Repetition penalty slope.

Repetition penalty slope **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. 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. py. Don't use traditional repetition penalties, they mess with language quality. - Pulled over the repetition penalty range from v3 for Krake. ) Numbers to consider. We’re on a journey to advance and democratize artificial intelligence through open source and open science. top_p: Top-p sampling value. 86 Repetition Penalty Range: 2048 Jan 5, 2025 · Try Frequency Penalty: 0. 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. " rep_pen_slope = 0. Repetition Penalty Slope: What percentage of context receives full repetition penalties. tfs: Tail free sampling value. 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. 000 Tail Free Sampling 0. 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. 967 Repetition Penalty Slope: 0. 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. most of the time once a story has gotten started). minimum: 1. I don't dare to celebrate yet, but this combination looks promising for 13B. 2 seems to be the magic number). repetition_penalty_slope = 0 args. 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. 7 Presence Penalty 0. Also Apr 28, 2023 · Repetition Penalty 1. minimum: 0. from_pretrained("gpt2") tokenizer = GPT2Tokenizer. 8 to get started. frequency_penalty – Float that penalizes new tokens based on their frequency in the generated text so far. 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. Args: repetition_penalty (`float`): The parameter for repetition penalty. 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. Slope 0 Phrase Repetition Penalty acts independently of the other repetition penalty settings. Damn Decent. When set to 0, penalties are applied uniformly to all tokens. 3 Length Penalty Choosing an appropriate repetition penalty can be challenging, as discussed inBasu et al. bf24428 over 2 years ago We’re on a journey to advance and democratize artificial intelligence through open source and open science. e. 5. typical: Typical sampling value. Google MakerSuite: added custom API URL control. 1, 1. AI Settings Top-K Sampling: 69 Nucleus-Sampling: 0. Higher values up to 2 can significantly suppress repetition but may lower sample quality. 1 rep pen, 1024 range and 0. Maybe you want to try this out and play with those settings. 5-7 use this to heavily weigh the newer tokens vs later tokens. (2021). number_show_last_actions: edit. 8. 5 Repetition Penalty Slope: 9. model = "meta-llama/Llama-2-7b-chat-hf" tokenizer = AutoTokenizer. - Eliminated the tiny hint of repetition penalty slope, since we're applying a strict range. 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. If both this and Repetition Penalty Range are above 0, then repetition penalty will have more effect closer to the end of the prompt. # Repetition Penalty. # Soft Prompts Jun 19, 2021 · Repetition Penalty Slope: use any of these numbers or ranging from (2. getLogger (__name__) Other transformations like Phrase Repetition Penalty, Repetition Penalty, or Phrase Bias are allowed to change token order, since they have different properties. 1 to 1. 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. If the Ai is repeating the story with the previous entry or from previous context: Increase Repetition Penalty or Repetition Penalty Slope. 3 (llama. 01. Fixed a bug where repetition penalty range was not being applied correctly when using Clio. After an extensive repetition penalty test some time ago, I arrived at my preferred value of 1. 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. 2; min p of 0. 99 ] With adjustments to temperature and repetition penalty, the speed becomes 1. The spreadsheet fixes the range at 1024. Frequency Penalty: Decreases the likelihood of repeated words, promoting a wider variety of terms(i think). 05. Dec 9, 2024 · Base repetition penalty value. 688 Randomness: 1. 80 Repetition Penalty Range 2048 Repetition Penalty Slope 0. 05; presence at . 어느정도 값인지는 잘 모르겠다. 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. 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. Frequency penalty at 0. import logging from typing import Any, Dict, List, Optional import requests from langchain_core. I'm using repetition penalty 1. @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. 5 to 3 for mild effect), (4-5 for a stronger effect), or (6. rep_pen_range: Repetition penalty range. param temperature: Optional [float] = 0. Hopefully NAI team addresses this before pursuing higher parameter count models, as this issue tends to worsen at 18M+ by a substantial margin. Should result in the same prose complexity, but mitigate the side effects of high repetition penalty in larger contexts (i. 5 Repetition Penalty Range: 720 Repetition Penalty Slope: 2. 06 can be to eager to stay on dialogue, while 1. 7 oobabooga's text-generation-webui default simple-1 preset uses Rep. This should reduce repetition greatly) Repetition Penalty Slope: What percentage of context receives full repetition penalties. 