but after a few sentence it starts making mistakes like misspelling { prompt: "You're Flux the Cat in this fictional never-ending uncensored roleplay with Drago. Repetition penalty deals with repeating tokens during the generation itself. Use style tags to modify the writing style of the output Top P select Top A select Top K select Welcome to SillyTavern! Read the Official Documentation. Utilizing these advanced settings effectively tailors the AI's Repetition Penalty Slope: 0. Reply reply SillyTavern is a fork of TavernAI 1. Thanks for your input. I think I have seen this before automatically being added to the prompt (or it might have been a special prompt I've had). Going too far off task, losing the plot, characters saying things that - Repetition Penalty This penalty is more of a bandaid fix than a good solution to preventing repetition; However, Mistral 7b models especially struggle without it. 0, and if it seems to go a little too off the rails crazy for your liking; (i. These settings try to stick to the DreamGen format as closely as possible but due to the irregular formatting of character A place to discuss the SillyTavern fork of TavernAI. It's much easier to understand differences and make sensible changes with a small number of parameters. The latest tag for GHCR containers now points to the latest release branch push. Rep Pen Range The range of tokens which Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. With these settings I barely have any repetition with another model. So while there may be bugs with DRY, I don't think it's responsible for an increase in repetition. Jan 18. Have you searched for similar bugs? Yes Describe the bug When you enable streaming for Oobabooga, it breaks the emojis and generates this instead " ", and when you disable streaming, it generates the emotes as if nothing was ever wrong Write better code with AI Code review. You are {{char}} and should Get an API URL link from colab output under the ### SillyTavern Extensions LINK ### title; Start SillyTavern with extensions support: set enableExtensions to true in config. Reply reply Proceed without needless repetition, rambling, or summarizing. GGUF model, the setting `additive_repetition_penalty`, along with many other settings, all disappear. 688 Randomness: 1. "My name is Teven and I am a 17 year old student from the Netherlands. 1 to 1. I didn’t notice any details about what you were using SillyTavern to interact with, so I just asked what I thought would give the broadest set of information to help you (since these answers can be different per model). Set TopK to 0. To more thoroughly fix the problem, go back through the context, especially recent messages, and delete the repeated word/phrase. Google MakerSuite: added custom API URL control. 5 - 2 Repetition Penalty: 1. md. html","contentType":"file A place to discuss the SillyTavern fork of TavernAI. Console output: Clear command line output for any warnings or issues. Just wondering if this is by design? interestingly, the repetition problem happened with `pygmalion-2-7b. Can you explain them without using ML jargon? Make it simple and non-technical. # This is just to lightly nudge the bot to move the plot forward Rep Pen Range: 2048 # Don't make this higher either. Something between 4000-5600 should be safe. 0 Will change if I I noticed how it doesn't seem to A place to discuss the SillyTavern fork of TavernAI. ldbgmmnbqxbokubfigvgzysopimhebeidzksnnpotvqcwzjldm