Sillytavern repetition penalty.

Sillytavern repetition penalty (SillyTavern concept, basically OOC narration Repetition Penalty: How strongly the bot trys to avoid being repetitive. yaml file in the SillyTavern folder. 025 - 0. Top P Sampling: 0. Neutralize your samplers and use a minimal set. Temp 1. Pen. I stick to min-p, smoothing factor, and sometimes repetition penalty (DRY is not available to me). ? Since Reddit is not the place to make bug reports, I thought to create this issue. 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. 3 Improvements. 0 coins. 1; top K at 50; temperature of 1. 5-turbo model. 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. Rep Pen Range The range of tokens which Repetition Penalty can see. 02000 Repetition Penalty Presence 0. Temp: 0. \n" + '\n' + '### Input:\n' + 'Flux the Cat personality is: smart, cool, impulsive, wary and quick-witted. Tried those. As soon as I load any . 6 Repetition Penalty: 1. 18, and 1. Repetition Penalty 2. This should also be added to repetition penalty range, as it's seemingly limited to 2048 tokens currently. ai/search (semi nsfw)) versus the interface prompts. Persona Management How do I use this? I recommend trying Mythomax L2 13b local model (via oobabooga set to run in SillyTavern). 05; frequency at . Training data: Celeste 70B 0. 1 and no Repetition Penalty too and no problem, again, I could test only until 4K context. Additionally seems to help: - Make a very compact bot character description, using W++. Presence Penalty Increases word variety. Much higher and the penalty stops it from being able to end sentences (because . 02 Repetition Penalty Frequency 0. A place to discuss the SillyTavern fork of TavernAI. Don't use traditional repetition penalties, they mess with language quality. 2 across 15 different LLaMA (1) and Llama 2 models. For the context template and instruct, I'm using the llama3 specific ones. Start using Socket to analyze sillytavern and its dependencies to secure your app from supply chain attacks. 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. Smooth Sampling: Adjusts how smoothly diverse outputs are generated. 0 Repetition Penalty: 1. Version: 1. 33 and repetition penalty at 1. As mentioned above, you can push the repetition penalty slider up a bit more, though pushing it too far can make the output incoherent. settings in SillyTavern\public\KoboldAI Settings # Temperature. Added repetition penalty control for OpenRouter. I used no repetition penalty at all at first and it entered a loop immediately. 3 myself from 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. 03; Recommended SillyTavern presets (via CalamitousFelicitousness): Context; Instruct and System Prompt. 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. 05; Temperature: 0. A bit of repetition is normal, but not like what I've seen in the last few weeks. 075 or lower. **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. Repetition penalty management Some Text Completion sources provide an ability to automatically choose templates recommended by the model author. 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. 2. # Changing Summary Model Repetition Penalty: 1. Repetition often happens when the AI thinks it is either the only fitting response, or there are no other more fitting responses left. Apr 24, 2024 · { prompt: "You're Flux the Cat in this fictional never-ending uncensored roleplay with Drago. 5 Max Temp: 4. Tree Tail Sampling: 1, Repetition Penalty: 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. 3 情况能有所缓解，建议 1. 3. 3f to allow for another decimal place for Typical. 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. 2 are good values. Jan 18. I usually try to find settings without the need for repetition penalty. 2; min p of 0. With these settings I barely have any repetition with another model. 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. 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. Encoder Penalty: Adjusts the likelihood of words based on their encoding. 0, Min-P at 0. Check repetition penalty, it may be too high. 1 Currently testing this with 7B models (looks promising but needs more testing): Dynatemp: 0. 1 Repetition Penalty Range = Context size Smoothing Factor: 3. Imo this is better than the current ways of preventing repetition we have. 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. 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. Added logprobs display for supported APIs (OpenAI, NovelAI, TextGen). Typical Sampling: 0. See that model's card for details. Phrase Repetition Penalty (PRP) Originally intended to be called Magic Mode, PRP is a new and exclusive preset option. 1, 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. 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. Give this a try! And if you're using SillyTavern, take a look at the settings I recommend, especially the repetition penalty settings. 7-v2 Describe the problem When banned strings is us SillyTavern is a fork of TavernAI 1. You don't need 10 of them, 2-3 tops is okay. 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. I feel much the same way. Frequency Penalty: Helps in decreasing repetition while increasing variety. 02 MinP: 0. 