2). 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. 05; frequency at . 976 Repetition Penalty: 1. Phrase Repetition Penalty (PRP) Originally intended to be called Magic Mode, PRP is a new and exclusive preset option. 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. I've done a lot of testing with repetition penalty values 1. Advanced: Phrase Repetition Penalty. 07 as the default value, this may change in the future. 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. 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. local . Repetition Penalty Slope: use any of these numbers or ranging from (2. 이것은 개별적인 토큰이 아니라 토큰 시퀀스에 영향을 주는 것을 목표로 하는 새로운 반복 페널티 방법입니다. Enabled image inlining for Gemini Flash. 875 Top-K Sampling: off Nucleus Sampling: off Tail-Free Sampling: 0. 15. language_models. Temperatures seem to give results different from those in AID, so play around with it. Size of jump for piecewise discontinuous approximations. rep_pen_slope: Repetition penalty slope. 15 Repetition Penalty Range: 1168 Repetition Source code for langchain_community. 5 Tail Free Sampling: 0. Then rep_pen is applied to tokens from the 'near' group, whereas rep_pen*slope is applied to tokens from the 'far' group. 1; top K at 50; temperature of 1. 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. 18 with Repetition Penalty Slope 0! Also fixed MythoMax-L2-13B's "started talking/acting as User" issue as well. Repetition penalty range 400 Repetition penalty slope 4 I've been playing with randomness only for a while. \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. Not sure if this was already addressed, but in "Text Completion" -> "KoboldCpp", the setting "Repetition Penalty Slope" has vanished. 2–0. 2 across 15 different LLaMA (1) and Llama 2 models. 88 Settings Order: Temperature Top A Sampling Top K Sampling Typical Sampling Tail-Free Sampling Nucleus Sampling (disabled) Repetition Penalty. Repetition Penalty Slope: 9. The higher the value, the stronger the effect. 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：. Tokens closer to the most recent token cause a greater penalty. Added new models for Cohere and MistralAI. Welcome to AI21 Developer Platform! AI21 provides AI systems and foundation models designed to solve complex, real-world challenges. Repetition penalty is normally applied before all of KoboldAI's samplers. 18 with Repetition Penalty Slope 0. 08 prevents proper dialogue from being generated. from transformers import GPT2LMHeadModel, GPT2Tokenizer # 加载模型和分词器 model = GPT2LMHeadModel. 15, 1. 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. 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). 02 and dry_multiplier to 0. 2 Top K Sampling: 80 Typical Sampling: 0. Now supports multi-swipe mode. 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. Repetition Penalty Range [ 0 ~ 2048 ] 16 단위로 조절됨. 02 Repetition Penalty Frequency 0. 7 slope which provides what our community agrees to be relatively decent results across most Repetition Penalty : 1. Repetition penalty slope now applies to presence penalty and frequency penalty when using Clio. Repetition Penality Range: 0. E. from_pretrained("gpt2") # 输入文本 input_text = "The cat is sitting on the mat. 18, and 1. 5 and penalty=1. 1; Read on for an explanation 🆕 Update 2023-08-16: All of those Vicuna problems disappeared once I raised Repetition Penalty from 1. This makes the resulting optimisation. param tags: Optional [List [str]] = None ¶ Tags to add to the run trace. 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. TabbyAPI: added speculative ngram, skew sampling, and repetition decay controls. 5 Top A Sampling: 0. How many tokens from the last generated token will be considered for the repetition penalty. # Repetition Penalty Range. Slope select Repetition Penalty 6. temperature: Temperature value. { "temperature": "1. 2 1. 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. Repetition penalty range. SGS can be seen to be a convex combination of SLOPE and gSLOPE. 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. All it did was cause the tab to crash so I tried using a simple text editor. Last contents updated 9/24/2024. 52 Repetition Penalty: 3. If you want to follow the progress, come join our… Base repetition penalty value. 18, range 0, no slope. Repetition Penalty Range: Defines the range of tokens to which the repetition penalty is applied. 1; Repetition Penalty Slope: 0. 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. Tweak like: repetition penalty slope from 0. 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. 08 Repetition Penalty Range 1028 Repetition Penalty Slope 0. This behaviour can be changed using the sampling order in 1. 00", "repetition_penalty": "1. repetition_penalty = 1. 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. 01 isn't so much to stop repetition. Set value to 1 for linear interpolation or 0 to disable interpolation. getLogger (__name__) Dec 17, 2023 · Hi, I am trying to use meta-llama/llama-2-7b-chat-hf model for text generation. 