Sillytavern frequency penalty. Using --repeat_penalty 1.

Sillytavern frequency penalty. 04 Prescence Penalty: 0.

• Sillytavern frequency penalty Based on API documentation, the frequency penalty ranges from Those using silly tavern with openai, gpt 3. 04 Top P: 1. - here's some of what's repetition penalty at 1. yaml file and select Open with > Notepad. I usually stick with the preset "Carefree Kayra", AI Module set to Text Adventure. I've tried some other APIs. Image by the author. At least 1,000 tokens. Your next response must be formatted as a single comma-delimited list of concise keywords. will be penalized the most. Adjust Settings: Play around with SillyTavern’s settings like temperature, top-p, and frequency 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. Email and Password Login: Enter your registered email and password. getEngine method. What I would like to do is generate Environment 🪟 Windows System Chrome 131 Version SillyTavern 1. I have it set to 2048. The latest tag for GHCR containers now points to the latest release branch push. 15 kB. Exponent, do not set Exponent higher than the default of 1. Honestly, a lot of them will not get you the results you are looking for. Positive values: Increase the likelihood of discussing new Since SillyTavern is a simple web interface, you can run it on a computer on your home wifi, and then access in your mobile browser. Add %. It scales the token scores down, effectively penalizing words that appear too often, thus ensuring a more varied Presence Penalty Increases word variety. I haven A place to discuss the SillyTavern fork of TavernAI. By default, SillyTavern will use GPT 3. There are several strategies for beating repetition: 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. Model card Files Files and versions Community 8 636e8a4 SillyTavern-Presets / README. 000 Tail Free Sampling 0. Without a lot of sources, I asked silly old ChatGPT which we all know has difficulty with technical facts so take it In SillyTavern, click the API connections button and switch the API to OpenAI. Learn more: https://sillytavernai SillyTavern-Presets. 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. This trend becomes worse the further one fills the context with even values such as 0. Max Response Length, Temperature, Frequency Penalty and Presence Penalty are all irrelevant and will be ignored, as will most Try Different Prompts: Some AI models might still block certain jailbreak prompts. 85 Top A 0. In addition to its existing features like advanced prompt control, character cards, group chats, and extras like auto-summary of chat history, auto-translate, ChromaDB support, Stable Diffusion image generation, TTS/Speech recognition/Voice input, etc. Context size, Max response length, Temperature, Frequency Everything else in STExtras works fine, SillyTavern is up-to-date, and the Speech Recognition add-on is working as I have used stt via the browser to make sure it wasn't my microphone. Presence penalty is so it Frequency penalty just reduces the probability of a token. 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. 60 - 0. Frequency Penalty is high and I use GPT 4 Share Add a Comment. If you notice the excessive use of the same words in the generated outcome, you may want to increase the value of this parameter. The overall size of the model once loaded in memory is the only difference. TabbyAPI: added speculative ngram, I'm finding it pretty difficult to find good resources out there on the BEST settings for this model (temp, top_p, frequency_penalty, etc. This should also be added to repetition penalty range, as it's seemingly limited to 2048 tokens currently. Reply reply more replies More replies More replies More replies More replies. Frequency Penalty Decreases repetition. 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. 02000 Repetition Penalty Presence 0. 5 Repetition Penalty Slope: 9. 02 Repetition Penalty Frequency 0. TogetherAI: now supports min_p, presence_penalty and frequency_penalty sampling parameters. Description. phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the 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. The Parameter-Tuning Cheat Sheet. 7, frequency_penalty: 0. \n\n Ignore non-visible things such as feelings frequency_penalty: Optional, Defaults to 0 Number between -2. 🪟 Windows. 