Repetition penalty slope Frequency penalty at 0. Saved searches Use saved searches to filter your results more quickly Sep 23, 2022 · Further repetition penalty testing has suggested 1. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in advanced edit Repetition penalty range. import logging from typing import Any, Dict, List, Optional import requests from langchain_core. The Slope slider dictates what percentage of your set Repetition Penalty and Presence penalty (which excludes Phrase Repetition Penalty) are applied to tokens. 5 Repetition Penalty Slope: 9. It complements the regular repetition penalty, which targets single token repetitions, by mitigating repetitions of token sequences and breaking loops. 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. The slope in koboldcpp works like this: The tokens in the rep pen range are divided into two groups, near and far. Repetition Penalty Slope: 9. This is because the way repetition penalty slope works and is used, it makes no sense -- a lot of lorebook context is loaded at the top of the context, where repetition penalty is not applied in most settings. Higher values penalize words that have similar embeddings. Write better code with AI Code review. rep_pen_slope: Repetition penalty slope. Tweak like: repetition penalty slope from 0. 마지막으로 생성된 토큰이 해당 범위 안에 속할 경우 반복으로 간주시킵니다. Look at the Token Probabilities viewer, and compare the probabilities Before and After. " rep_pen_slope = 0. 7 oobabooga's text-generation-webui default simple-1 preset uses Rep. Single-line mode = false/off Repetition Penalty: 4. 15 Tail Free Sampling: 0. How many tokens from the last generated token will be considered for the repetition penalty. cpp and I found a thread around the creation of the initial repetition samplers where someone comments that the Kobold repetition sampler has an option for a "slope" parameter. com Repetition Penalty: 1. Jun 25, 2019 · penalty on changes in slope with an L 1 penalty, so that we penalise mean functions based on how much, rather than the n umber of times, their slop e changes. Slope 0. Removed deprecated models from Perplexity [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. 08 prevents proper dialogue from being generated. \nEuterpe: Hi!\nSigurd: How are you doing?", "tags -Lit-6B is a GPT-J 6B model fine-tuned on 2GB of a diverse range of light novels, erotica, and annotated literature for the purpose of generating novel-like fictional text. Damn Decent. 86 Repetition Penalty Range: 2048 Jan 5, 2025 · Try Frequency Penalty: 0. callbacks import CallbackManagerForLLMRun from langchain_core. Hopefully NAI team addresses this before pursuing higher parameter count models, as this issue tends to worsen at 18M+ by a substantial margin. Using it is very simple. 0). 99 ] With adjustments to temperature and repetition penalty, the speed becomes 1. typical: Typical sampling value. 02 Repetition Penalty Frequency 0. # Repetition Penalty Slope. Welcome to AI21 Developer Platform! AI21 provides AI systems and foundation models designed to solve complex, real-world challenges. This highlights the difficulty in developing screening rules for SLOPE. 1 Single-line mode = false/off Also add in every character (Personality summary) following canalso improve the conversation: {{char}} does not switch emotions Ahsen Khaliq Update app. This helps prevent repetition at the scale of the clause or sentence, or even paragraph, preventing large-scale loops from happening without causing unwanted divergence at the smaller scale. 18 with Repetition Penalty Slope 0! Also fixed MythoMax-L2-13B's "started talking/acting as User" issue as well. Now supports multi-swipe mode. 2 across 15 different LLaMA (1) and Llama 2 models. Saved searches Use saved searches to filter your results more quickly Nov 17, 2023 · With adjustments to temperature and repetition penalty, the speed becomes 1. 05; presence at . 15. Randomness: 0. The length penalty is applied to Fixed a bug where a repetition penalty of 1 would prevent presence penalty and frequency penalty from working when using Clio. 1 to 1 are typical. 