Repetition penalty slope. 15-1. Slope is a great competitive game that can be an enjoyable time killer. 7 oobabooga's text-generation-webui default simple-1 preset uses Rep. Are they conflicting with eac Here's the current, complete whitelist of tokens that don't get affected by Repetition Penalty. Default to specicic model pad_token_id or None if it does not exist. Jul 18, 2023 · To break free from repetitive loops, it helps to introduce a "repetition penalty". Feb 6, 2022 · Repetition Penalty has been expanded with the much requested Slope and Range giving some much needed flexibility over the repetition penalty. Presence Penalty, on the other hand It should not be causing increased repetition, but you could try increasing the repetition penalty if you find that to be the case. With no repetition penalty, the model repeats the phrase “As the character excitement and wonder” for the creative writing task in the example notebook. tail_free_sampling = 0. 그 값은 1. A higher value leads to more diverse and varied output. 15 Tail Free Sampling: 0. Tweak like: repetition penalty slope from 0. From my experience, a rep penalty of 1. Aug 10, 2023 · The adjusted repetition penalty settings also fixed issues with other models I experienced recently, like MythoMax-L2-13B talking/acting as the user from the start, so it's not just Vicuna 13B v1. GPT-4 (March 2023) OpenAI published this technical report on GPT-4 in March 2023, and the OpenAI API had the same preset options as before. 06 Phrase Repetition Penalty: Medium Top A: 0. rep_pen_slope: Repetition penalty slope. If you ask your smart speaker to tell you a joke every day, you'll get tired of hearing "Why 7 8 9" back to back. 0 Feb 6, 2022 · Repetition Penalty has been expanded with the much requested Slope and Range giving some much needed flexibility over the repetition penalty. 0 이상이어야 하며 클 수록 페널티가 세게 적용됩니다. 0) # needs to be float Oct 23, 2023 · The decoding algorithm is critical for open-ended text generation, transforming latent representations into coherent and meaningful outputs. 15 (not my settings just an example) Reply FluffyMacho Repetition Penalty: 4. Mar 29, 2023 · Frequency penalty is a parameter that controls the repetition of words or phrases in the generated text. 18 turned out to be the best across the board. 85 Max output: 60 tokens Min output: 10 Oct 26, 2023 · The same presets were generally possible as on the OpenAI API, except frequency penalty was often referred to as repetition penalty again, and top-k was included too. Hi there, my question is: are frequency/repetition penalization parameters affected by the input prompt? To make it clear, suppose I set repetition_penalty=1. However, by setting the penalty to 2, the repetition stops: Aug 25, 2023 · Add an option to unlock the repetition penalty and temperature sliders, like what already exists with token length. Alternative Repetition Penalty. This can break responses if set too high, as common words like "the, a, and," etc. A higher value (closer to 1) makes the AI avoid repeating words or phrases, while a lower Repetition Penalty Range disabled Repetition Penalty Slope disabled Trim AI responses disabled Reply SenSenSen Dec 25, 2023 · To reduce doctors’ workload, deep-learning-based automatic medical report generation has recently attracted more and more research efforts, where deep convolutional neural networks (CNNs) are employed to encode the input images, and recurrent neural networks (RNNs) are used to decode the visual features into medical reports automatically. In your case, it could be. rep_pen_range: Repetition penalty range. 0 and I want to avoid the excessive repetition of the word ‘dog’, which is present in my input prompt. repetition_penalty라는 인자를 주면 됩니다. chatglm3-6b-32k,max_tokens=32000,容易出现,减小设置,出现 Base repetition penalty value. I have read many articles on this topic, but none of them explained them as clearly and easily as GPT-4. If you set the value to a value greater than 1, it should help. 5 16K that benefited from the change. Now Repetition Penalty Slope. 0 (maximum penalty) Default: 1. In order to make selecting the AI's various generation settings easier, NovelAI offers several generation presets. This should reduce repetition greatly) Phrase Repetition Penalty acts independently of the other repetition penalty settings. Length Preference - values below 1 will pressure the AI to create shorter summaries, and values over 1 will incentivize the AI to create longer summaries. 