Sillytavern frequency penalty. Presence Penalty Increases word variety.

Sillytavern frequency penalty Ollama: now supports min_p sampling parameter. Dynamic Temperature Min and Max temps, free to change as Along with the right settings, be sure to load it up with some context before really poking at it. Also, it doesn't have repetition penalty settings (only frequency/presence penalties). What I would like to do is generate 自动化部署酒馆（PC本地 无需魔法 无需claude账号）. **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. The frequency penalty is applied to individual tokens, such as words or subwords, and not to white spaces, which are used to separate tokens and are not The new rep pen implementation which includes presence and frequency penalty in #4376 has resulted in an unusable experience with some parameters set. Typical Sampling: 0. Make the necessary changes to the configuration options as described below. Learn more: https://sillytavernai **Frequency Penalty** helps prevent word repetitions by reducing the chance of a word being selected if it has already SillyTavern Docs. you're paying to use the API through a frontend (like sillytavern, for example), you're not actually hosting it on your computer. 8Top P=1. 10. It's like someone who hates telling the same story twice, so they always try to come up with new anecdotes or examples. preview code | raw Copy download link. Repetition Penalty 2. Top-up defines how much sampling is done from previous messages. 10 Top K Repetition Penalty 2. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. Presence Penalty What is Presence Penalty? Presence Penalty ranges from -2. The selected model doesn't matter either. A preset that works with most models. 0 to 2. 05; presence at . 25 Presence_penalty: 0. Join the Discord server for info and announcements. This can break responses if set too high, as common words like "the, a, and," etc. Freq penalty Frequency Penalty. 2. The Parameter-Tuning Cheat Sheet. 8Presence Penalty=0. Add %. It scales the token scores down, effectively penalizing words that appear too often, thus ensuring a more Presence Penalty Increases word variety. 10 are good, personally I would use 0. 5-turbo-0301', temperature: 1, max_tokens: 250, stream: false, presence_penalty: 0. yaml file and select Open with > Notepad. Exponent, do not set Exponent higher than the default of 1. But whenever I SillyTavern Presets Usage Repetition Penalty Tries to decrease repetition. 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. 05; frequency at . vram_required: The amount of VRAM required to load the model in MB. 07. 8 'staging' (980ebb2) Desktop Information Node. 5, and presence_penalty: 0. Dynamic Temperature Min and Max temps, free to change as SillyTavern is a fork of TavernAI 1. 🪟 Windows. 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 and Presence Penalty are all irrelevant and will be ignored, as will most other OpenAI specific settings. 5 Tail Free Sampling: 0. 11. md. 15 kB. Dynamic Temperature Min and Max temps, free to change as desired. But overall R+ was a really disappointing In SillyTavern, click the API connections button and switch the API to OpenAI. Reply reply and I had presence_penalty, and frequency_penalty 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. it's $0. On the other hand, the presence penalty is a once-off (additive) penalty applied to a token that has appeared at least once, like a Boolean (1/0) marker. Contribute to LINKlang/sillytavern_config development by creating an account on GitHub. js version: v20. and that was after SillyTavern is a fork of TavernAI 1. It's smarter than what NovelAI can offer. The list will describe of the visual details included in the last chat message. 8 range if you satisfied with replies, and when it starts to get boring you can crank up to 1. SillyTavern 1. 85 Top A 0. The frequency penalty also increases diversity of word The token in question is a default part of the preamble on NovelAI, for Erato, that is only turned off via debug settings, i. I tried NovelAI models several Frequency and Presence Penalties: Set Frequency Penalty and Presence Penalty to around 0. Frequency_penalty: This parameter is used to discourage the model from See how the frequency penalty is a factor here? If the frequency penalty was 0. same as above but with frequency_pen: 0. 0 makes all tokens be used. 18 Reply reply started using new ones since openrouter changed it's openchat provider from deepinfra to lepton. will be penalized Much like prompt engineering, proper use of token sampling parameters can get your model running at 110%. 2 Top K Sampling: 80 Typical Sampling: 0. Be the first to comment This is a 16k context fine-tune of Mixtral-8x7b. Initial Logit Score for “disco”: 100; To fix this defect, it would require a complete 15B training from scratch, which is impossible for author (I think). Members Online ChatGLM3-6b-32k 在 RAG (Retrieval Augmented Generation) 数据查询应用中，模型会自行对问题进行延伸解释，答案来源于训练数据而不是 prompt 或 retrieval 的数据。由于通过Prompt限制回答范围并不奏效，我们需要通过调整惩罚系数来避免模型输出多余信息。 OpenAI模型提供了frequency_penalty和presence Environment. Desktop Information. 1 models to the list. 00. At this point they can be thought of as 自动化部署酒馆（PC本地 无需魔法 无需claude账号）. 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. Imagine you have: "Hey man, good morning. 