9 ¶ Repetition penalty slope. Steps to change the Frequency Penalty: Sep 4, 2023 · Frequency Penalty: Taming Repetition. 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. Jun 17, 2023 · For example, it penalizes every token that’s repeating, even tokens in the middle/end of a word, stopwords, and punctuation. It complements the regular repetition penalty, which targets single token repetitions, by mitigating repetitions of token sequences and breaking loops. Screen shot of changing the setting on OpenRouter. 1, and the thing that made it just absolute be amazing for writing a repetition penalty slope of 5. 95 temp, 1. I wouldn't say it has that effect at such a low strength. repetition_penalty_range = 1024 args. Using it is very simple. 5 and Presence Penalty: 0. Penalization parameter for DG with jump penalization. 11 Dynamic Range: disabled Presence: 0. callbacks import CallbackManagerForLLMRun from langchain_core. 7 Top K: 5 Typical: 0. 3. 1 Single-line mode = false/off Repetition Penalty: 1. 1k-2k into context, counting swipes and regenerations, the model suddenly devolves into repeating a single word/character(s). 1. Attempts to curb repetition by penalizing tokens based on how often they occur in the context. This means it won't be affected by any of the other repetition penalties' settings such as Rep Pen Range and Rep Pen Slope . 95 Repetition Penalty: 2. 25, repetition penality 1. 9 # Repetition penalty slope. Randomness increases creativity but affects pacing. 02000 Repetition Penalty Presence 0. top_a: Top-a sampling value. 0 when the user has no intention of setting a penalty (repetition_penalty = 1. 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. 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. Repetition Penalty Slope [ 0. 5 (exl2) or 1. 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. Pen. 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. For reducing repetition slightly, values between 0. Repetition Penalty: P’(token) = P(token) * exp(-α * n(token)) Pros: A stronger repetition penalty. # Repetition Penalty Slope. 7 Jul 28, 2023 · 魔搭ModelScope本周社区进展： 30个模型：CodeGeeX2、openbuddy-llama2-13b-v8. In the Rocm version using rocm there is no such problem. Let’s start with Frequency Penalty. 18, Rep. 0095 Frequency: 0. Even 0. If the rep penalty is high, this can result in funky outputs. You can change it in the AI Settings tab. 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. 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. Additional info We would like to show you a description here but the site won’t allow us. 0 means no penalty. 15: 40: 1: 0: 0. The Slope slider dictates what percentage of your set Repetition Penalty and Presence penalty (which excludes Phrase Repetition Penalty) are applied to tokens. 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. 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. 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. 19 and beyond. llms. 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. 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. Notations We start by introducing the proximal operator of 0. 18, Range 2048, Slope 0. May 16, 2023 · Units balls in R 3 for the penalty functions of SLOPE (a), gSLOPE (b), and SGS (c). g: An even amount of repetition penalty is applied across the entire context of 2048 tokens. Oct 25, 2022 · 文章浏览阅读7. We present a novel dynamic programming approach, CPOP, for nding the \best" continu-ous piecewise-linear t to data. koboldai. 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. com Repetition Penalty: 1. Preamble. env. 15 simple-proxy-for-tavern's default and ooba's LLaMA-Precise presets use Rep. 00", "repetition_penalty_range": "656", "repetition_penalty_slope": "0. Subreddit for the in-development AI storyteller NovelAI. It's still there under "KoboldAI Classic" though. 7; Repetition Penalty Range: 1024; Top-P Sampling: 0. param rep_pen_slope: Optional [float] = 0. ai when using an LLM in Chat. 07. 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. 然后自己调节的参数部分：top_k = 10, temperature=1. Removed deprecated models from Perplexity Repetition Penalty: 1. Manage code changes SLOPE has been published [25]. - 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. 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. . I can open an issue when necessary. Adjusting the Frequency Penalty The default Frequency Penalty is 0. 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. Load koboldcpp order. Range: 800 Slope: 3. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens. 1-fp16、stable-diffusion-xl-base-1. We illustrate that even 2-level SLOPE (k= 2) can outperform the Lasso. The DRY sampler by u/-p-e-w-has been merged to main, so if you update oobabooga normally you can now use DRY. param rep_pen_slope: float | None = 0. cpp/koboldcpp temperature=0, top_k=1, top_p=0, top_a=0) to eliminate as many random factors as possible. slope. 9 Frequency Penalty 0. 15。 Keskar et al. 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. 