95 temp, 1. I've just finished a lot of testing with various repetition penalty settings: KoboldAI by default uses Rep. 1, 1. param tags: List [str] | None = None # Tags to Aug 13, 2024 · 如果repetition_penalty大于1，减少重复词的生成概率。 如果repetition_penalty等于1，保持原有生成策略。 如果repetition_penalty小于1，增加重复词的生成概率。 三、总结. 969 Typical P: 0. model = "meta-llama/Llama-2-7b-chat-hf" tokenizer = AutoTokenizer. 어느정도 값인지는 잘 모르겠다. KoboldCpp: added repetition penalty slope control. g: An even amount of repetition penalty is applied across the entire context of 2048 tokens. repetition_penalty_slope = 0 args. 52 Advanced Context Settings Memory Prefix and Suffix: \n Reserved Tokens: 200 Priority: -400 Insertion Position: -12 Insertion Type: Newline Trim Direction: Do Not Trim Author's Note Prefix and Suffix: \n { "scenarioVersion": 3, "title": "魔王はもう倒れた件", "description": "", "prompt": "[タイトル:魔王はもう倒れた件]\n[ジャンル:異世界 Aug 25, 2024 · In models based on the mistral nemo enabling 'DRY Repetition Penalty' causes about 20 seconds of additional initialization time each time, on Radeon 6900xt. 10, Rep. For creative writing, I recommend a combination of Min P and DRY (which is now merged into the dev branches of oobabooga and SillyTavern) to control repetition. (2019)’s repetition penalty when avail-able. 5 can Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. 25, repetition penality 1. koboldai. (2021). repetition_penalty – Float that penalizes new tokens based on whether they appear in the prompt and the generated text so far We would like to show you a description here but the site won’t allow us. # Repetition Penalty Range. 97 I do make use of memory and lorebook, usually trying to format them in the following manner: Lorebook (Character) Character name [Age:xxx] [Apperance:xxx] [Traits:xxx] [Behaviour:xxx] [Backstory:xxx] (Places) Name of place 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. When set to 0, penalties are applied uniformly to all tokens. py. 7 使模型更随机，0 表示贪婪采样 SLOPE is p-level SLOPE and the Lasso is indeed 1-level SLOPE. We’re on a journey to advance and democratize artificial intelligence through open source and open science. Fixed a bug where repetition penalty range was not being applied correctly when using Clio. Repetition Penalty Range [ 0 ~ 2048 ] 16 단위로 조절됨. This setting helps AI create more engaging and diverse text by avoi --repetition_penalty_slope （可选），默认为0。重复出现token的惩罚slope。 重复出现token的惩罚slope。 --repetition_penalty （可选），默认为1. 00", "repetition_penalty": "1. 2 seems to be the magic number). sampler_order: Array of integers representing the AI chat with seamless integration to your favorite AI services Dec 5, 2023 · class RepetitionPenalty LogitsProcessor (LogitsProcessor): r""" [`LogitsProcessor`] enforcing an exponential penalty on repeated sequences. AI Settings Top-K Sampling: 69 Nucleus-Sampling: 0. 07 Repetition Penality Range: 0 Top P Sampling: 0. Steps to change the Frequency Penalty: Sep 4, 2023 · Frequency Penalty: Taming Repetition. 1; top K at 50; temperature of 1. If the rep penalty is high, this can result in funky outputs. Not sure if this was already addressed, but in "Text Completion" -> "KoboldCpp", the setting "Repetition Penalty Slope" has vanished. temperature: Temperature value. cpp) though I didn't see repetition penalty slope as an option Temp 1. 1; range at 2048; slope at 0. env. 90", "repetition_penalty_frequency": "0. 07. We illustrate that even 2-level SLOPE (k= 2) can outperform the Lasso. Imagine you’re generating a piece of text, and you notice that the model repeats certain words or phrases excessively Saved searches Use saved searches to filter your results more quickly AI Settings Top-K Sampling: 69 Nucleus-Sampling: 0. top_a: Top-a sampling value. Repetition penalty range 400 Repetition penalty slope 4 I've been playing with randomness only for a while. Today, we delve into the fascinating concept of Repetition Penalty in AI text generation. 18 with Repetition Penalty Slope 0. Maybe you want to try this out and play with those settings. 5 表示鼓励新词出现）。 