66, frequency_penalty: 0. id: The model ID. Temperature makes the AI more/less predictable with their messages. You shouldn't have to go lower than 3. 65, top_p: 0. Presence Penalty Increases word variety. 8, the scores would be 98. I recently got Dragon and I was wondering what the best settings for the Presence, Count, and Frequency penalties are. When mirostat is enabled, llama. 0 Top P 0. 025 - 0. Please see the built in AllTalk documentation section for SillyTavern for more information, however you need to uncheck "Enable TTS" within the AllTalk extension in Text-gen-webui, otherwise Text-gen-webui generates TTS too, which includes the file paths of the files. 0 and 2. history blame No virus 3. TogetherAI: now supports min_p, presence_penalty and frequency_penalty sampling parameters. 7 was published by cohee. Learn more: https://sillytavernai It's not Navigate to the SillyTavern folder on your computer. **So What is SillyTavern?** but for what I know Frequency Penalty and Presence Penalty are too low, try putting them at 0. Presence Penalty: Discourage the model from mentioning the same topic repeatedly. Presence penalty is too low: set it at 0. I’ve been playing around with MythoMax for some time and for 13B it’s arguably one of the better options for role-playing. 02 Repetition Penalty Frequency 0. 8. 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. Your next response must be formatted as a single comma-delimited list of concise keywords. Right-click on the config. 0 version when using it SillyTavern is a fork of TavernAI 1. 85, and as for frequency, I went for 1. What I know is, in the SillyTavern settings, there's Extensions ⊳ Vector Storage that controls the RAG system. Very recently, issue #8402 on llama. Learn more: https://sillytavernai For the repetition, you might have to play with the Frequency Penalty and Repetition Penalty to find settings that work As a random user / drive-by contributor - I'd also like some documentation on this. 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. 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. yaml option to enable experimental system prompt caching. This should also be added to repetition penalty range, as it's seemingly limited to 2048 tokens currently. SillyTavern has improved prompt control tremendously over the last couple releases, so I tried it without the proxy, but quickly went back because the proxy still does much more than just character-by-character instead of token-by-token streaming (although that's huge for me, too). ). It excels in coding tasks due to extensive training with coding data and is known for its obedience, although it lacks DPO tuning. Added frequency and presence penalty for oobabooga's TextGen. An explanation on what they do would be nice too, thanks! Additional comment actions. like 208. Using --repeat_penalty 1. 99, logit_bias: {} } Cannot set properties of undefined (setting 'lastUsed') Locked post Much smarter and better at RP in my experience plus you can tweak presence and frequency penalty. 7, top_p: 1 SillyTavern Presets Usage Repetition Penalty Tries to decrease repetition. 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 presence_penalty: 0. Firstly, you’ll want to set your token padding to 100, this is Hello everyone, my name is Omega Slender and I am a video game programmer, among other things. It's the A place to discuss the SillyTavern fork of TavernAI. For example, setting frequency penalty to 0. 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! SillyTavern is a fork of TavernAI 1. Be careful with this; there's no limit to how much a token can be penalized. 5 Top A Sampling: 0. 1. 4 and 97. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] CFG Scale of 1. temperature: Optional, Defaults to 1 Number between 0 and 2. 6-0. tau, eta, repeat-last-n, repeat-penalty, presence-penalty, and frequency-penalty parameters will SillyTavern is a fork of TavernAI 1. Frequency penalty applies a stacking penalty each time a token appears. **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. Do not set it higher than 1. Repetition penalty - just make it higher when you see repeats in SillyTavern is a fork of TavernAI 1. repetition_penalty_range: The number of most recent tokens to consider for repetition penalty. A couple QoL things I noticed (which I hadn't SillyTavern is a fork of TavernAI 1. Presence Penalty : Decreases the likelihood of words that have already appeared in the text(i think again). 7 indicates that only 70% of the 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 image generation integration, TTS, WorldInfo (lorebooks), customizable UI, auto-translate, more prompt options than you'd ever want or SillyTavern is a fork of TavernAI 1. keep_alive setting can be configured in config. A place to discuss the SillyTavern fork of TavernAI. This setting is dangerous and can quickly degrade outputs, so you should keep it close to 0, if it's positive at all. 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. 3. Just go to API SillyTavern Presets Usage Repetition Penalty Tries to decrease repetition. "4": "[Pause your roleplay. 