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. The defaults we use for this are 1. Today, we delve into the fascinating concept of Repetition Penalty in AI text generation. 5 can Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform. 992 Repetition Penalty Range: 2048 Repetition Penalty Slope: off. param rep_pen_range: Optional [int] = 1024 ¶ Repetition penalty range. 90", "repetition_penalty_frequency": "0. 2 表示鼓励使用新词）。 temperature: 控制采样的随机性（如 0. 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. 0 (at the end of the Repetition Penalty Range). Though that section is obviously deprecated for KoboldCpp. 15 Tail Free Sampling: 0. Encoder Penalty: Adjusts the likelihood of words based on their encoding. I've just finished a lot of testing with various repetition penalty settings: KoboldAI by default uses Rep. 18 (so slightly lower than 1. The slope in koboldcpp works like this: The tokens in the rep pen range are divided into two groups, near and far. 275 Top A: 0. Is this a known issue or intentional? I didn't find any bug reports about this, so I'm not sure. Reply reply Healthy_Cry_4861 - used the recommended settings from WolframRavenwolf, which essentially is: Repetition Penalty 1. Repetition Penalty: 1. Saved searches Use saved searches to filter your results more quickly Sep 23, 2022 · Further repetition penalty testing has suggested 1. 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. 915 Phrase Repetition Penalty Aggressive Preamble set to [ Style: chat, complex, sensory, visceral, role-play ] Nothing in "Banned Tokens" 3. Set min_p to 0. 마지막으로 생성된 토큰이 해당 범위 안에 속할 경우 반복으로 간주시킵니다. Find and fix vulnerabilities Actions. 969 Typical P: 0. Repeated tokens. Interesting question that pops here quite often, rarely at least with the most obvious answer: lift the repetition penalty (round 1. Source code for langchain_community. Single-line mode = false/off Repetition Penalty: 4. 694 Repetition Penalty: 3. cpp) though I didn't see repetition penalty slope as an option Temp 1. 0. Rep. Steps to reproduce Deploy a model through any OpenAI-compatible endpoint and set the parameter repetition_penalty = 1. Write better code with AI Code review. 1 to 1 are typical. 6 ¶ Temperature repetition_penalty_slope: edit. 0). However, it seems to have a noticeable impact on what I would call the "creative flair" of the model. 5 Tail-Free: 0. KoboldCpp: added repetition penalty slope control. 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. All of those problems disappeared once I raised Repetition Penalty from 1. 06 Phrase Repetition Penalty: Medium Top A: 0. 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. KoboldAI also inherited repetition penalty slope and repetition penalty range from Clover Edition. Higher values penalize words that have similar embeddings. We are the first to evaluate this penalty for detection at a Nov 11, 2024 · This bug introduces a pretty hefty frequency_penalty = 1. (2019)’s repetition penalty when avail-able. 56 Max Output Length: 60 Min Output Length: 20 Tail-Free Sampling: 0. ai/search (semi nsfw)) versus the interface prompts. 07 Repetition Penality Range: 0 Top P Sampling: 0. Sep 29, 2024 · SillyTavern is more geared to chat based interactions using character cards (see also: https://chub. But you might want the temp higher, or the repetition penalty slightly lower, depending on what scenario you have the bots in. 1; range at 2048; slope at 0. Set the value to 1 to disable its effect. 1–0. 1. from_pretrained Randomness: 0. Look at the Token Probabilities viewer, and compare the probabilities Before and After. top_k: Top-k sampling value. repetition_penalty_slope | number | Optional | Defaults to 0, disabled NEW Number between 0 and 1. This highlights the difficulty in developing screening rules for SLOPE. Current testing suggests that 1. cpp) though I didn't see repetition penalty slope as an option { "scenarioVersion": 3, "title": "Sigurd and Euterpe chat template", "description": "", "prompt": "Sigurd: Hello. llms import LLM logger = logging. 9; Disable all other samplers; All feedback and comments can be directed to Concedo on the KoboldAI discord. 1 to 0. 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". 09 Tail-Free Sampling: 0. 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. Additionally, k-level SLOPE is a sub-class of (k+ 1)-level SLOPE, and larger kleads to better performance but requires longer computation time. Additionally seems to help: - Make a very compact bot character description, using W++ - Include example chats in advanced edit Repetition penalty range. 00 ~ 9. 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. Phrase Repetition Penalty acts independently of the other repetition penalty settings. Top P Sampling: 0. 10, Rep. Thank you! May 18, 2023 · args. Slope 0. 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. 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. Experiment from there. hcfvy qdybt wnsk csyxhr exuwx vmox jbtx xhmgem biy ffjy

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