8 which is under more active development, and has added many major features. preview code | raw Copy download link. By applying penalties to frequently appearing words, the model is encouraged to diversify language use. Frequency penalty applies a stacking penalty each time a token appears. Morpheus murmured, behind his sunglasses, his eyes twinkled in mischief. 8 range if you satisfied with replies, and when it starts to get boring you can crank up to 1. You need t set rope frequency to the settings produced solid results. Small values can still have vast effects on your AI generations, cutting out too many tokens and resulting in gibberish outputs. 11. 4 to shake things up. Increasing temp gives the model higher chances to pick low probability tokens. 3f to allow for another decimal place for Typical. html","contentType":"file . 0 Top P 0. 0 to 2. 07 Repetition Penality Range: 0 Top P Sampling: 0. It’s remarkable to see how quickly the probability decreases. 0 now, it's producing more prometheus-aware stuff now, but funny enough (so far - not done yet) it's not giving much explainer: Below is an instruction that describes a task. metadata. 3 has been released upvotes Frequency/Presence Penalty: Users can fine-tune the AI’s conversational tendencies by adjusting the “Frequency” and “Presence Penalty” sliders. Presence Penalty Increases word variety. 05; presence at . Other improvements: Saved searches Use saved searches to filter your results more quickly Environment 🪟 Windows System AtlasOS Windows 10 VM Version 1. It's like someone who hates "4": "[Pause your roleplay. 636e8a4 verified 5 months ago. Ollama: now supports min_p sampling parameter. 2 seems to be the magic number). Dynamic Temperature Min and Max temps, free to change as desired. Virt-io Update README. e. . 0 version when using it Environment 🪟 Windows System Firefox latest Version 1. 7 causes responses to become incoherent. 00-1. 35) or Frequency penalty (0. it's expected to be there to get the best results on empty / low context, as designed by the devs. 0. tags:- SillyTavern is a fork of TavernAI 1. Frequency_penalty: 0. Presence Penalty : Decreases the likelihood of words that have already appeared in the text(i think again). Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. Added frequency and presence penalty for oobabooga's TextGen. At this point they can be thought of as completely independent programs. 1. It's the best deal in cloud models though (wink wink. Also, it doesn't have repetition penalty settings (only frequency/presence penalties). Much smarter and better at RP in my experience plus you can tweak Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). will be penalized SillyTavern Docs. 3. Desktop Information. This can break responses if set too high, as common words like "the, a, and," etc. html","path":"usage/guidebook/index. 8 'staging' (980ebb2) Desktop Information Node. 1 Single-line mode = false/off Reply reply AE_Phoenix Sillytavern world info How many tokens from the last generated token will be considered for the repetition penalty. Access the default API engine instance from the SillyTavern. 1; top K at 50; temperature of 1. history blame No virus 3. id: The model ID. Learn more: https://sillytavernai **Frequency Penalty** helps prevent word repetitions by reducing the chance of a word being selected if it has already 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. 00 Layer numbers aren't related to quantization. SillyTavern Presets Usage Repetition Penalty Tries to decrease repetition. How are you using the Dynamic Temperature and The token in question is a default part of the preamble on NovelAI, for Erato, that is only turned off via debug settings, i. 7, top_p: 1, top_k: undefined, stop: [], logit_bias: {}} Error: Request failed with status code 404 This is not a chat model and thus not supported in the v1/chat/completions endpoint. Frequency_penalty: This parameter is used to discourage the model from repeating the same words or phrases too frequently within the generated text. 00. Frequency Penalty: Reduce the likelihood of the model repeating itself. however, it is pretty cheap for what it is. Min-P Higher values chop off more probabilities. You can also go much higher with the DRY settings than the defaults recommended by the author, at least with Llama3. Using --repeat_penalty 1. Text Generation WebUI: added DRY sampling controls. \n\n Only mention characters by using pronouns ('he','his','she','her','it','its') or neutral nouns ('male', 'the man', 'female', 'the woman'). 