1 I increased the rep penalty to 1. 8 'staging' (980ebb2) Desktop Information Node. 1 is more than enough for most cases. 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. js version: v20. 10 Top K SillyTavern is a fork of TavernAI 1. There is also a new DRY sampler that works better than repetition penalty in my opinion. SillyTavern supports Dynamic Temperature now and I suggest to try that. 4 before and I had more options such as Temperature, Repetition Penalty, etc. 18 with Repetition Penalty Slope 0. Higher values penalize words that have similar embeddings. 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. 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. 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. Jan 31, 2025 · At a minimum, I've observed that repetition penalty seems to harm this model. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in advanced edit Min_p at 0. Higher values make the output less repetitive. 2023-08-19: After extensive testing, I've switched to Repetition Penalty 1. Make the necessary changes to the configuration options as described below. 000 Tail Free Sampling 0. 1 and repetition penalty at 1. 1 to 1. 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. Phrase Repetition Penalty select SillyTavern-extras Not Connected. 85 Top A 0. 05; presence at . I'm hoping we get a lot of alpaca finetunes soon though, since it always works the best, imo. Important News. Locate the config. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] CFG Scale of 1. 1. Added per-entry setting overrides for World Info entries. Experimenting with these settings can open up new storytelling avenues! Troubleshooting Tips. # Repetition penalty range We would like to show you a description here but the site won’t allow us. 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. 9 (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. 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. will be penalized the most. 7 was published by cohee. Mar 14, 2025 · 2) Repetition penalty. 1 Everything else at off/default. 15-1. 1 to 2. 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. 05 and no Repetition Penalty at all, and I did not have any weirdness at least through only 2~4K context. Keep it above 0. 10 SillyTavern Instruct Settings. Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). zaq-hack. 05 (and repetition penalty range at 3x the token limit). 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. The developers expanded TavernAI’s capabilities substantially. at the very minimum. It is not recommended to increase this parameter too much for the chat format, as it may break this format. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. Set the value to 0 to disable its effect. Frequency_penalty: This parameter is used to discourage the model from repeating the same words or phrases too frequently within the generated text. Save the file by clicking File > Save in Notepad. 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. Describe the bug. 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. 0 Top P 0. Higher value - the answers are more creative, but less logical. 8 which is under more active development, and has added many major features. 0 API: KoboldAI Branch: Staging Model: Magnum-Picaro-0. Check the box for Simple Interface" or something like that. This is a new repetition penalty method that aims to affect token sequences rather than individual tokens. Temperature Feel free to play with this one, lower values are more grounded. 8Presence Penalty=0. So while there may be bugs with DRY, I don't think it's responsible for an increase in repetition. 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. Upped to Temperature 2. No one uses it that high. Otherwise your bug report will be ignored!. 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. 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. Min-P Higher values chop off more probabilities. 02, Presence Penalty: 0 Mirostat Mode: 2, Tau: 5, Eta: 0. Thanks. How do I go back and enable advanced settings? I was using 1. 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. 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. 0. Encountering issues while working with SillyTavern? Repetition Penalty - high numbers here will help reduce the amount of repetitious phrases in the summary. Update to at least Node 23. 10, but experiment with it. with min_p at 0. Smaller models might need more reinforcement. Values between 0. Honestly, a lot of them will not get you the results you are looking for. Under API Connections -> Text Completion -> KoboldCpp, the API Response Configuration window is still missing the "Repetition Penalty Slope" setting. This works by comparing a hash of the chat template defined in the model's tokenizer_config. 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. Just wondering if this is by design? interestingly, the repetition problem happened with `pygmalion-2-7b. Such a cringe stance, a generalist model should be able to do diverse task, including roleplay and creative writing greatly. 2 seems to be the magic number). 5, MaxTemp 4, and Repetition Penalty Jun 14, 2024 · Temperature: 1. repetition_penalty: 1. Single-line mode = false/off. 