9 Repetition Penalty: 3. The standard value for chat is approximately 1. I generally only use presence penalty = 1, or no repetition penalty at all, but if you want to use the standard repetition penalty, then I recommend a value of 1. param rep_pen_slope: Optional [float] = 0. 5 Repetition Penalty Slope: 9. Quantized inference code for LLaMA models. 5 Tail Free Sampling: 0. Between 1. typical: Typical sampling value. 2, you can go as low as 0. I've done a lot of testing with repetition penalty values 1. cpp) I've just finished a lot of testing with various repetition penalty settings: KoboldAI by default uses Rep. 设置temperature:0. 7 Samplers Order: Repetition Penalty Top K Top A Tail Free Sampling Typical Sampling Top P Temperature CPU and RAM: i7-9750H, 16GB GPU: GTX 1660 Ti Not sure if this was already addressed, but in "Text Completion" -> "KoboldCpp", the setting "Repetition Penalty Slope" has vanished. # Soft Prompts Dec 17, 2023 · The formula provided is as below. 0 to disable) ETA Cutoff. 6. 09 Tail-Free Sampling: 0. json CHANGED. This might be the cause of the warning. The more a token is used within generation the more it is penalized to not be picked in successive generation passes. 3 temp and still get meaningful output. 2. Repetition Penalty Slope: use any of these numbers or ranging from (2. max_new_tokens (Default: None). [General] Max New Tokens: 300 Max Context Length: 8000 (make this lower if you're not on Opus plan) Stream Response: True [Advanced] (anything not listed is default and disabled) Temperature: 1. 5-7 use this to heavily weigh the newer tokens vs later tokens. Dec 25, 2023 · To reduce doctors’ workload, deep-learning-based automatic medical report generation has recently attracted more and more research efforts, where deep convolutional neural networks (CNNs) are employed to encode the input images, and recurrent neural networks (RNNs) are used to decode the visual features into medical reports automatically. top_p: Top-p sampling value. minimum: 1. 15 Repetition Penalty Range: 1168 Repetition Mar 9, 2024 · Repetition penalty and slope have been significantly increased after running a larger range of tests Dropped CFG even as an alternate version because having two versions confused people about which one to use (and while I like it in some circumstances, it was too much of a mixed bag to make a part of the default) Repetition Penalty Slope: 0. May 20, 2023 · model. This should also be added to repetition penalty range, as it's seemingly limited to 2048 tokens currently. top_k: Top-k sampling value. 5. Thus, the penalty achieves exactly the opposite of what it is supposed to do. Float (0. Ban EOS token = false for chat mode, for long output must be ON. 05 Repetition Penalty seems to be a nice sweet spot for me atm. #385. Set value to 1 for linear interpolation or 0 to disable interpolation. 2023-08-19: After extensive testing, I've switched to Repetition Penalty 1. Additional info Jun 17, 2023 · If the repetition penalty is high, the model could end up writing something weird like “ the largest country in the America”. minimum: 0. 5 Top A Sampling: 0. Current testing suggests that 1. The token range to apply the repetition_penalty and repetition_penalty_slope AI Settings Top-K Sampling: 69 Nucleus-Sampling: 0. 1-1. sampler_order: Array of integers representing the Repetition Penalty - high numbers here will help reduce the amount of repetitious phrases in the summary. 33 was always being used when generating with Clio. 7B model you will need to have the slider much closer to 2 on repetition penalty and if your playing with a generic model like the ones on the main menu you also need to give it a longer introduction including some example responses tge AI should do. Min-p is far more flexible with high temperatures than other samplers and the added randomness might push you out of any loops. 2 Top K Sampling: 80 Typical Sampling: 0. 2 seems to be the magic number). model. Files changed (1) config. Contribute to madahari/llama-int8 development by creating an account on GitHub. Thank you! Dec 24, 2019 · In the output, the word dog is repeated multiple times. will be penalized the most. (refer to pr 1424) However, openai-python also graded to v1 several days ago. This setting controls the tension of the sigmoid curve; higher settings will result in the repetition penalty difference between the start and end of your Jun 14, 2023 · If this is the case, use the repetition penalty parameter to help reduce repetition. Fixed a bug where a repetition penalty of 1 would prevent presence penalty and frequency penalty from working when using Clio. Just note that some parameters that change the output of the generate command would break things I think (like num_beams ). It’s like telling the computer, “Hey, don’t repeat the same words too much. 32 + vllm 0. param temperature: Optional [float] = 0. 