7 to keep your text fresh and engaging. Node 18 or later is now required to run SillyTavern. Pres penalty = if a token appears once or more in the chat history, the model is less likely to select it. Negative values promote repetition. 1 causing gibberish In SillyTavern, click the API connections button and switch the API to OpenAI. Did you mean to use v1/completions? Additional context My openai account is newly created, and didn't suspanded for SillyTavern provides a single unified interface for many LLM APIs (KoboldAI/CPP, Horde, NovelAI, Ooba, Tabby, OpenAI, OpenRouter, Claude, Mistral and more), a mobile-friendly layout, Visual Novel Mode, Automatic1111 & ComfyUI API 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. 2 Top K Sampling: 80 Typical Sampling: 0. vram_required: The amount of VRAM required to load the model in MB. 2. 1; range at 2048; slope at 0. But whenever I The frequency penalty reduces the probability of a word being repeated by adjusting its logit score (ChatGPT’s internal ranking for word selection). Dynamic Temperature Min and Max temps, free to change as SillyTavern is a fork of TavernAI 1. Values between 0. 0, where positive values discourage repetition by penalizing In SillyTavern, click the API connections button and switch the API to OpenAI. 0-1. Setting to 0 will make the task the primary thing in the AI's mind. **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 SillyTavern is a fork of TavernAI 1. 0 Desktop Information No response Describe the problem In erlier versions when i used /sysgen it would make a system generated messege based on the in 1. this behavior was changed recently and models now offload context per-layer, allowing more performance Frequency. yaml option to enable experimental system prompt caching. Lowering the presence penalty means the AI is more likely to repeat the same phrases. A place to discuss the SillyTavern fork of TavernAI. Learn more: https://sillytavernai It's not really a bug, it's because your settings are fucked. If that happens, change the wording and try again. Lower frequency settings make the AI less repetitive, while higher presence penalties encourage @ -483,7 +482,7 @@ "removes blur and uses alternative background color for divs": "去除模糊并为div使用替代的背景颜色", "If checked and the character card contains a prompt override (System Prompt), use that instead. 70 is a good value. 0 and 2. 5-turbo model. Environment 🐧 Linux System ubantu Version 1. Contribute to LINKlang/sillytavern_config development by creating an account on GitHub. Also, on HuggingFace, it says this model would likely perform best with the Vicuna prompting format. So far, randomness 1 and frequency penalty 2-3 is pretty good so far. Positive values: Decrease the likelihood of repeating the same lines by penalizing frequent tokens. Environment 🪟 Windows System Firefox, Win 10 Version 1. Generation API - llama-cpp; Describe the problem. Write a response that appropriately completes the request. Max Response Length, Temperature, Frequency Penalty and Presence Penalty are all irrelevant and will be ignored, as will most SillyTavern is a fork of TavernAI 1. Frequency penalty penalizes tokens based on how often they appear in the text so far. Reverse prompt: '<|im_start|>user ' sampling: repeat_last_n = 64, repeat_penalty = 1,000, frequency_penalty = 0,000 SillyTavern is a fork of TavernAI 1. 002/per 1K tokens. Silly Tavern - rp with chat-gpt through poe. With the assistance of GPT-4, I’ve developed a table outlining various values for different writing styles, each with conservative, balanced, and creative options. Penalty: 0. Has anybody tried to use negative values for those coefficients? I’m using GPT-4 for technical translations, so I actually do want repetitions: a certain word might occur multiple times in the source string, and that’s perfectly fine. " Frequency Penalty What is Frequency Penalty? Frequency Penalty ranges from -2. Reply reply Samplers are very limited as you have to pick either frequency penalty OR presence penalty, can't use both. There is a gap of 367 million We’re on a journey to advance and democratize artificial intelligence through open source and open science. At this point they can be thought of as SillyTavern is a fork of TavernAI 1. 05; frequency at . SillyTavern 1. For example, setting frequency penalty to 0. cpp was merged which allows you to provide an argument of --grammar-file when running llama-server ("llama. Chat Bookmarks Add bookmarks to any point in a chat to easily hop back in for reading or to start 自动化部署酒馆（PC本地 无需魔法 无需claude账号）. Master advanced settings in Silly Tavern to enhance AI-driven You can use the free API Key in Silly Tavern. 