repetition_penalty: 对新 token 的惩罚值，基于其在提示和生成文本中的出现（如 1. Phrase Repetition Penalty acts independently of the other repetition penalty settings. 1k-2k into context, counting swipes and regenerations, the model suddenly devolves into repeating a single word/character(s). But you might want the temp higher, or the repetition penalty slightly lower, depending on what scenario you have the bots in. Repetition Penalty: 1. param rep_pen_slope: Optional [float] = 0. getLogger (__name__) Dec 17, 2023 · Hi, I am trying to use meta-llama/llama-2-7b-chat-hf model for text generation. Additionally, k-level SLOPE is a sub-class of (k+ 1)-level SLOPE, and larger kleads to better performance but requires longer computation time. Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). Let’s start with Frequency Penalty. { "temperature": "1. 07 as the default value, this may change in the future. Randomness increases creativity but affects pacing. 2; min p of 0. You can change it in the AI Settings tab. 00 ~ 9. 01. 09 Tail-Free Sampling: 0. Repetition Penalty 1 Top-K Sampling disabled Nucleus Sampling disabled Repetition Penalty Slope disabled Trim AI responses disabled Reply The Slope slider dictates what percentage of your set Repetition Penalty and Presence penalty (which excludes Phrase Repetition Penalty) are applied to tokens. 2–0. We are the first to evaluate this penalty for detection at a Nov 11, 2024 · This bug introduces a pretty hefty frequency_penalty = 1. - Pulled over the repetition penalty range from v3 for Krake. We present a novel dynamic programming approach, CPOP, for nding the \best" continu-ous piecewise-linear t to data. May 16, 2023 · Units balls in R 3 for the penalty functions of SLOPE (a), gSLOPE (b), and SGS (c). 18, Range 2048, Slope 0. Advanced: Phrase Repetition Penalty. 0 when the user has no intention of setting a penalty (repetition_penalty = 1. cpp/koboldcpp temperature=0, top_k=1, top_p=0, top_a=0) to eliminate as many random factors as possible. minimum: 1. 2 或更高，用於減少模型生成過程中的重複內容。這一參數對文本生成策略具有顯著影響，可以改善生成的多樣性 Aug 2, 2024 · Describe the Issue The issue. If you want to follow the progress, come join our… Base repetition penalty value. Encoder Penalty: Adjusts the likelihood of words based on their encoding. bf24428 over 2 years ago We’re on a journey to advance and democratize artificial intelligence through open source and open science. Size of jump for piecewise discontinuous approximations. Attempts to curb repetition by penalizing tokens based on how often they occur in the context. ) Numbers to consider. param tags: list [str] | None = None # Tags to --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 It wouldn't paste the story in google docs. If both this and Repetition Penalty Range are above 0, then repetition penalty will have more effect closer to the end of the prompt. from_pretrained Randomness: 0. Turns out, when I use the copy to clipboard function, it copies a whole bunch of nonsensical data instead of just the story and for some reason it's enough to crash google docs on my chromebook. 1; Repetition Penalty Slope: 0. Current testing suggests that 1. 5 Repetition Penalty Range: 720 Repetition Penalty Slope: 2. ai when using an LLM in Chat. 3 Length Penalty Choosing an appropriate repetition penalty can be challenging, as discussed inBasu et al. 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. 1 Single-line mode = false/off Repetition Penalty: 1. 11 Dynamic Range: disabled Presence: 0. 이것은 개별적인 토큰이 아니라 토큰 시퀀스에 영향을 주는 것을 목표로 하는 새로운 반복 페널티 방법입니다. TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. Automate any workflow Feb 14, 2022 · repetition_penalty_range repetition_penalty_slope repetition_penalty_frequency repetition_penalty_presence order; Ace of Spade (14/02/2022) 1. 95 Repetition Penalty: 2. 7 # Default generator repetition penalty slope: rep_pen_range = 1024 # Default generator repetition penalty range: temp "repetition_penalty_frequency": 0, "repetition_penalty_presence": 0 You should now have a Clio setting in the dropdown menu named Preset Settings which should give you reasonable results but tweak them to suit your needs. 