리피티션 패널티(repetition penalty)라는 방식으로 반복을 통제할 수도 있습니다. 20) Repetition Penalty Range 2048 (didn't found any difference but i use that) Repetition Penalty Slope 0. 15, 1. danilopeixoto opened this issue on Jan 29 · 9 comments · Fixed by #399. 86 Repetition Penalty Range: 2048 In a few words, the Repetition-Penalty Slope values determines how many tokens will be considered in regards to something being repetitive -- how great or small the amount of repetition is necessary to meet the penalty. Repetition Penalty Slope: 9. You should be able to use anything in the "Parameters for manipulation of the model output logits" section at https://huggingface. Moving Story Forward: Randomness:0. 18 until there is a better way'. But I can’t see where to set this parameter in the Trainer API (Seq2SeqTrainer). Oct 17, 2023 · 4. 05. I managed to make a little spreadsheet that gives me a graph of what the adjusted repetition penalty actually looks like: That there is what it looks like with slope=0. Supported values: Floating-point number in the range 1. You can extend the slope curve beyond the beginning of the input text by specifying repetition_penalty_range that is bigger than the current input tokens count (however, repetition_penalty_truncate_to_input must be set to false in this case). However, determining the optimal repetition penalty value is challenging. Indigo1 February 14, 2022, 3:53pm 1. I tried 1. 3 (llama. Nov 28, 2023 · The warnings you're seeing are due to the fact that mirostat and repetition_penalty are not default parameters for the LlamaCpp class in the LangChain codebase. Set the value to 0 to disable its effect. # Changing Summary Model Jul 20, 2021 · The number of generated tokens is subtracted from the context window size, don't set it high. 06 can be to eager to stay on dialogue, while 1. 7 + fastchat 0. The main downside is that on low temps AI gets fixated on some ideas and you get much less variation on "retry". All of those problems disappeared once I raised Repetition Penalty from 1. 15 (or 1. 0 means no penalty. Typical Sampling: 0. 969 Typical P: 0. Top K Sampling: 80. 8; PyTorch version: 1. In my experience, repetition in the outputs are an everyday occurance with "greedy decoding" This sampling, used in speculative decoding, generates unusable output, 2-3x faster. notsure0miblz. ) '. This paper investigates the self-reinforcement effect in text generation and the effectiveness of a repetition penalty to mitigate it. Phrase Repetition Penalty. Tail Free Sampling 0. 694 Repetition Penalty: 3. This game is not difficult and you do not need to spend a lot of time learning how to play it. This means it won't be affected by any of the other repetition penalties' settings such as Rep Pen Range and Rep Pen Slope . How many tokens from the last generated token will be considered for the repetition penalty. Is this a known issue or intentional? I didn't find any bug reports about this, so I'm not sure. 2. 4. config. 1 Repetition Penalty and it was close but still a bit too dumb / random. 875 Top-K Sampling: off Nucleus Sampling: off Tail-Free Sampling: 0. 1 rep pen, 1024 range and 0. 0, temperature=0. With adjustments to temperature and repetition penalty, the speed becomes 1. 5 Repetition Penalty Range: 720 Repetition Penalty Slope: 2. mu[j] -> mu[j] - c[j] * alpha_frequency - float(c[j] > 0) * alpha_presence. ( Phrase Repetition Penalty isn't affected by this list and will still penalize those tokens, if they're in reocurring token sequences. But encoder_repetition_penalty - Used to penalize tokens that are not in the prior text. Slope: 0. 9,设置top_p:0. Add %. Mar 10, 2012 · Or maybe both encoder_repetition_penalty and repetition_penalty, depending on your use case (the former acts on the input text of mt5, Jul 17, 2023 · Description. Comments (4) henk717 commented on June 16, 2023 1 . Dec 26, 2023 · sampling params: SamplingParams(n=1, best_of=1, presence_penalty=0. Control the green Repetition Penalty Slope. 