5k though. llm object, or create your private instance using the SillyTavern. Presence penalty is too low: set it at 0. Turn frequency penalty up to around 0. I'm fairly positive it has something to do with a borked Whisper install via SillyTavern Extras but I was hoping to get some more light shed on what happened so SillyTavern is a fork of TavernAI 1. However, I’m There's a new major version of SillyTavern, my favorite LLM frontend, perfect for chat and roleplay!. 1 'dev' (76b7e246) Launching Before anyone asks, my experimented settings areMax Response Length = 400Temperature=0. roleplay. But overall R+ was a really disappointing SillyTavern Docs. 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. 9's changelog, Min-P was hidden behind a feature flag for KoboldCPP 1. repetition_penalty: 1. Learn more: https://sillytavernai You should be able to use frequency penalty, around 0. SillyTavern-Presets. Git. Learn more: https://sillytavernai Members Online . keep_alive setting can be configured in config. js version: v20. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] CFG Scale of 1. However, in Silly Tavern the setting was extremely As a random user / drive-by contributor - I'd also like some documentation on this. Mix Methods: Use things like roleplay prompts or combine multiple AI prompts with SillyTavern’s advanced settings to make jailbreaks work better. Top-up should always stay at 1. 12. Frequency Penalty = -2 (high repetition) Write the following prompt: Write a commentary of 200 characters for the following scenario using a Frequency Penalty = -2: a comparison between the population growth in North America and the rest of the world. 0 Describe the problem The program was terminated for unknown reasons。The background log is as follows： { messa Frequency Penalty. Type /help in chat for commands and macros. An explanation on what they do would be nice too, thanks! Additional comment actions. Sorry i don't know the detail,maybe it's the problem of Temp,must under 1. Claude: added a SillyTavern is a fork of TavernAI 1. L3-8B-Stheno-v3. Windows 10. This guy just wrote a holy grail for silly tavern. The API docs indicate that the range of possible values for presence_penalty and frequency_penalty is from -2. Learn more: https://sillytavernai Too high temp, and a too high/too low repeatition penalty. File size: 4,020 Bytes 9a16162 {"payload":{"allShortcutsEnabled":false,"fileTree":{"usage/guidebook":{"items":[{"name":"index. Repetition Penalty Frequency 0. You shouldn't have to go lower than 3. Members Online. 1 is out! The latest RP-focused model by the creator of Fimbulvetr Along with the right settings, be sure to load it up with some context before really poking at it. ChatGPT 4 prompt: “Generate an image of a frustrated software developer trying to figure out how to set LLM parameters such as temperature, frequency penalty, presence penalty, etc. 5 Desktop Information Using KoboldCpp Describe the problem Bug in "Summarization" (built-in): the "frequency" options "Update every X messages" and "Update every X words" have no e Environment. How are you feeling this morning? Yeah, good" After Frequency penalty adjusts the token's chance of reappearing based on its frequency of use in the text. context_size: The See how the frequency penalty is a factor here? If the frequency penalty was 0. 7-v2 Describe the problem When banned strings is us presence_penalty: 0. On your keyboard: press WINDOWS + E to open File Explorer, then navigate to the Presence Penalty What is Presence Penalty? Presence Penalty ranges from -2. 6-0. This section is intended as a practical guide for choosing your model’s input parameters. Right-click on the config. the most i've managed to rack up in charges is like, $2 in one day. Version. Hi, I'm currently running Ooba+AllTalk through Silly Taverns, and it before outputting character or narrator's responses, it's narrating file names and paths. 5-turbo-0301', temperature: 1, max_tokens: 250, stream: false, presence_penalty: 0. 10. Dumbledore_Bot Repetition Penalty 2. In 1. ; Negative values: Increase the likelihood of repetition. These settings discourage the model from repeating the same words or phrases, I recently got Dragon and I was wondering what the best settings for the Presence, Count, and Frequency penalties are. Frequency Penalty. Learn more: https://sillytavernai freq Frequency_penalty: Think of this as the AI's aversion to repeating itself too much. 025 - 0. