Sillytavern repetition penalty.

Sillytavern repetition penalty 0 API: KoboldAI Branch: Staging Model: Magnum-Picaro-0. yaml file in the SillyTavern folder. Additional info Repetition Penalty 2. 5 is the main reason of your issue. Oct 16, 2024 · Once you have connected to one of these backends, you can control XTC from the parameter window in SillyTavern (which you can open with the top-left toolbar button). Temperature Feel free to play with this one, lower values are more grounded. Otherwise your bug report will be ignored!. Apr 24, 2023 · Any idea how to avoid the ai reusing previous lines 1:1 in new responses? I'm currently on this model gpt4-x-alpaca-13b-native-4bit-128g-ggml as I found it previously to give nice responses, but today it's being scuffed for some reason a May 22, 2023 · 文章浏览阅读1. For the context template and instruct, I'm using the llama3 specific ones. 8 to get started. 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. If the character is fixated on something or repeats the same phrase, then increasing this parameter will (likely) fix it. 1, 1. However, exercise caution and refrain from enabling the ban EOS token option, as it may affect the AI's responsiveness. Save the file by clicking File > Save in Notepad. With these settings I barely have any repetition with another model. The model I'm using most of the time by now, and which has proven to be least affected by repetition/looping issues for me, is: MythoMax-L2-13B. How many tokens from the last generated token will be considered for the repetition penalty. I tried NovelAI models several times, and they're just too dumb to continue more than 15-30 message story. Yesterday I had tried running it and thought something was wrong with the ggufs, because it couldn't repeat back certain things that other models easily could (for example- reprinting a sudoku board that it was given; it would add tons of spaces, extra dashes, etc when rendering the board). Phrase Repetition Penalty (PRP) Originally intended to be called Magic Mode, PRP is a new and exclusive preset option. \n' + '\n' + 'Flux the Cat is a cat and has a mixture of black and white furs, yellow eyes and a fluffy tail. Oct 2, 2024 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. Jan 3, 2025 · The issue often occurs with too high repetition penalty. 10, but experiment with it. 8Presence Penalty=0. SillyTavern now uses Webpack for bundling frontend dependencies. Is it the models fault, the settings fault, or the character cards fault? Maybe this only applies to KoboldAI, since that's what I run, but do you have the option to go into the "AI Response Configuration" and change anything like Temperature, Repetition Penalty Range, etc. 2 across 15 different LLaMA (1) and Llama 2 models. with min_p at 0. 8 Known Issue. Frequency Penalty Decreases repetition. 025 - 0. Higher values make the output less repetitive. Repetition Penalty Slope: 9. Upped to Temperature 2. 05; presence at . I'm using Repetition Penalty 1. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] CFG Scale of 1. 7B is likely to loop in general. 0: max_length: 500: min_length: 200: length_penalty We’re on a journey to advance and democratize artificial intelligence through open source and open science. 0. com Dec 26, 2024 · THX. \n" + '\n' + '### Input:\n' + 'Flux the Cat personality is: smart, cool, impulsive, wary and quick-witted. Training data: Celeste 70B 0. For creative writing, I recommend a combination of Min P and DRY (which is now merged into the dev branches of oobabooga and SillyTavern) to control repetition. Have you searched for similar bugs?. 10 Top K SillyTavern is a fork of TavernAI 1. This is why you find people who ask ChatGPT to output the letter "a" 100 times, and chatGPT starts outputting it until it suddenly starts giving random gibberish. Text Generation WebUI: added DRY sampling controls. Complete all the fields below. TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. Add %. See that model's card for details. May 19, 2021 · Frequency_penalty and presence_penalty are two parameters that can be used when generating text with language models, such as GPT-3. I have finally gotten it working okay, but only by turning up the repetition penalty to more than 1. at the very minimum. Just wondering if this is by design? interestingly, the repetition problem happened with `pygmalion-2-7b. 1 data mixture minus Opus Instruct subset. 