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. 07. What's a good Temp and repetition penalty to repetition penalty at 1. I tried NovelAI models several times, and they're just too dumb to continue more than 15-30 message story. I checked the box and then the program finished loading. Repetition Penalty Top K Top A Tail Free . Mar 16, 2025 · Function: A specialized repetition avoidance mechanism that's more sophisticated than basic repetition penalties. Node 23. SillyTavern now uses Webpack for bundling frontend dependencies. Lower value - the answers are more logical, but less creative. 5 以内 Examples: 给我讲一个笑话 So I think that repetition is mostly a parameter settings issue. Also the model you are using is old by LLM standards. 10 or 1. 10 are good, personally I would use 0. If the character is fixated on something or repeats the same phrase, then increasing this parameter will fix it. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. We would like to show you a description here but the site won’t allow us. Navigation Menu Toggle navigation. Before anyone asks, my experimented settings areMax Response Length = 400Temperature=0. . 52 Presence Penalty: 1 Response Tokens: 333: Pro Tips: To make the model more deterministic, decrease the temperature. I think it has to do with hitting context limits + Silly It said; "ST is meant for Advanced Users. Have you searched for similar bugs?. I have used GPT-3 as a base model. Jan 3, 2025 · The issue often occurs with too high repetition penalty. 18 turned out to be the best across the board. 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. I've tried some other APIs. Text Generation WebUI: added DRY sampling controls. However, exercise caution and refrain from enabling the ban EOS token option, as it may affect the AI's responsiveness. Whether this is a problem with ooga, exllama2 or the models themselves I'm not sure yet - it's not a SillyTavern problem. Repetition Penalty Tries to decrease repetition. 02 and dry_multiplier to 0. 2 and anything less than 2. Sep 29, 2024 · SillyTavern is more geared to chat based interactions using character cards (see also: https://chub. Reply reply Healthy_Cry_4861 # Repetition penalty. 0 If anyone has suggestions or tips for settings with smoothing factor, please let me know. 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. # Repetition penalty. Try lowering it and increase temperature instead if you get repetition. SillyTavern is a fork of TavernAI 1. To add your own settings, simply add the file . How many tokens from the last generated token will be considered for the repetition penalty. 6, Min-P at 0. Once again setting this too high will turn its responses into gibberish so try to creep up on the ideal value. It complements the regular repetition penalty, which targets single token repetitions, by mitigating repetitions of token sequences and breaking loops. 0 Will change if I find better results. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] Nothing in "Banned Tokens" Presence Penalty should be higher. 1 # 格式化提示. New and improved UX for the Persona Management panel. Experiment with different temperature, repetition penalty, and repetition penalty range settings to achieve desired outcomes. Now I only have Temperature slider. Node 18 or later is now required to run SillyTavern. 1, smoothing at 0. \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. Aug 25, 2023 · Add an option to unlock the repetition penalty and temperature sliders, like what already exists with token length. Exponent, do not set Exponent higher than the default of 1. 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. 8 to get started. SillyTavern 1. 5. SillyTavern is being actively developed via a two-branch system. 075 Repetition Penalty: 1. if you’re just chatting normally, you can try increasing the repetition penalty and temperature for better results. 1, and the thing that made it just absolute be amazing for writing a repetition penalty slope of 5. 25, repetition penality 1. 8; Repetition Penalty: 1. TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. Auto-connect. Top K Sampling: 80. SillyTavern Docs. Repetition Penalty: 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. 18 repetition_penalty_range: 2048. 1. Derive templates option must be enabled in the Advanced Formatting menu. 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 . 85Frequency Penalty=0. - Include example chats in advanced edit. Also add in every character (Personality summary) following: {{char}} does not switch emotions illogically. Repetition Penalty: 1 Frequency Penalty: 0. Kalomaze's Opus_Instruct_25k dataset, filtered for refusals. MinTemp 0. Repetition penalty is responsible for the penalty of repeated words. This can A place to discuss the SillyTavern fork of TavernAI. Pros: Navigate to the SillyTavern folder on your computer. having too low or too high repetition penalty 2023-08-19: After extensive testing, I've switched to Repetition Penalty 1. 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. com Dec 26, 2024 · THX. 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). 