2 1. Slope applied to repetition penalty: m * (x*2-1) / (1 + abs(x*2-1 Jun 17, 2024 · 在这个例子中，repetition_penalty设置为1. 1. Repetition Penalty Slope: use any of these numbers or ranging from (2. Jun 17, 2023 · For example, it penalizes every token that’s repeating, even tokens in the middle/end of a word, stopwords, and punctuation. Even 0. llms. cpp) though I didn't see repetition penalty slope as an option { "scenarioVersion": 3, "title": "Sigurd and Euterpe chat template", "description": "", "prompt": "Sigurd: Hello. 9 ¶ Repetition penalty slope. In the Rocm version using rocm there is no such problem. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. 05. SGS can be seen to be a convex combination of SLOPE and gSLOPE. I don't dare to celebrate yet, but this combination looks promising for 13B. 688 Randomness: 1. repetition_penalty_slope | number | Optional | Defaults to 0, disabled NEW Number between 0 and 1. 7 Top K: 5 Typical: 0. param temperature: Optional [float] = 0. This means it won't be affected by any of the other repetition penalties' settings such as Rep Pen Range and Rep Pen Slope . 18, Rep. Set value to 1 for linear interpolation or 0 to disable interpolation. 2 表示鼓励使用新词）。 temperature: 控制采样的随机性（如 0. Preamble. 3. Find and fix vulnerabilities Actions. frequency_penalty – Float that penalizes new tokens based on their frequency in the generated text so far. 1 to 0. Set the value to 1 to disable its effect. 992 Repetition Penalty Range: 2048 Repetition Penalty Slope: off. 976 Repetition Penalty: 1. Dec 9, 2024 · Base repetition penalty value. 19 and beyond. 56 Max Output Length: 60 Min Output Length: 20 Tail-Free Sampling: 0. # Soft Prompts Jun 19, 2021 · Repetition Penalty Slope: use any of these numbers or ranging from (2. 0085 Yo, como algunos otros, he notado que la calidad de salida de Llama 2 tiende a degradarse a medida que aumenta el tamaño del contexto; volviéndose… 36K subscribers in the NovelAi community. Also Apr 28, 2023 · Repetition Penalty 1. Subreddit for the in-development AI storyteller NovelAI. **了解重複懲罰的功能**： 重複懲罰是一個調整參數，通常設定為 1. from transformers import GPT2LMHeadModel, GPT2Tokenizer # 加载模型和分词器 model = GPT2LMHeadModel. 5 Tail Free Sampling: 0. Rep. Pen. number_show_last_actions: edit. 15。 Keskar et al. This should reduce repetition greatly) Repetition Penalty Slope: What percentage of context receives full repetition penalties. Repetition Penalty Range: Defines the range of tokens to which the repetition penalty is applied. 9 # Repetition penalty slope. 18, and 1. If the Ai is repeating the story with the previous entry or from previous context: Increase Repetition Penalty or Repetition Penalty Slope. 3 (llama. ai/search (semi nsfw)) versus the interface prompts. E. 8 to get started. 1, and the thing that made it just absolute be amazing for writing a repetition penalty slope of 5. 重复惩罚（Repetition Penalty）是为了避免模型在生成过程中反复重复同一个词或短语的机制。它通过降低已经生成过的词的概率，减少重复。 它通过降低已经生成过的词的概率，减少重复。 Comme quelques autres, j'ai remarqué que la qualité de sortie de Llama 2 a tendance à se dégrader à mesure que la taille du contexte augmente ; de… Nov 26, 2024 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. 2 Top K Sampling: 80 Typical Sampling: 0. 1-fp16、stable-diffusion-xl-base-1. - You can also insert the a director's notes here (used for directing the Ai on the direction of the story/ scene that you want to steer the Ai towards. 1. Thank you! May 18, 2023 · args. Jan 22, 2022 · NovelAI has Repetition Penalty Slope, where tokens further from the end of context don't need to be so distinct (meaning repetition penalty gradually fades to 0 the further from context the tokens are; the slope regulates the speed of fading). top_p: Top-p sampling value. 