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in SillyTavern is a fork of TavernAI 1. 915 Phrase Repetition Penalty Much smarter and better at RP in my experience plus you can tweak presence and frequency penalty. llm. 25 Presence_penalty: 0. 5 turbo What did you set your open ai presets, proxy to? Like these things. Members Online 自动化部署酒馆（PC本地）. model: 'gpt-3. Learn more: https://sillytavernai For the Saved searches Use saved searches to filter your results more quickly Thank you for posting to r/CharacterAI_NSFW!Please be sure to follow our sub's rules, and also check out our Wiki/FAQ information regarding filter bypasses, userscripts, and general CAI guides. Perplexity: added Llama 3. 20 (more or less), and adjusted it whenever needed Reply reply More replies. 0 API: KoboldAI Branch: Staging Model: Magnum-Picaro-0. What I know is, in the SillyTavern settings, there's Extensions ⊳ Vector Storage that controls the RAG system. 5, XTC's effect vanishes, and as the At the bottom of the panel are two boxes: Position in Chat and Task Check Frequency. cpp" in the list of SillyTavern api endpoints). com . XTC has parameters that allow you to continuously control the strength and frequency with which it acts on your model's output. Learn more: https://sillytavernai Members Online. Confirm it says Valid. Increasing Presence penalty is like telling ChatGPT not to use repetitive phrases or ideas, Saved searches Use saved searches to filter your results more quickly I first encountered this problem after upgrading to the latest llamaccp in silly tavern. Join the Discord server for info and announcements. Discussion What Frequency Penalty/Temperature settings are you using? For temperature I used 0. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. Freq penalty = the more times a token appears in the chat history, the less likely the model is to select it. you're paying to use the API through a frontend (like sillytavern, for example), you're not actually hosting it on your computer. Claude: added a config. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. You can keep temperature in 0. 10 are good, personally I would use 0. 05 - 1). We first provide some hard-and-fast rules for deciding which values to set to zero. md. LLaMA 2 7B always have 35, 13B always have 43, and the last 3 layers of a model are BLAS buffer, context half 1, and context half 2, in that order. As the threshold approaches 0. 8, the scores would be 98. cpp) Welcome to SillyTavern! Read the Official Documentation. Navigate to the SillyTavern folder on your computer. If the model repeats itself within one message, How many tokens from the last generated token will be considered for the repetition penalty. Frequency Penalty is used to reduce the likelihood of a token being selected again if it has already appeared in the generated text. You can vary temperature up to 1. Streaming should work but I personally don't use it SillyTavern is a fork of TavernAI 1. 8Top P=1. The new rep pen implementation which includes presence and frequency penalty in #4376 has resulted in an unusable experience with some parameters set. ). 5 Turbo. ! Frequency_penalty and presence_penalty are two parameters that can be used when generating text with language models, such as GPT-3. Be the first to comment 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. 2 if you want to get more creative but weird messages and you can up Frequency Penalty if you feel its repeating itself too much as well, but your current settings don't look wrong to me. If you set this value high, the AI will try not to use the same words or phrases that it's already used a lot in the current conversation. Position in Chat - This is how 'deep' in the chat section of the prompt you want the current task to be inserted. Dynamic Temperature Min and Max temps, free to change as Let’s try different Frequency Penalty values for our scenario. 7&1. 04 Prescence Penalty: 0. Character Management The right sidebar is the Character Management panel, which is dedicated to managing and customizing characters for chat interactions. yaml. Enter whatever you want in the API key field. 5 Tail Free Sampling: 0. The frequency penalty also increases diversity of word If the have the API set up already, Make sure Silly Tavern is updated and go to the first tab that says "NovelAI Presets". Very recently, issue #8402 on llama. 0 Will change if I find better results. 