25 Repetition_penalty: 1. cpp" in the list of SillyTavern api endpoints). You need t set rope frequency to 1000000. Something I realized in another thread was that perplexity is off the charts at low context, and gets way better after 1,000 tokens. 12. The frequency penalty also increases the diversity of word choice by reducing the repetition of words and phrases. 70 is a good value. SillyTavern is a fork of TavernAI 1. yaml. How are you using the Dynamic Temperature and TogetherAI: now supports min_p, presence_penalty and frequency_penalty sampling parameters. Careful with the sliders though, if you push them too much it will go full schizo, tweak them only a TINY bit (via oobabooga set to run in SillyTavern). my experimented settings areMax Response Length = 400Temperature=0. Top A Sampling: 0. 65, presence 0. Frequency Penalty: Reduce the likelihood of the model repeating itself. frequency_penalty: 0. it's expected to be there to get the best results on empty / low context, as designed by the devs. Character Management The right sidebar is the Character Management panel, which is dedicated to managing and customizing characters for chat interactions. llm object, or create your private instance using the SillyTavern. ! A place to discuss the SillyTavern fork of TavernAI. 3f to allow for another decimal place for Typical. 1; range at 2048; slope at 0. Repetition Penalty: 1. Enter whatever you want in the API key field. 1 causing gibberish The frequency penalty is proportional (i. 5. 85, frequence/presence penalty 0. Can give the model an extra creative kick. Max Response Length, Temperature, Frequency Penalty and Presence Penalty are all irrelevant and will be ignored, as will most for long, descriptive, and slow-paced, OpenAI is probably your best bet. Github; Discord; Reddit Previous HyprLab Image Next HyprLab - SillyTavern. 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. Repetition Penalty. Rep Pen Range The range of tokens which Repetition Penalty can see. Learn more: https://sillytavernai (Temperature, Presence Penalty, Frequency Penalty?) Reply reply repetition penalty at 1. 4 to shake things up. SillyTavern has Min-P support, but I'm not sure if it works with all backends yet. 60 - 0. To be specific, it prevents within-sequence verbatim repetition (other solutions are still needed to prevent across-sequence repetition, synonym repetition, list 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. 636e8a4 verified 5 months ago. We first provide some hard-and-fast rules for deciding which values to set to zero. Presence penalty is so it How many tokens from the last generated token will be considered for the repetition penalty. Perplexity: added Llama 3. llm. Users can adjust the temperature, frequency penalty, presence penalty, and top P to control the nature and variability of the AI's responses. 0. Frequency penalty adjusts the token's chance of reappearing based on its frequency of use in the text. phones) that allows you to interact text generation AIs and chat/roleplay with characters you or the SillyTavern is a fork of TavernAI 1. Did you mean to use v1/completions? Additional context My openai account is newly created, and didn't suspanded for SillyTavern is a fork of TavernAI 1. Although I've played with lower settings on tavern and not had these issues. Windows 10. Description. . cpp was merged which allows you to provide an argument of --grammar-file when running llama-server ("llama. For example, in the case of Top P, a value of 0. If the model repeats itself within one message, you can try Here is how this looks in SillyTavern. Frequency Penalty is high and I use GPT 4 Share Add a Comment. Enabled image inlining for 连接不上的朋友们，酒馆破限的(Presence Penalty 存在惩罚）和(Frequency Penalty 频率惩罚）这两个一定要调成0！ 来自 Android客户端 4楼 2024-05-02 20:26 回复(2) 收起回复 Frequency. yaml file in the SillyTavern folder. Learn more: https://sillytavernai added repetition penalty slope control. cpp) Welcome to SillyTavern! Read the Official Documentation. 6 in each occurrence. \n\n Ignore non-visible things such as feelings The frequency penalty is a feature that penalizes the likelihood of generating highly frequent tokens in the training data to discourage the model from producing repetitive or generic outputs. 4. 1 is out! The latest RP-focused model by the creator of Fimbulvetr 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. Lowering the presence penalty means the AI is more likely to repeat the same phrases. Email and Password Login: Enter your registered email and password. 48 or Horde. tau, eta, repeat-last-n, repeat-penalty, presence-penalty, and frequency-penalty parameters will affect generation. Do you prefer to run just one or do you favor a combination? Frequency_penalty: Think of this as the AI's aversion to repeating itself too much. e. Screwing around with RoPE alpha and scale values can damage A place to discuss the SillyTavern fork of TavernAI. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in 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. 1. Repetition Penality Range: 0. Frequency Penalty Decreases repetition. the most i've managed to rack up in charges is like, $2 in one day. These settings discourage the model from repeating the same words or phrases, Environment 🪟 Windows System Chrome 131 Version SillyTavern 1. however, it is pretty cheap for what it is. In 1. 