0、CT-Transformer标点-中英文-通用-larg、ChatFlow-7B等； 10个数据集：面部遮挡多姿态人脸识别数据、多人种驾驶员行为采集数据、火焰视频数据、问答等； 4个创新应用：CodeGee 魔搭ModelScope社区 ModelScope魔搭社区 Mar 29, 2023 · Frequency penalty is a parameter that controls the repetition of words or phrases in the generated text. 875 Top-K Sampling: off Nucleus Sampling: off Tail-Free Sampling: 0. e. 1 to 1. Removed deprecated models from Perplexity Repetition Penalty: 1. Added new models for Cohere and MistralAI. Set min_p to 0. Phrase Repetition Penalty (PRP) Originally intended to be called Magic Mode, PRP is a new and exclusive preset option. Google MakerSuite: added custom API URL control. 348 I initially considered that a problem, but since repetition penalty doesn't increase with repeat occurrences, it turned out to work fine (at least with repetition penalty <1. This behaviour can be changed using the sampling order in 1. Repetition penalty is normally applied before all of KoboldAI's samplers. 08 Repetition Penalty Range 1028 Repetition Penalty Slope 0. Penalization parameter for DG with jump penalization. param rep_pen_slope: float | None = 0. getLogger (__name__) Other transformations like Phrase Repetition Penalty, Repetition Penalty, or Phrase Bias are allowed to change token order, since they have different properties. 15 (not my settings just an example) Reply FluffyMacho Under API Connections -> Text Completion -> KoboldCpp, the API Response Configuration window is still missing the "Repetition Penalty Slope" setting. 000 Tail Free Sampling 0. 06 Phrase Repetition Penalty: Medium Top A: 0. Reply reply Healthy_Cry_4861 - used the recommended settings from WolframRavenwolf, which essentially is: Repetition Penalty 1. 9; Disable all other samplers; All feedback and comments can be directed to Concedo on the KoboldAI discord. 0 in the model parameters in . Its solutions are reliable, efficient, and transparent—especially effective for long-context tasks critical to enterprises, such as: Grounded question answering across Mar 5, 2020 · Choosing the penalty for Discontinuous Galerkin. 01 isn't so much to stop repetition. Oct 25, 2022 · 文章浏览阅读7. The defaults we use for this are 1. The DRY sampler by u/-p-e-w-has been merged to main, so if you update oobabooga normally you can now use DRY. Source code for langchain_community. Repetition Penalty Slope [ 0. 0 means no penalty. 95: 1: 0 Jan 5, 2025 · 在 Hugging Face 的 Transformers 库中，Repetition Penalty 可以通过 repetition_penalty 参数设置：. 本文先对大语言模型生成参数repetition_penalty进行讲解，希望可以帮助到您。 Repetition Penalty 2. Slope select Repetition Penalty 6. This penalty works by down-weighting the probability of tokens that have previously appeared in the context window by some multiplicative fac-tor θ, resulting in less repetitive output. I have been using the model LLaMA2-13B-Tiefighter-GGUF in KobolCpp Colab with these presets, although I feel that the responses are very repetitive, the answers are extremely long having many thoughts but little dialogue and sometimes the character does not remember the previous message sending a nonsensical response. 15 simple-proxy-for-tavern's default and ooba's LLaMA-Precise presets use Rep. The higher the value, the stronger the effect. top_k: Top-k sampling value. In my experience, you will mostly get better written and longer responses from NovelAi's interface as you guide the story around, but for what a lot of people use LLMs for is chatbot style stories, with their predeveloped histories, hence Oct 19, 2024 · // 送信するデータ（APIに渡すJSONデータ） const data = {// モデルに渡す入力データ。 小説の書き出しやキャラクター設定などのテキストデータを指定する input: '吾輩は猫である。名前はまだない。', // 使用するモデルの指定 model: 'genji-jp-6b-v2', parameters: {// 入力を文字列として扱うかどうか use_string Oct 19, 2024 · // 送信するデータ（APIに渡すJSONデータ） const data = {// モデルに渡す入力データ。 小説の書き出しやキャラクター設定などのテキストデータを指定する input: '吾輩は猫である。名前はまだない。', // 使用するモデルの指定 model: 'genji-jp-6b-v2', parameters: {// 入力を文字列として扱うかどうか use_string Phrase repetition penalty seems to be doing very little in comparison to a high rep slope as well. Is this a known issue or intentional? I didn't find any bug reports about this, so I'm not sure. from_pretrained("gpt2") tokenizer = GPT2Tokenizer. 0095 Frequency: 0. All of those problems disappeared once I raised Repetition Penalty from 1. 6 ¶ Temperature repetition_penalty_slope: edit. param rep_pen_range: Optional [int] = 1024 ¶ Repetition penalty range. The spreadsheet fixes the range at 1024. Don't use traditional repetition penalties, they mess with language quality. I'm using repetition penalty 1. 