56 Max Output Length: 60 Min Output Length: 20 Tail-Free Sampling: 0. Does the repetition penalization take Help Help; Support; Community forum; Keyboard shortcuts ? Submit feedback; Sign in I used to think that, but one of the Transformers devs (Joao Gante from HF) told me that it is "only applied at most once per token" within the repetition penalty range, so it doesn't matter how often the number 3 appears in the first 5 questions, as long as the repetition penalty is a "reasonable value (e. I do think the output is now better than what I had previously. 2 are good values. Oct 18, 2023 · Since I'm doing a lot of model comparisons and tests with multi-turn chats, I use deterministic settings (do_sample=false with oobabooga's text-generation-webui or with llama. Describe alternatives you've considered Repetition Penalty Range: Defines the range of tokens to which the repetition penalty is applied. 5 to 3 for mild effect), (4-5 for a stronger effect), or (6. Sep 23, 2022 · Further repetition penalty testing has suggested 1. Settings are divided into three categories: : Settings you have defined and saved, or imported. 1 #@param Nov 22, 2022 · I found that when generating sequences, it was helpful to set the <code>repetition_penalty</code> parameter. bos_token_id – (optional) int BOS token. 07 Repetition Penality Range: 0 Top P Sampling: 0. co Under API Connections -> Text Completion -> KoboldCpp, the API Response Configuration window is still missing the "Repetition Penalty Slope" setting. Nov 19, 2023 · The repetition penalty is also useful since they tend to repeat once they approach their maximum context length, with some being more affected than others. 05 over the period specified. param tags: Optional [List [str]] = None ¶ Tags to add to the run trace. 1. Just click on Play in your browser and the game will begin. If both this and Repetition Penalty Range are above 0, then repetition penalty will have more effect closer to the end of the prompt. 1, 1. 连续性输入超长文本,用个脚本不停的输入. A value Rep. 1 Single-line mode = false/off Mar 20, 2023 · This is the repetition penalty value applied as a sigmoid interpolation between the Repetition Penalty value (at the most recent token) and 1. cpp/koboldcpp temperature=0, top_k=1, top_p=0, top_a=0) to eliminate as many random factors as possible. 18 TFS applied first, then randomness/temperature Model agnostic preset done using the token probabilities viewer, debug options and some Sage advice from OccultSage, finetuned for my personal preferences. 95 #@param {type:"number"} top_k = 80 #@param {type:"number"} top_p = 0. So you can pony up cash to Google's Open AI and get a "community guidelines filtered" response, or you can put in the work to read the documentation and get an unfiltered raw # Repetition Penalty Slope. Int (0-250). Slope 0. 2 or 1. 18, range 0, no slope. We changed our mind, it was finished in time for the next release and I think it's important enough to include it. Jan 28, 2024 · Repetition Penalty Slope. If the character is fixated on something or repeats the same phrase, then increasing this parameter will fix it. Previously, the repetition penalty applied to everything you submitted to the AI. 992 Repetition Penalty Range: 2048 Repetition Penalty Slope: off. Also add in every character (Personality summary) following: { {char}} does not switch emotions illogically. As for top_p, I use fork of Kobold AI with tail free sampling (tfs) suppport and in my opinion it produces much better results than top_p Repetition Penalty 1. pad_token_id – (optional) int Padding token. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in advanced edit I grant you that the community needs slightly better documentation, BUT the people running KAI know what P-Top means and knows how to adjust Repetition Penalty Slope. 7 #@param {type:"number"} number_generated_tokens = 25 #@param {type:"integer"} repetition_penalty = 1. 3. Default to 1. Higher values penalize words that have similar embeddings. 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. Slope 0 Randomness: 0. Affects the ramping of the penalty's harshness, starting from the final token. Also, you don't need to download or buy anything. However, I haven’t come across a similar mathematical description for the repetition_penalty in LLaMA-2 (including its research paper). 0. To tackle this, we propose a forgetting Feb 14, 2022 · API. Single-line mode = false/off. 5 and penalty=1. 5 is high enough that you very well might see stuff like this happen. 5. param rep_pen_range: Optional [int] = 1024 ¶ Repetition penalty range. 976 Repetition Penalty: 1. In this important commit, openai refuses the unknown ar Repetition Penalty: Rep Penalty Range: Rep Penalty Slope: Creativity: Randomness:0. 