2 and anything less than 2. Higher values penalize words that have similar embeddings. 8 is We would like to show you a description here but the site won’t allow us. As soon as I load any . 1 I increased the rep penalty to 1. I have no idea why it wasn't an issue, I tested running a blank character card with 2k context, and ran new messages until I crashed into context several times and it was Repetition penalty? Etc. ai/search (semi nsfw)) versus the interface prompts. \n' + 'Flux the Cat is a cat riding on top of a cool looking Roomba. 15-1. Jan 3, 2025 · Repetition penalty tends to cause this as others have pointed out. . Try without any samplers and add in a tiny bit if necessary. Give this a try! And if you're using SillyTavern, take a look at the settings I recommend, especially the repetition penalty settings. 0 Top P 0. Frequency_penalty: This parameter is used to discourage the model from repeating the same words or phrases too frequently within the generated text. 2023-08-19: After extensive testing, I've switched to Repetition Penalty 1. Effects: Helps prevent repetitive outputs while avoiding the logic degradation of simple penalties; Particularly helpful for models that tend toward repetition; Recommended Settings: allowed_len: 2; multiplier: 0. 15 seem to work fine. 7-v2 Describe the problem When banned strings is us SillyTavern is a fork of TavernAI 1. This can break responses if set too high, as common words like "the, a, and," etc. Pros: Navigate to the SillyTavern folder on your computer. 1. This should also be added to repetition penalty range, as it's seemingly limited to 2048 tokens currently. - Include example chats in advanced edit. 18 repetition_penalty_range: 2048. 1. 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. It is not recommended to increase this parameter too much as it may break the outputs. Frequency Penalty: Helps in decreasing repetition while increasing variety. Repetition Penality Range: 0. Dec 2, 2024 · Environment 🪟 Windows System Chrome 131 Version SillyTavern 1. Backends. 10 or 1. 5, MaxTemp 4, and Repetition Penalty Jun 14, 2024 · Temperature: 1. 18 turned out to be the best across the board. 2. 8Top P=1. I stick to min-p, smoothing factor, and sometimes repetition penalty (DRY is not available to me). Aug 11, 2024 · The penalty keeps increasing, until eventually the penalty on my is sufficient to cause the model to pick the instead of continuing the repetition. So while there may be bugs with DRY, I don't think it's responsible for an increase in repetition. Sign in Product 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. 0 has a bug that prevents SillyTavern from startup. 05 (and repetition penalty range at 3x the token limit). Start using Socket to analyze sillytavern and its dependencies to secure your app from supply chain attacks. After I got a lot of repetitive generations. 1 and no Repetition Penalty too and no problem, again, I could test only until 4K context. Before anyone asks, my experimented settings areMax Response Length = 400Temperature=0. The latest tag for GHCR containers now points to the latest release branch push. Also the model you are using is old by LLM standards. I feel much the same way. Tail Free Sampling: 0. 1 to 2. Lower value - the answers are more logical, but less creative. Scan Depth in World Info now considers individual messages, not pairs. And some others. 1 Currently testing this with 7B models (looks promising but needs more testing): Dynatemp: 0. 4 - 0. 05; Temperature: 0. 10 SillyTavern Instruct Settings. Temp 1. Aug 2, 2024 · Repeated "peredpered" around 2k into generated text, treats swipes on sillytavern, and retries on koboldai lite as continuations that count towards time till repetitions. 5 Max Temp: 4. 33 and repetition penalty at 1. KoboldCpp: added repetition penalty Mar 6, 2023 · I need to teach my students about frequency_penalty and presence_penalty as part of a chatbot we are building using ChatGPT API’s gpt-3. 4 before and I had more options such as Temperature, Repetition Penalty, etc. Auto-connect. 5-turbo model. 12. Describe alternatives you've considered Tried here with KoboldCPP - Temperature 1. 02000 Repetition Penalty Presence 0. 1 and repetition penalty at 1. Typical Sampling: 0. 07. Also add in every character (Personality summary) following: {{char}} does not switch emotions illogically. I checked the box and then the program finished loading. 