85, and as for frequency, I went for 1. 1, encoder_repetition_penalty: 1, top_k: 0, min_length: 0, no Previous HyprLab Image Next HyprLab - SillyTavern. ) Reply reply Repetition Penalty : 1. Make the necessary changes to the configuration options as described below. Backends. The selected model doesn't matter either. and that was after Temperature is too low: set it at 1. If the model repeats itself within one message, you can try for long, descriptive, and slow-paced, OpenAI is probably your best bet. On your keyboard: press WINDOWS + R to open Run dialog box. This article will teach you how to use these parameters to control hallucinations, inject creativity into your model’s outputs, and make other fine-grained adjustments to optimize behavior. I’ve been playing around with MythoMax for some time and for 13B it’s arguably one of the better options for role-playing. **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. 91 Freq. 2. 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. This arguments makes it so 1. 10 are good, I recommend just using Hermes 3 405b free through openrouter (if/when it stops going down all the time). 48 or Horde. 1 is out! The latest RP-focused model by the creator of Fimbulvetr I'm pretty sure the SillyTavern UI is reporting token probabilities pre DRY sampling, since I can get the sampling method to reliably mess up these words with extreme values. 6 in each occurrence. It scales the token scores down, effectively penalizing words that appear too often, thus ensuring a more varied language throughout the dialogue. That fixed it SillyTavern is a fork of TavernAI 1. 8-1. and frequency_penalty available but set to 0. 66, frequency_penalty: 0. Firstly, you’ll want to set your token padding to 100, this is A place to discuss the SillyTavern fork of TavernAI. 0 and affects how the model penalizes new tokens based on their frequency in the text. temperature: Optional, Defaults to 1 Number between 0 and 2. In SillyTavern's top bar, click API Connections; Under API, select OpenAI; Paste your API key you saved at the previous step; Click the Connect button. Rep Pen Range The range of tokens which Repetition Penalty can see. Only complaint is the context window seems to be kinda fuzzy but it's honestly not that big of a problem most of the time, and the model itself makes up for it You can find a lot of information for common issues in the SillyTavern Docs: https Add an option to unlock the repetition penalty and temperature sliders, like what already exists with token length. Do you prefer to run just one or do you favor a combination? The frequency penalty also increases the diversity of word choice by reducing the repetition of words and phrases. Locate the config. Temperature makes the AI more/less predictable with their messages. Presence Penalty: Discourage the model from mentioning the same topic repeatedly. 1 models to the list. SillyTavern is a fork of TavernAI 1. Describe alternatives you've considered Frequency Penalty select Presence Penalty Penalty Alpha select Mirostat (mode=1 is only for llama. 0. This setting is dangerous and can quickly degrade outputs, so you should keep it close to 0, if it's positive at all. Learn more: https://sillytavernai Edit: changing my frequency penalty to 0. tau, eta, repeat-last-n, repeat-penalty, presence-penalty, and frequency-penalty parameters will Users can adjust the temperature, frequency penalty, presence penalty, and top P to control the nature and variability of the AI's responses. 07. 85Frequency Penalty=0. Temperature Feel free to play with this one, lower values are more grounded. Model card Files Files and versions Community 9 9a16162 SillyTavern-Presets. ; For reducing repetition slightly, values between +rep_pen_range": 2048, 14 "no_repeat_ngram_size": 0, 自动化部署酒馆（PC本地 无需魔法 无需claude账号）. Reply More posts you may like. or only can choose between frequently penalty and presence penalty. But repetition penalties should be generally avoided as that is likely to make the model not stick to the character SillyTavern has Min-P support, but I'm not sure if it works with all backends yet. I loaded a model with llamacpp_hf in text-generation-webui, but the output was not great. Positive frequency penalty values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood of repeating the same line verbatim. 7 made it sound WAY more human and toned down the repetition somewhat. Do not set it higher than 1. 075 or lower. 