05 - 1. It seems like this is much more prone to repetition than GPT-3 was. 7B is likely to loop in general. Sep 11, 2023 · SillyTavern was originally adapted from an open-source project called TavernAI in early 2023. 02 Repetition Penalty Range: 1024 MinP: 0. 12. I've done a lot of testing with repetition penalty values 1. Value from 0. 3, Repetition Penalty Range: 8192, Frequency Penalty: 0. json file with one of the default SillyTavern templates. 17 min_p: 0. 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. 1; range at 2048; slope at 0. Dec 2, 2024 · Environment 🪟 Windows System Chrome 131 Version SillyTavern 1. Repetition Penalty Range: Defines the range of tokens to which the repetition penalty is applied. I have it set to 2048. 15, 1. 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. 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. 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. 2-1. If the character is fixated on something or repeats the same phrase, then increasing this parameter will (likely) fix it. Try KoboldCPP with the GGUF model and see if it persists. 0 has a bug that prevents SillyTavern from startup. gguf` on the second 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, high context models being too dumb, repetition/looping). It is not recommended to increase this parameter too much as it may break the outputs. Q5_K_M. 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. Set min_p to 0. 15 seem to work fine. Additional info Repetition Penalty 2. 5 is the main reason of your issue. Repetition Penality Range: 0. How should I change the repetition penalty if my character keeps giving similar responses? Do I lower it? Coins. 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. After I got a lot of repetitive generations. \n' + 'Flux the Cat is a cat riding on top of a cool looking Roomba. 10. supported by a solid repetition_penalty to SillyTavern 1. Top A Sampling: 0. Do you prefer to run just one or do you favor a combination? Aug 9, 2024 · Repetition Penalty: Reduces repetition; stay below 1. The latest tag for GHCR containers now points to the latest release branch push. Describe alternatives you've considered Tried here with KoboldCPP - Temperature 1. SillyTavern adds many more features to enhance possibilities and accessibility of AI roleplaying. 8 Known Issue. 1 data mixture minus Opus Instruct subset. GGUF model, the setting `additive_repetition_penalty`, along with many other settings, all disappear. \n' + '\n' + 'Flux the Cat is a cat and has a mixture of black and white furs, yellow eyes and a fluffy tail. Right-click on the config. Min. Try without any samplers and add in a tiny bit if necessary. yaml file and select Open with > Notepad. 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. Backends. 0, incrementally of course. More details: nodejs/node#55826. Using it is very simple. Higher means less repetition, obviously. And some others. It's smarter than what NovelAI can offer. 0 or use a recommended LTS version. Now supports multi-swipe mode. Scan Depth in World Info now considers individual messages, not pairs. Dynamic Temperature Min and Max temps, free to change as desired. To more thoroughly fix the problem, go back through the context, especially recent messages, and delete the repeated word/phrase. Now it's less likely to want to talk about something new. 1-Llama-3-Instruct; Troubleshooting Tips SillyTavern-Presets is a specialized configuration toolkit designed to optimize roleplay interactions with language models. 1 (model talking as user from the start, high context models being too dumb, repetition/looping). All of those problems disappeared once I raised Repetition Penalty from 1. Do not set it higher than 1. A subset (1k rows) of ChatGPT-4o-WritingPrompts by adjust the repetition penalty to 1. Jun 17, 2023 · Warning. I'm fairly sure the repetition penalty of 1. 8Top P=1. This can break responses if set too high, as common words like "the, a, and," etc. Repetition Penalty Slope: 9. I'm using Repetition Penalty 1. Yes. 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. Complete all the fields below. If the model repeats itself within one message, you can try increasing "Presence Penalty" or "Frequency Penalty". The higher you set this the less likely the AI is to repeatedly use common word patterns. Tail Free Sampling: 0. I have finally gotten it working okay, but only by turning up the repetition penalty to more than 1. 11. 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). Jan 3, 2025 · Repetition penalty tends to cause this as others have pointed out. The settings show when I have no model loaded. Add %. It's much easier to understand differences and make sensible changes with a small number of parameters. is penalized) and soon loses all sense entirely. I've tried different repetition penalty settings to no avail. 8 is We would like to show you a description here but the site won’t allow us. Frequency Penalty Decreases repetition. Repetition Penalty Range is how many tokens, starting from the beginning of your Story Context, will have Repetition Penalty settings applied. I use mistral-based models and like Genesis. 65-0. 4 - 0. When I turned off DRY (leaving everything else the same) I got a perfect repeat. ownbe pcfkmp wbvi uod rvqf lfg tmvwr yhuz ksyd sfve