52 Repetition Penalty: 3. 2 部署 SamplingParams采样参数:其他参数保持默认,repetition_penalty=1. Projects Groups Topics Snippets Help Jun 16, 2023 · koboldai commented on June 16, 2023 Feature: repetition penalty slope. 66 Since I've extended the penalty range as above, I wanted to more heavily weight the recent tokens than distant tokens. Here is my conversation with GPT-4 about those parameters. word2vec_db(embeddingの計算に使用されるvectorstore。 Nov 9, 2023 · I notice that about 2 weeks ago vllm has merged pr about "repetition_penalty" aligned with huggingface. 967 Repetition Penalty Slope: 0. generate(input_tokens, max_length=len(input_tokens) + 1, num_return_sequences=1, repetition_penalty = 5. This meant you needed to balance between things repeating in the short term, and it staying coherent in the long term. 08 prevents proper dialogue from being generated. 0, frequency_penalty=0. e. Environment. Combined with the increased range, this should also reduce repetition on the whole, without having to change the actual Repetition Penalty value. A token that has already appeared five times is penalized more heavily than a token that has appeared only one time. 75. The higher the value, the stronger the effect. 10, Rep. 显存不要过大,int4用8GB显存,全精度24GB显存也会出现,32GB和40GB用的很少,没注意。. 7 slope which provides what our community agrees to be relatively decent results across most --repetition_penalty_range (可选),默认为1024。重复出现token的惩罚范围。--repetition_penalty_slope (可选),默认为0。重复出现token Jun 3, 2023 · Now you can pass anything through the transformers generate, like repetition_penalty. Some kind of transition from 1 to 1. Advanced settings for temperature (randomness), tail free sampling, repetition penalty, repetition penalty slope History tab that saves (encrypted) snapshots of your work so you can rollback in case of accidents Phrase Repetition Penalty acts independently of the other repetition penalty settings. The spreadsheet fixes the range at 1024. It's still there under "KoboldAI Classic" though. This means it won't be affected by any of the other repetition penalties' settings such as Rep Pen Range and Rep Pen Slope. ”. 2 ,可以有效控制重复。 另外你可以用相同的参数测试一下 huggingface 版本的推理,我感觉不是vllm 的问题, Sep 4, 2023 · Frequency Penalty helps us avoid using the same words too often. Repetition penalty. 05 Nov 9, 2023 · Repetition is prevented by applying a high penalty to phrases or words that tend to be repeated. I can open an issue when necessary. 18, Rep. 69. I'm using repetition penalty 1. 18, Range 2048, Slope 0 (same settings simple-proxy-for-tavern has been using for months) which has fixed or improved many issues I occasionally encountered (model talking as user from the start, high context models being too dumb, repetition/looping). 35 Rep Penalty Range: 1024 Rep Penalty Slope: 6. (Set to 0. The amount of new tokens to be generated, this does not include the input length it is a estimate of the size of generated text Repetition Penalty : 1. And since repetition penalty only modifies the likelihood of the next token based on how often it appeared before in that specified range, it shouldn't completely break the model - if a word like "and", "if", or "I" is the Using repetition penalty 1. 7. 5) 5. 348 Reply egoserpentis Jan 7, 2024 · repetition penaltyを導入する動機 言語生成をする際、はじめに次トークンとしてふさわしいものを予測し、それらを確率分布の形で出力します。 つぎにtop-kやtop-pといった確率を利用した操作によって次トークンを決定するわけですが、時として貪欲に最大の Repetition penalty is responsible for the penalty of repeated words. repetition_penalty=X:重複ペナルティ(1以上だと重複しないようにモデルを調整する。1以下の場合は重複の結果が出てくる。おすすめは:1. 2 异常现象: 进行了三轮对话出现异常终止的现象 测试数据:Round1:你好 Round2 Repetition penalty for LLM inference in MLX LM #385. However, these state-of-the-art methods mainly suffer Nov 17, 2023 · I tried Repetition Penalty of 1. generate has an optional argument repetition_penalty. 1. Repetition penalty for LLM inference in MLX LM. Randomness: 0. You can also play with increasing the temp. Tail Free Sampling: 0. # Repetition Penalty Slope repetition_penalty (Default: None). If setting requency and presence penalties as 0, there is no penalty on repetition. tfs: Tail free sampling value. 07 as the default value, this may change in the future. 8 #@param {type:"number"} temperature = 0. Mirostat = 1 (but you need to check which is best for you. 9 ¶ Repetition penalty slope. Fixed a bug where repetition penalty range was not being applied correctly when using Clio. from koboldai-client. I’d say you should proofread a bunch of your model’s outputs and lower the rep penalty if you do. 0 Base repetition penalty value. 