9 Frequency Penalty 0. . # Repetition Penalty. Load koboldcpp order. 5-7 use this to heavily weigh the newer tokens vs later tokens. Repeated tokens. I can open an issue when necessary. @hepj987 参考一下哈，在线demo的代码和llama_inference的代码基本是一致的。 Repetition Penalty: 3 Repetition Penalty Range: 976 Repetition Penalty Slope: 2. language_models. 15: 40: 1: 0: 0. 05; frequency at . 5 and Presence Penalty: 0. KoboldAI also inherited repetition penalty slope and repetition penalty range from Clover Edition. 18, range 0, no slope. Sep 29, 2024 · SillyTavern is more geared to chat based interactions using character cards (see also: https://chub. slope. 06 can be to eager to stay on dialogue, while 1. For reducing repetition slightly, values between 0. This makes the resulting optimisation. However, it seems to have a noticeable impact on what I would call the "creative flair" of the model. Repetition Penality Range: 0. Though that section is obviously deprecated for KoboldCpp. Experiment from there. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. 7 Jul 28, 2023 · 魔搭ModelScope本周社区进展： 30个模型：CodeGeeX2、openbuddy-llama2-13b-v8. Then rep_pen is applied to tokens from the 'near' group, whereas rep_pen*slope is applied to tokens from the 'far' group. param tags: Optional [List [str]] = None ¶ Tags to add to the run trace. Higher values up to 2 can significantly suppress repetition but may lower sample quality. Use style tags to modify the writing style of the output def apply_repetition_penalty_static(logits, tokens, repetition_penalty, generated_index, gen_length, rpslope, rprange): This gets called by generate_loop_fn to apply repetition penalty to the 1D array logits using the provided 1D array of tokens to penalize Sep 25, 2024 · frequency_penalty: 根据新 token 在生成文本中出现的频率进行惩罚（如 0. Repetition Penalty: P’(token) = P(token) * exp(-α * n(token)) Pros: A stronger repetition penalty. I wouldn't say it has that effect at such a low strength. Notations We start by introducing the proximal operator of 0. 15 Repetition Penalty Range: 1168 Repetition Source code for langchain_community. Temperatures seem to give results different from those in AID, so play around with it. Yet, because of the non-separability of the penalty in SLOPE, this rule requires iterative screening during optimization, which means that predictors cannot be screened prior to fitting the model. - Eliminated the tiny hint of repetition penalty slope, since we're applying a strict range. Slope 0 Phrase Repetition Penalty acts independently of the other repetition penalty settings. 11 Rep Penalty, 1024 Repetition Penalty Range Tokens, 322 Amount generation Tokens, and 1394 Context Size Tokens It works well with all of my bots, and it's what i've done all my testing at. All it did was cause the tab to crash so I tried using a simple text editor. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens. repetition_penalty = 1. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] Nothing in "Banned Tokens" 3. Top P Sampling: 0. Manage code changes SLOPE has been published [25]. from_pretrained("gpt2") # 输入文本 input_text = "The cat is sitting on the mat. 5 Top A Sampling: 0. 5 Tail-Free: 0. 7 Presence Penalty 0. tfs: Tail free sampling value. This should reduce repetition greatly) 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. 275 Top A: 0. Screen shot of changing the setting on OpenRouter. 7 slope which provides what our community agrees to be relatively decent results across most Repetition Penalty : 1. Enabled image inlining for Gemini Flash. It's still there under "KoboldAI Classic" though. 2，意味着模型在生成文本时会轻微惩罚重复的词组，以增加生成文本的多样性。 如果repetition_penalty大于1，减少重复词的生成概率。 如果repetition_penalty等于1，保持原有生成策略。 如果repetition_penalty小于1，增加重复词的生成 repetition penalty at 1. 2) through my own comparisons - incidentally Jun 3, 2024 · The way the slope works is different from a gradual slope that the original KoboldAi uses. I've done a lot of testing with repetition penalty values 1. 