2; min p of 0. it's $0. Can give the model an extra creative kick. 1; Read on for an explanation of these settings and why they may or may not work for you as expected. 4 Desktop Information Kobodcpp with mistral nemo Describe the problem I posted yesterday about a problem on reddit: " I'm having a really weird error: my Sillytavern will on We’re on a journey to advance and democratize artificial intelligence through open source and open science. System. like 208. A screenshot showing parameter selection in the SillyTavern interface. 99, logit_bias: {} } Cannot set properties of undefined (setting 'lastUsed') Locked post When mirostat is enabled, llama. But for some characters temperature must be higher all times, so SillyTavern Presets Usage Repetition Penalty Tries to decrease repetition. Imagine you have: "Hey man, good morning. The lower the number, the more attention the AI will give to the task. Then, run the following command to install git: cmd /c winget install -e --id Git. 70. I was tweaking them and now I don't know what's supposed to be the best for each. Configure SillyTavern to use your API. Dynamic Temperature I have it disables There is not. Frequency penalty makes it avoid common words and phrases, so it will speak in a more peculiar or sophisticated way. 8 which is under more active The frequency penalty is applied to the model’s predictions during training to discourage it from generating generic or repetitive responses, but it doesn’t affect the model’s ability to process or generate white spaces. Last updated 4 months ago. like 256. Login and Registration. 0 and affects how the model penalizes new tokens based on their presence in the text so far. Initial Logit Score for “disco”: 100; I understand that frequency penalty penalizes the repetition of tokens that have been used multiple times, while presence penalty penalizes tokens regardless of how many times they have been used. If you only have a simple question or want to start a small discussion, head over to our weekly discussion thread which is pinned on our front page and updated weekly! A place to discuss the SillyTavern fork of TavernAI. The list will describe of the visual details included in the last chat message. 4 and 97. 65, top_p: 0. yaml file in the SillyTavern folder. 8Presence Penalty=0. Top-up defines how much sampling is done from previous messages. Frequency penalty adjusts the token's chance of reappearing based on its frequency of use in the text. Frequency Penalty and Presence Penalty are all irrelevant and will be ignored, as will most other OpenAI specific settings. Repetition penalty has a subtle influence that I think enhances DRY, rather than conflicting with it, as long as you keep its strength down. 8 Desktop Information node:22. 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 Saved searches Use saved searches to filter your results more quickly General. Frequency Penalty Decreases Requirements: SillyTavern 1. 5 Top A Sampling: 0. It ranges from -2. If I really crank up the numbers on the sampler (mult 5, base 4, allowed length 2) it'll start to output obviously incorrect versions of the word like 'in/com/pre/hend A place to discuss the SillyTavern fork of TavernAI. 7. It would generate gibberish no matter what model or settings I used, including models that used to work (like mistral based models). I'm talking like 2 - 3 dry_multiplier and 2 - 3 dry_base depending on your other call npm install --no-audit up to date in 847ms 40 packages are looking for funding run `npm fund` for details Running from source SillyTavern 1. Something I realized in another thread was that perplexity is off the charts at low context, and gets way better after 1,000 tokens. 25 Repetition_penalty: 1. Screwing around with RoPE alpha and scale values can damage Frequency and Presence Penalties: Set Frequency Penalty and Presence Penalty to around 0. A preset that works with most models. If you have access to ; GPT-4, in SillyTavern's top bar, click AI Response Additionally, you might want to consider the frequency_penalty, which controls the repetition of words, and presence_penalty, which influences the likelihood of introducing new topics. but yeah, it's definitely not free. 4 or later. 10 Top K Frequency penalty = simply mean to decrease the Chance of the model to repeat the same line verbatim. You need to go to the menu all the way on the left of the top menu SillyTavern Presets Usage Repetition Penalty Tries to decrease repetition. bxfqalu nvhk cif dmop lutrc acfwy fvfexel pvbiylf aqwlwnyv scxex