688 Randomness: 1. g. 1 to 0. Try something like 1. It can be noticed that the higher the repetition_penalty, the more likely already occurring words are to be repeated. json +1 -0. 15. 0, repetition_penalty=1. 0 - 1. 18, and 1. However, these state-of-the-art methods mainly suffer When set, the penalty lowers the probability scores of tokens that were recently used so that the model is less likely to repeat them. Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). 3f to allow for another decimal place for Typical. I do see the note of repetition_penalty says 'this seems to operate with a different scale and defaults, I tried to scale it based on range & defaults, but the results are terrible. Here you can play the best Slope unblocked game. The LlamaCpp class does have a repeat_penalty parameter, but there is no repetition_penalty parameter. Now {"payload":{"allShortcutsEnabled":false,"fileTree":{"":{"items":[{"name":"config","path":"config","contentType":"directory"},{"name":"model","path":"model Dec 1, 2023 · repetition_penalty 这个参数是 重复惩罚的参数,设置成比如我上面说的1. The defaults we use for this are 1. Encoder Penalty: Adjusts the likelihood of words based on their encoding. 52 Advanced Context Settings Memory Prefix and Suffix: Reserved Tokens: 200 Priority: -400 Insertion Position: -12 Insertion Type: Newline Trim Direction: Do Not Trim Author's Note Prefix and Suffix: If BOTH this setting and Rep Penalty Range are set higher than 0, will use sigmoid interpolation to apply repetition penalty more strongly on tokens that are closer to the end of your story. It explained them very well without being too technical. Closed. 0 and infinity. Pen. 95 Repetition Penalty: 2. 0 If you are playing with a 2. when the Use Default Whitelist setting is active for text generation. If you are playing on 6B however it will break if you set And depending on if/how repetition penalty range is set, it will only look back at a number of tokens before the last one. In theory, it should work in conjunction with Repetition-Penalty by increasing or decreasing the amount of tokens that it will repetition_penalty_range | number | Optional | Defaults to 0, disabled NEW Number between 0 and 2048. It is not recommended to increase this parameter too much for the chat format, as it may break this format. 0). Fixed a bug where a repetition penalty slope of 3. Defaults to bos_token_id as defined in the # Repetition Penalty Range. OS: Linux; Python version: 3. 0 (at the end of the Repetition Penalty Range). YMMV, of course, but I wanted to report back my latest experiences and conclusions. temperature: Temperature value. 0-100. %0 Conference Proceedings %T Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation %A Zhu, Wenhong %A Hao, Hongkun %A Wang, Rui %Y Bouamor, Houda %Y Pino, Juan %Y Bali, Kalika %S Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing %D 2023 %8 December %I Association for Computational Linguistics %C Singapore %F zhu-etal Dec 4, 2023 · Chatglm2-6b-32k通过vLLM加速后,对话会出现异常终止的问题(但_check_stop函数中判断是eos正常终止) 部署环境:使用 langchain_chatchat 0. JP: A repetition penalty?Kai: Yes, this parameter can help penalize tokens (i. This parameter can help penalize tokens based on how frequently they occur in the text, including the input prompt. hardcoded to 1. 6 ¶ Temperature Jan 17, 2024 · Repetition penalties make your experience more enjoyable. 7, top_p=1. . Now I want to fine tune the model with my own data and I would like to include a <code>repetition_penalty</code>. 2 across 15 different LLaMA (1) and Llama 2 models. Hi, I'm using this wonderful project with Vicuna and Longchat model. Damn Decent. 0 (no penalty) to 2. 5 (exl2) or 1. 3)", it won't have a GitLab. Nov 9, 2023 · 这个问题的稳定复现是方式是:. 0 and that was much better but it tended to repeat after a bit (A common Mistral problem). Repetition Penalty Curve: 6. , words) based on how frequently Jul 29, 2023 · So repetition_penalty - Exponential penalty factor for repeating prior tokens. 1 to 1. Impersonate { {char}} and write from their point of view in the style of a novel. 15 simple-proxy-for-tavern's default and ooba's LLaMA-Precise presets use Rep. repetition_penalty – (optional) float The parameter for repetition penalty. top_a: Top-a sampling value. 45 Max output: 60 tokens Min output: 10 tokens Top-K: disabled Nucleus Sample: disabled Tail-free Sample: 0. 18 with Repetition Penalty Slope 0. 0 by default, and better to start from 0) Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. 0, top_k=-1, min_p=0. vquqntvqftqkvfesfnbg