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 . 1 (model talking as user from the start, high context models being too dumb, repetition/looping). 15, 1. top_k, min_p, repetition penalty, etc? Which 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. \n' + '\n' + 'The "Presence Penalty"、"Frequency Penalty" 和 "Repetition Penalty"（无范围） "Min Length" -- 允许您强制模型生成至少 min(min_length, max_tokens) 个标记; 好的起始值可能是： Min P: 0. 3 myself from 1. gguf` on the second message. I have seen that KoboldCpp is no longer meant to be used under the "KoboldAI Classic" AI, but it does still have the "Repetition Penalty Slope" setting. settings in SillyTavern\public\KoboldAI Settings # Temperature. Pen. Phrase Repetition Penalty select SillyTavern-extras Not Connected. You don't need 10 of them, 2-3 tops is okay. What I would like to do is generate some text with a low frequency presence_penalty（存在惩罚）和 frequency_penalty（频率惩罚）的目标都是增加生成文本的多样性，但它们的方法有所不同。frequency_penalty 主要基于一个token的出现频次，而 presence_penalty 则是只要一个token… Repetition Penalty: 1. Jan 31, 2025 · At a minimum, I've observed that repetition penalty seems to harm this model. Repetition penalty is responsible for the penalty of repeated However, the repetition penalty will reduce the probability because it's appeared too many times already. Set min_p to 0. Jan 18. 02 and dry_multiplier to 0. Node 18 or later is now required to run SillyTavern. Such a cringe stance, a generalist model should be able to do diverse task, including roleplay and creative writing greatly. 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. 0 coins. 8; Repetition Penalty: 1. Set the value to 0 to disable its effect. Repetition Penalty 2. Thanks in Aug 11, 2024 · The penalty keeps increasing, until eventually the penalty on my is sufficient to cause the model to pick the instead of continuing the repetition. 2 are good values. SillyTavern is a fork of TavernAI 1. Additionally seems to help: - Make a very compact bot character description, using W++. Repetition Penalty Tries to decrease repetition. SillyTavern adds many more features to enhance possibilities and accessibility of AI roleplaying. It complements the regular repetition penalty, which targets single token repetitions, by mitigating repetitions of token sequences and breaking loops. Once again setting this too high will turn its responses into gibberish so try to creep up on the ideal value. Repetition often happens when the AI thinks it is either the only fitting response, or there are no other more fitting responses left. If you don't see an "XTC" section in the parameter window, that's most likely because SillyTavern hasn't enabled it for your specific backend yet. 8 which is under more active development, and has added many major features Contribute to Tony-sama/SillyTavern-extras development by creating an account on GitHub. 2; min p of 0. Tried those. 1; top K at 50; temperature of 1. having too low or too high repetition penalty 2023-08-19: After extensive testing, I've switched to Repetition Penalty 1. 1; range at 2048; slope at 0. Sep 11, 2023 · SillyTavern was originally adapted from an open-source project called TavernAI in early 2023. 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, high context models being too dumb, repetition/looping). 10. Persona Management How do I use this? I recommend trying Mythomax L2 13b local model (via oobabooga set to run in SillyTavern). In my experience, you will mostly get better written and longer responses from NovelAi's interface as you guide the story around, but for what a lot of people use LLMs for is chatbot style stories, with their predeveloped histories, hence Advanced: Phrase Repetition Penalty. will be penalized the most. The settings show when I have no model loaded. Using it is very simple. I usually try to find settings without the need for repetition penalty. 000 Tail Free Sampling 0. (SillyTavern concept, basically OOC narration Repetition Penalty: How strongly the bot trys to avoid being repetitive. Top P Sampling: 0. 85 Top A 0. 3w次，点赞5次，收藏26次。ChatGPT中，除了采样，还有惩罚机制也能控制文本生成的多样性和创意性。本文将详细为大家讲解ChatGPT种的两种惩罚机制，以及对应的`frequency_penalty `和`presence_penalty `参数。 **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. Smaller models might need more reinforcement. 1 is more than enough for most cases. 