15, 1. Last contents updated 9/24/2024. 18 (so slightly lower than 1. 0 (at the end of the Repetition Penalty Range). 5 and penalty=1. A higher value (closer to 1) makes the AI avoid repeating words or phrases, while a lower I was looking through the sample settings for Llama. 02000 Repetition Penalty Presence 0. If the repetition penalty is too small, it may not ef-fectively alleviate self-reinforcement, while a large one can lead to short sentences as the <eos> 2 token is sampled early. 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. 然后自己调节的参数部分：top_k = 10, temperature=1. repetition_penalty_range = 1024 args. As repetition increases, the multiple approaches zero quickly resulting in a heavy decrease in probability Phrase Repetition Penalty, or PRP is a system similar to Repetition Penalty, but it penalizes sequences of tokens as opposed to single tokens. 750 Oct 24, 2024 · Answer: 在 OpenAI API 中使用重複懲罰可以幫助降低生成文本中的重複性。以下是如何在兼容的 API 中實現這一點的步驟： 1. 88 Settings Order: Temperature Top A Sampling Top K Sampling Typical Sampling Tail-Free Sampling Nucleus Sampling (disabled) Repetition Penalty. 1–0. Additional info We would like to show you a description here but the site won’t allow us. 5 to 3 for mild effect), (4-5 for a stronger effect), or (6. 1; Read on for an explanation 🆕 Update 2023-08-16: All of those Vicuna problems disappeared once I raised Repetition Penalty from 1. 5. Repetition penalty range. 1k次，点赞5次，收藏14次。博客聚焦NLG任务推理阶段的重复问题，如翻译时出现重复词汇。介绍了问题产生原因，重点阐述一种简便解决方法，即通过源码中预置参数控制对重复token的惩罚，还通过翻译模型实例展示了不同惩罚力度下的效果。 TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. llms import LLM logger = logging. 7; Repetition Penalty Range: 1024; Top-P Sampling: 0. When slope is between 0 and 1, the tokens closest to the end of the context get full penalties while the penalty drop-off decreases as you move farther back in context. most of the time once a story has gotten started). Steps to reproduce Deploy a model through any OpenAI-compatible endpoint and set the parameter repetition_penalty = 1. 8. 0. Repetition Penalty Slope: What percentage of context receives full repetition penalties. 1 rep pen, 1024 range and 0. 2). 967 Repetition Penalty Slope: 0. 694 Repetition Penalty: 3. After an extensive repetition penalty test some time ago, I arrived at my preferred value of 1. Jul 23, 2024 · 本文将介绍几个关键参数，帮助读者更好地理解和运用 temperature、top-p、top-k、frequency penalty 和 presence penalty 等常见参数，以优化语言模型的生成效果。 文章详细解释了这些参数的作用机制以及如何在质量与多样性之间进行权衡。 Will "repetition penalty slope" make it back as a setting for KoboldCpp? It's still missing, but fortunately still there under "KoboldAI Classic". Range: 800 Slope: 3. 52 Advanced Context Settings Memory Prefix and Suffix: \n Reserved Tokens: 200 Priority: -400 Insertion Position: -12 Insertion Type: Newline Trim Direction: Do Not Trim Author's Note Prefix and Suffix: \n Jan 2, 2021 · To avoid the policy’s deviating from its original behavior too much, a KL penalty is added: $$ R(x, y) = R_\psi(x, y) - \beta\log\frac{\pi(y \vert x)}{p(y \vert x)} $$ If running online data collection, human label collection process is continued during RL fine-tuning and thus the human labelers can review results generated by the latest policy. rep_pen_range: Repetition penalty range. We de ne best based on a criterion that measures t to data using the residual sum of squares, but penalises complexity based on an L 0 penalty on changes in slope. 02 and dry_multiplier to 0. minimum: 0. local . Repetition penalty slope now applies to presence penalty and frequency penalty when using Clio. Args: repetition_penalty (`float`): The parameter for repetition penalty. Should result in the same prose complexity, but mitigate the side effects of high repetition penalty in larger contexts (i. 5 (exl2) or 1. Adjusting the Frequency Penalty The default Frequency Penalty is 0. 00", "repetition_penalty_range": "656", "repetition_penalty_slope": "0. 52 Repetition Penalty: 3. Tokens closer to the most recent token cause a greater penalty. ayjzoe ocjlsd emdjopu ipp qryeww wnq kojqnfx xskwg edwckct kgfc