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 SillyTavern is a fork of TavernAI 1. Learn more: https://sillytavernai Too high temp, and a too high/too low repeatition penalty. invalid request: only one of ‘presence_penalty’ and ‘frequency_penalty’ can be specified for this model. 4 or later. Top P Sampling: 0. File size: 4,020 Bytes 9a16162 . 0. Claude: added a config. Dynamic Temperature I have it disables Temperature is too low: set it at 1. Values between 0. Reply More posts you may like. 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. 1 is out! The latest RP-focused model by the creator of Fimbulvetr Version: 1. Small values can still have vast effects on your AI generations, cutting out too many tokens and resulting in gibberish outputs. And imo the Max Response Length is too high, I recommed putting it on 400, but that depends of how long you want the responses of the bot to be. 7 to keep your text fresh and engaging. By the end of this article, you’ll be an expert on five essential Requirements: SillyTavern 1. Reply reply Looks like I had temp 0. 5k though. 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. , relative marker) to how often a particular token has been generated. 00-1. SillyTavern-Presets. So far, randomness 1 and frequency penalty 2-3 is pretty good so far. The API docs indicate that the range of possible values for presence_penalty and frequency_penalty is from -2. Reply reply Goldkoron How many tokens from the last generated token will be considered for the repetition penalty. \n\n Only mention characters by using pronouns ('he','his','she','her','it','its') or neutral nouns ('male', 'the man', 'female', 'the woman'). How are you feeling this morning? Yeah, good" After Frequency Penalty. Saved searches Use saved searches to filter your results more quickly {"payload":{"allShortcutsEnabled":false,"fileTree":{"public":{"items":[{"name":"KoboldAI Settings","path":"public/KoboldAI Settings","contentType":"directory"},{"name In SillyTavern, click the API connections button and switch the API to OpenAI. 1 Single-line mode = false/off Reply reply AE_Phoenix Sillytavern world info SillyTavern is a fork of TavernAI 1. At this point they can be thought of as completely independent programs. Last updated 3 months ago. will be penalized the most. Image by the author. Google MakerSuite: added custom API URL control. 0 API: KoboldAI Branch: Staging Model: Magnum-Picaro-0. It scales the token scores down, effectively penalizing words that appear too often, thus ensuring a more varied language throughout the dialogue. getEngine method. Also add in every character (Personality summary) following: {{char}} does not switch emotions illogically. Min-P Higher values chop off more probabilities. This section is intended as a practical guide for choosing your model’s input parameters. 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. Version. However, I’m unsure about the meaning of the value range for these penalties. Learn more: https://sillytavernai Add an option to unlock the repetition penalty and temperature sliders, like what already exists with token length. Learn more: https://sillytavernai You should be able to use frequency penalty, around 0. 002/per 1K tokens. Frequency_penalty: 0. but yeah, it's definitely not free. 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. Generation API - llama-cpp; Describe the problem. Write a response that appropriately completes the request. Positive values: Increase the likelihood of discussing new Haven’t touched sillytavern in a good 3-4months, getting the urge to come back again. 5-turbo model. Type /help in chat for commands and macros. Today I bring you a faster and optimized version of ITSNOTPOEVER-ST, originally developed by 4e4f4148. 02000 Repetition Penalty Presence 0. 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. Start using Socket to analyze sillytavern and its dependencies to secure your app from supply chain attacks. model: 'gpt-3. 075 or lower. You need to go to the menu all the way on the left of the top menu 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. metadata. Virt-io Update README. Learn more: https://sillytavernai Members Online. Frequency penalty makes it avoid common words and phrases, so it will speak in a more peculiar or sophisticated way. Other improvements: The frequency penalty reduces the probability of a word being repeated by adjusting its logit score (ChatGPT’s internal ranking for word selection). But repetition penalties should be generally avoided as that is likely to make the model not stick to the character SillyTavern is a fork of TavernAI 1. It’s remarkable to see how quickly the probability decreases. 35) or Frequency penalty (0. 20 (more or less), and adjusted it whenever needed Reply reply There is not. Access the default API engine instance from the SillyTavern. At least 1,000 tokens. What Frequency Penalty/Temperature settings are you using? Reply reply Adorable_Sir_7498 • Same, I’m also trying to adjust those settings here and there. In SillyTavern, click the API connections button and switch the API to OpenAI. Learn more: https://sillytavernai Members Online . This trend becomes worse the further one fills the context with even values such as 0. Describe alternatives you've considered In my own experience and others as well, DRY appears to be significantly better at preventing repetition compared to previous samplers like repetition_penalty or no_repeat_ngram_size. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. 9's changelog, Min-P was hidden behind a feature flag for KoboldCPP 1. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] Nothing in "Banned Tokens" A place to discuss the SillyTavern fork of TavernAI. Temperature Feel free to play with this one, lower values are more grounded. "Schizo" can occur, in particular, due to problems with various variations of Rep Pen (including Presence Penalty, Frequency Penalty) or Min P. Tail Free Sampling: 0. 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 A screenshot showing parameter selection in the SillyTavern interface. repetition penalty: 1. Dynamic Temperature Min and Max temps, free to change as A place to discuss the SillyTavern fork of TavernAI. 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. 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. Learn more: https://sillytavernai Samplers are very limited as you have to pick either frequency penalty OR presence penalty, can't use both. 1; top K at 50; temperature of 1. 7 causes responses to become incoherent. 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. frequency_penalty: Optional, Defaults to 0 Number between -2. @ -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. This is a proxy that allows you to connect POE with SillyTavern easily. 自动化部署酒馆（PC本地 无需魔法 无需claude账号）. 000 Tail Free Sampling 0. Single-line mode = false/off. Top K Sampling: 80. tags:- For me messing around with phrase repetition and frequency/presence penalty settings got rid of it for good so far. Locate the config. now the API will be still complaining because it does not like having both the frequency penalty and presence penalty set at the same time. There are several strategies for beating repetition: SillyTavern-Presets. Model card Files Files and versions Community 8 636e8a4 SillyTavern-Presets / README. 8 which is under more active Frequency Penalty select Presence Penalty Penalty Alpha select Mirostat (mode=1 is only for llama. context_size: The Frequency_penalty and presence_penalty are two parameters that can be used when generating text with language models, such as GPT-3. System. 8 which is under more active development, and has added many major features. How many tokens from the last generated token will be considered for the repetition penalty. 7-v2 Describe the problem When banned strings is us 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. You don't need to edit the presence penalty line out in the code. 05 - 1). You can exclude that parameter directly through Sillytavern. Members Online. Top-up should always stay at 1. Learn more: https://sillytavernai Saved searches Use saved searches to filter your results more quickly Frequency and presence penalties are applied Temperature is sampled mirostat is sampled Everything else is ignored. " SillyTavern LLM Frontend for Power Users Documentation. Repetition Penalty : 1. Also, on HuggingFace, it says this model would likely perform best with the Vicuna prompting format. 5 Repetition Penalty Slope: 9. 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. Model card Files Files and versions Community 9 9a16162 SillyTavern-Presets. 1; Read on for an explanation of these settings and why they may or may not work for you as expected. 7, frequency_penalty: 0. 7, and frequency 0. 85Frequency Penalty=0. 0 and affects how the model penalizes new tokens based on their presence in the text so far. Login and Registration. roleplay. For temperature I used 0. Environment 🪟 Windows System Firefox, Win 10 Version 1. 7, presence_penalty: 0. This arguments makes it so 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. 7. 07 Repetition Penality Range: 0 Top P Sampling: 0. 2 seems to be the magic number). Streaming should work but I personally don't use it invalid request: cannot specify both frequency_penalty and presence_penalty. 0-1. I have it set to 2048. The problem with this proxy was that it was easy to use, but very slow. 2; min p of 0. If the model repeats itself within one message, Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). Repetition Penalty Slope: 9. like 256. You can keep temperature in 0. But for some characters temperature must be higher all times, so you need to experiment with each by yourself. will be penalized Frequency penalty just reduces the probability of a token. Duplicating layers is not a stable method, I think :) Temp 0. Morpheus murmured, behind his sunglasses, his eyes twinkled in mischief. message must not be empty in a turn: too many tokens: max tokens must be less than or equal to 4096, the maximum output for this model - received 8192. 3 has been released upvotes frequency_penalty: Repetition penalty that scales based on how many times the token has appeared in the context. 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. You can vary temperature up to 1. 70. L3-8B-Stheno-v3. 0 Will change if I find better results. Frequency penalty = simply mean to decrease the Chance of the model to repeat the same line verbatim. jdysx igcv eckllvg knweh jpddn har fjs sftfp bvllt tfeqr