1, and the thing that made it just absolute be amazing for writing a repetition penalty slope of 5. If the character is fixated on something or repeats the same phrase, then increasing this parameter will fix it. Repetition Penalty: 1. 8 'staging' (980ebb2) Desktop Information Node. 18, and 1. 52 Presence Penalty: 1 Response Tokens: 333: Pro Tips: To make the model more deterministic, decrease the temperature. Keep it above 0. Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). To add your own settings, simply add the file . DreamGen 模型与常规的指令跟随模型（如 OpenAI 的 ChatGPT "Presence Penalty"、"Frequency Penalty" 和 "Repetition Penalty"（无范围） "Min Length" -- 允许您强制模型生成至少 min(min_length, max_tokens) 个标记; 好的起始值可能是： Min P: 0. Check repetition penalty, it may be too high. Apr 18, 2025 · Repetition Penalty: Penalizes repeated tokens: Frequency Penalty: Penalizes frequent tokens: Presence Penalty: Penalizes tokens that have appeared: Min P: Minimum probability filtering: Top A: Top-A sampling parameter: Typical P: Typical sampling parameter: TFS: Tail-free sampling parameter: Sampler Order: Order in which samplers are applied Thanks for your input. 075 or lower. 3. Rep Pen Range The range of tokens which Repetition Penalty can see. For example, if you have a certain sentence that keeps appearing at different spots in your story, Phrase Repetition Penalty will make it harder for that sentence to complete. Added repetition penalty control for OpenRouter. Experiment with different temperature, repetition penalty, and repetition penalty range settings to achieve desired outcomes. Important News. Encountering issues while working with SillyTavern? Repetition Penalty - high numbers here will help reduce the amount of repetitious phrases in the summary. How do I go back and enable advanced settings? I was using 1. Encoder Penalty: Adjusts the likelihood of words based on their encoding. Now it's less likely to want to talk about something new. SillyTavern is being actively developed via a two-branch system. Top A Sampling: 0. I have used GPT-3 as a base model. Formatting On" - 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. 8 which is under more active development, and has added many major features. 5. 0 Repetition Penalty: 1. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in advanced edit Min_p at 0. Repetition Penalty: 1 Frequency Penalty: 0. No one uses it that high. Presence Penalty Increases word variety. 8 which is # Repetition Penalty Range（重复惩罚范围） 从最后生成的 token 开始，将考虑多少个 token 进行重复惩罚。如果设置得太高，可能会破坏回应，因为常用词如"的、了、和"等将受到最严重的惩罚。 将值设置为 0 以禁用其效果。 # Repetition Penalty Slope（重复惩罚斜率） I suspect an exllama2 bug has been introduced recently that causes repetition once the context grows. supported by a solid repetition_penalty to SillyTavern 1. To work with the Euryale model, you can also utilize the following settings for a more instructional approach: Context Template: Llama-3-Instruct-Names; Instruct Presets: Euryale-v2. Now supports multi-swipe mode. Reply reply Healthy_Cry_4861 # Repetition penalty. 05; frequency at . Dynamic Temperature Min and Max temps, free to change as desired. Repetition Penalty Range is how many tokens, starting from the beginning of your Story Context, will have Repetition Penalty settings applied. SillyTavern 1. 6, Min-P at 0. Now I only have Temperature slider. It's smarter than what NovelAI can offer. I used no repetition penalty at all at first and it entered a loop immediately. A bit of repetition is normal, but not like what I've seen in the last few weeks. Added logprobs display for supported APIs (OpenAI, NovelAI, TextGen). 03; Recommended SillyTavern presets (via CalamitousFelicitousness): Context; Instruct and System Prompt. 85Frequency Penalty=0. MinTemp 0. is penalized) and soon loses all sense entirely. A place to discuss the SillyTavern fork of TavernAI. 5 以内 Examples: 给我讲一个笑话 So I think that repetition is mostly a parameter settings issue. js version: v20. Try lowering it and increase temperature instead if you get repetition. 11. Experimenting with these settings can open up new storytelling avenues! Troubleshooting Tips. Under API Connections -> Text Completion -> KoboldCpp, the API Response Configuration window is still missing the "Repetition Penalty Slope" setting. zaq-hack. 3 情况能有所缓解，建议 1. Min-P Higher values chop off more probabilities. Top K Sampling: 80. 25, repetition penality 1. Values between 0. Update to at least Node 23. Don't use traditional repetition penalties, they mess with language quality. Repetition penalty management Some Text Completion sources provide an ability to automatically choose templates recommended by the model author. 02 MinP: 0. It's much easier to understand differences and make sensible changes with a small number of parameters. # Repetition penalty. 0 If anyone has suggestions or tips for settings with smoothing factor, please let me know. I think it has to do with hitting context limits + Silly It said; "ST is meant for Advanced Users. **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. Node 23. 05 and no Repetition Penalty at all, and I did not have any weirdness at least through only 2~4K context. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. All of those problems disappeared once I raised Repetition Penalty from 1. Whether this is a problem with ooga, exllama2 or the models themselves I'm not sure yet - it's not a SillyTavern problem. There is also a new DRY sampler that works better than repetition penalty in my opinion. 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 place, starting to repeat past stuff from way earlier in the story. 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 SillyTavern 发送到 API 作为提示的最大 token 数量，减去响应长度。 上下文包括角色信息、系统提示、聊天记录等。 消息之间的虚线表示聊天的上下文范围。该线以上的消息不会发送给 AI。 生成消息后，要查看上下文的组成，请点击 Prompt Itemization 消息选项（展开 You don’t need to use a high repetition penalty with this model, such as going above 1. Min. Do you prefer to run just one or do you favor a combination? Aug 9, 2024 · Repetition Penalty: Reduces repetition; stay below 1. Kalomaze's Opus_Instruct_25k dataset, filtered for refusals. Higher value - the answers are more creative, but less logical. 02, Presence Penalty: 0 Mirostat Mode: 2, Tau: 5, Eta: 0. 1, smoothing at 0. This works by comparing a hash of the chat template defined in the model's tokenizer_config. 05 - 1. The problem I am having is that when setting frequency_penalty and/or presence_penalty anywhere from -2 to 2 I am not really seeing any tangible difference in the completions. The higher you set this the less likely the AI is to repeatedly use common word patterns. I'm fairly sure the repetition penalty of 1. if you’re just chatting normally, you can try increasing the repetition penalty and temperature for better results. Make the necessary changes to the configuration options as described below. Aug 25, 2023 · Add an option to unlock the repetition penalty and temperature sliders, like what already exists with token length. Try KoboldCPP with the GGUF model and see if it persists. Single-line mode = false/off. Imo this is better than the current ways of preventing repetition we have. Themed models like Adventure, Skein or one of the NSFW ones will generally be able to handle shorter introductions the best and give you the best experiences. May 9, 2024 · AFAIK I don't think this was meant to discourage against repetition, but instead that when a pattern of repetition occurs, it can quickly cull it by biasing against the mean repeated tokens. This can A place to discuss the SillyTavern fork of TavernAI. Locate the config. Derive templates option must be enabled in the Advanced Formatting menu. 3f to allow for another decimal place for Typical. 65-0. Version: 1. Frequency penalty is like normal repetition Saved searches Use saved searches to filter your results more quickly Saved searches Use saved searches to filter your results more quickly I was hoping people would respond, I'm curious too. GGUF model, the setting `additive_repetition_penalty`, along with many other settings, all disappear. How should I change the repetition penalty if my character keeps giving similar responses? Do I lower it? Coins. Q5_K_M. I'm hoping we get a lot of alpaca finetunes soon though, since it always works the best, imo. I've tried different repetition penalty settings to no avail. Honestly, a lot of them will not get you the results you are looking for. Premium Powerups Explore Gaming Apr 23, 2024 · 我知道ChatGLM3有repetition_penalty，但它并没能起到我想要的效果。提高repetition_penalty减少了延伸回答的情况，但有更高概率出现乱码和编造的链接。 我想知道这个问题如何解决？repetition_penalty是如何作用的，它们之间有什么联系和区别？ SillyTavern is a fork of TavernAI 1. Check the box for Simple Interface" or something like that. 1 Repetition Penalty Range = Context size Smoothing Factor: 3. The developers expanded TavernAI’s capabilities substantially. I find it writes a very good mix of vivid actions mixed with 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. As mentioned above, you can push the repetition penalty slider up a bit more, though pushing it too far can make the output incoherent. A subset (1k rows) of ChatGPT-4o-WritingPrompts by adjust the repetition penalty to 1. Much higher and the penalty stops it from being able to end sentences (because . Value from 0. We would like to show you a description here but the site won’t allow us. I use mistral-based models and like Genesis. Describe the bug. SillyTavern Docs. If the model repeats itself within one message, you can try increasing "Presence Penalty" or "Frequency Penalty". Neutralize your samplers and use a minimal set. 02 Repetition Penalty Frequency 0. Apr 24, 2024 · { prompt: "You're Flux the Cat in this fictional never-ending uncensored roleplay with Drago. 0 or use a recommended LTS version. Mar 14, 2025 · 2) Repetition penalty. yaml file and select Open with > Notepad. Exponent, do not set Exponent higher than the default of 1. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] Nothing in "Banned Tokens" Presence Penalty should be higher. 3, Repetition Penalty Range: 8192, Frequency Penalty: 0. 1 Everything else at off/default. Repetition Penalty Top K Top A Tail Free . 0, incrementally of course. I've done a lot of testing with repetition penalty values 1. 075 Repetition Penalty: 1. 1; Read on for an explanation Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 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 encountered with Rep. 0 Will change if I find better results. # Repetition penalty range We would like to show you a description here but the site won’t allow us. 2 seems to be the magic number). 02 Repetition Penalty Range: 1024 MinP: 0. Repetition Penalty Range: Defines the range of tokens to which the repetition penalty is applied. DreamGen 模型与常规的指令跟随模型（如 OpenAI 的 ChatGPT If you are playing on 6B however it will break if you set repetition penalty over 1. 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. It is not recommended to increase this parameter too much for the chat format, as it may break this format. 18 with Repetition Penalty Slope 0. Repetition penalty is responsible for the penalty of repeated words. Thanks. 1 to 1. I've tried some other APIs. Smooth Sampling: Adjusts how smoothly diverse outputs are generated. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. 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 Configuring advanced formatting settings in Silly Tavern can enhance the AI's chat responses. Mar 16, 2025 · Function: A specialized repetition avoidance mechanism that's more sophisticated than basic repetition penalties. # Changing Summary Model Repetition Penalty: 1. Tree Tail Sampling: 1, Repetition Penalty: 1. Temp: 0. ? Since Reddit is not the place to make bug reports, I thought to create this issue. 3 Improvements. json file with one of the default SillyTavern templates. 6 Repetition Penalty: 1. Yes. Sep 29, 2024 · SillyTavern is more geared to chat based interactions using character cards (see also: https://chub. 7 was published by cohee. 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. 1 # 格式化提示. 2-1. It seems like this is much more prone to repetition than GPT-3 was. 10 are good, personally I would use 0. 17 min_p: 0. More details: nodejs/node#55826. SillyTavern supports Dynamic Temperature now and I suggest to try that. 1-Llama-3-Instruct; Troubleshooting Tips SillyTavern-Presets is a specialized configuration toolkit designed to optimize roleplay interactions with language models. 9 (0. This is a new repetition penalty method that aims to affect token sequences rather than individual tokens. Higher means less repetition, obviously. This allows us to simplify dependency management and minimize library Aug 10, 2023 · 试着调整一下 repetition_penalty 重复惩罚这个参数，我将其配置为 1. Right-click on the config. Do not set it higher than 1. When I turned off DRY (leaving everything else the same) I got a perfect repeat. I have it set to 2048. 0, Min-P at 0. To more thoroughly fix the problem, go back through the context, especially recent messages, and delete the repeated word/phrase. Added per-entry setting overrides for World Info entries. Navigation Menu Toggle navigation. What's a good Temp and repetition penalty to repetition penalty at 1. New and improved UX for the Persona Management panel. repetition_penalty: 1. Jun 17, 2023 · Warning. ssjq ftfkiit gmsuc dllfpgg dfvk euih sthczxy zzgpv wjrskec tffemnr