Llama repetition penalty Examples: 给我讲一个笑话 答：一位家长找到老师说：“孩子最近成绩下降了。” 老师答道：“因为你们家的网速变快了; 给我另一个与之前完全不同的笑话 答： Depends on the repetition penalty implementation which depends on the backend and isn't uniform across Transformers, llama. Jul 7, 2023 · Repetition Penalty: Repetition penalty is a technique that penalizes or reduces the probability of generating tokens that have recently appeared in the generated text. 更新：所有代码都放在了github上，更方便实现： ————————— LLM大语言模型 Generate/Inference生成或者说推理时，有很多的参数和解码策略，比如 OpenAI 在提供GPT系列的模型时，就提供了很多的参数 ，那这些参数的原理以及代码上怎么实现的呢？ It seems when users set the repetition_penalty>1 in the generate() function will cause "index out of bound error". 4. 5, no_repeat_ngram_size=3). 05 and no Repetition Penalty at all, and I did not have any weirdness at least through only 2~4K context. What's more important is that Repetition Penalty 1. repetition_penalty, I'm using Llama for a chatbot that engages in dialogue with the user. is penalized) and soon loses all sense entirely. Just consider that, depending on repetition penalty settings, what's already part of the context will affect what tokens will be output. ) repetition_penalty: float = Field (description = "Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it. cpp literally has a comment stating that the research paper's proposal doesn't work without a modification to reverse the logic when it's negative signed. This is done by dividing the token if it is above zero, and multiplying it by the penalty if it is below zero. 18 turned out to be the best across the board. Note that diversity_penalty is only effective if group beam search is enabled. After an extensive repetition penalty test some time ago, I arrived at my preferred value of 1. I think it is caused by the "<|image|>" token whose id is 128256, and meta-llama/Llama-3. cpp , which is a C/C++ re-implementation that runs the inference purely on the CPU part of the SoC. With a lot of EOS tokens in the prompt, you make it less likely for the model to output it as repetition penalty will eventually suppress it, leading to rambling on and derailing the chat. I’ve used the repetition_penalty=1. repetition_penalty number min 0 max 2. In my experience it's better than top-p for natural/creative output. 18, Rep. Sep 26, 2023 · Repetition Penalty: repetition_penalty discourages the model from repeating the same token within a short span of text. Jun 2, 2023 · I really like the library, but I'm using base LLaMa and not being able to set repetition_penalty makes it almost useless for me. encoder_repetition_penalty (float, optional, defaults to 1. 10, Rep. Model description BELLE-LLAMA-7B-2M-enc is based on LLAMA 7B and finetuned with 2M Chinese data combined with 50,000 pieces of English data from the open source Stanford-Alpaca, resulting in good Chinese instruction understanding and response generation capabilities. Higher temperature makes the output distribution more uniform , so you are likely to get more diverse generations, but at the same time, you risk they will not make CTranslate2. 2-1. 2 across 15 different LLaMA (1) and Llama 2 models. specifying a particular function choice is not supported currently. 1 # without this output begins repeating) Start coding or generate with AI. Decreases the likelihood of the model repeating the same lines verbatim. 18, Range 2048, and Slope 0 is actually what simple-proxy-for-tavern has been using as well from the beginning. cpp, etc. 💻 Because you have your temperatures too low brothers. By using the transformers Llama tokenizer with llama. Also, mouse over the scary looking numbers in the settings, they are far from scary you cant break them they explain using tooltips very well. The DRY sampler by u/-p-e-w-has been merged to main, so if you update oobabooga normally you can now use DRY. 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 project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc. Pen. Increases the likelihood of the model introducing new topics. 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 11B multimodal? Yes, Llama 3. . cpp (locally typical sampling and mirostat) which I haven't tried yet. Jul 26, 2023 · Adding a repetition_penalty of 1. So not exclusively a 'better' repetition penalty. 🗓️ 线上讲座：邀请行业内专家进行线上讲座，分享Llama2在中文NLP领域的最新技术和应用，探讨前沿研究成果。. Default value: 1. Llama is a family of Jun 17, 2023 · Hello everyone, I am currently working on a project in which I need to translate text from japanese to english. However, I haven’t come across a similar mathematical description for the repetition_penalty in LLaMA-2 (including its research paper). ChatGPT: Sure, I'll try to explain these concepts in a simpler way, using non-technical language. Slope 0. See this paper for more details. While initializing the model I am setting max_new_tokens parameter as 512 as below: llama_llm = transform tool_choicestring. These are way better, and DRY prevents repetition way better without hurting the model. 02). word2vec_db（embeddingの計算に使用されるvectorstore。 Apr 2, 2023 · I set --repeat_last_n 256 --repeat_penalty 1. auto is the default if functions are present. Interesting. I think the raw distribution it ships with is better than what Min P can produce. The following are the parameters provided by Meta AI for Llama 3: Temperature. However, after a while, it keeps going back to certain sentences and repeating itself as if it's stuck in a loop. Much higher and the penalty stops it from being able to end sentences (because . There's freq pen and others that all have their own unique tradeoffs, and I hope to make something simpler than all of those that could help Jan 4, 2024 · 我重新微调了qwen-14b-chat, internlm-20b-chat，都是这个现象，原始模型（非Loram）没有这个问题. Source. An We would like to show you a description here but the site won’t allow us. Use min-P (around 0. 1. Keskar et al. " ) additional_kwargs : Dict [ str , Any ] = Field ( default_factory = dict , description = "Additional kwargs for the Replicate API. cpp recently add tail-free sampling with the --tfs arg. Special tokens. Transformers parameters like epsilon_cutoff, eta_cutoff, and encoder_repetition_penalty can be used. Try KoboldCPP with the GGUF model and see if it persists. Could anyone provide insights? Mar 20, 2023 · 129c7d1 added a repetition penalty that prevent the model to run into loops. But I think you're missing my point: you don't need Top K or any other sampler with Llama 3 to get good results if Llama 3 consistently has confident probability distributions, which it does in my experience. I used no repetition penalty at all at first and it entered a loop immediately. Its behaviour is similar to presence penalty in the sense that it is affected only by existence and not frequency. Jun 5, 2023 · for 3, llama7b prone to output repetitions and you can add repetition_penalty during generation actually, finally, recommend to use VLLM for accelerating your generation although the acc may get lower. Alternatives The best alternative to LLaMA_MPS for Apple Silicon users is llama. Max tokens I've just finished a lot of testing with various repetition penalty settings: KoboldAI by default uses Rep. cpp directly, but with the following benefits: More samplers. 1 and no Repetition Penalty too and no problem, again, I could test only until 4K context. Jul 26, 2023 · Penalty for repeated words in the generated text; 1 is no penalty, values greater than 1 discourage repetition, and less than 1 encourage it. 1, and making the repetition penalty too high makes the answer nonsense. Oct 18, 2024 · There are additional methods to control repetitive outputs: frequency penalty and presence penalty. Would you mind implementing the repetition penalty? Please note that you'll need to replace repetition_penalty with repeat_penalty in the model_kwargs dictionary, as that's the correct parameter name according to the LangChain codebase. 0 object. 15 simple-proxy-for-tavern's default and ooba's LLaMA-Precise presets use Rep. Users should be ready to expand their swapfiles if they don't have enough RAM. If you divide by 0, the behaviour would most definitely be undefined. Then it did it again. repetition_penalty（重复惩罚）是一种技术，用于减少在文本生成过程中出现重复片段的概率。它对之前已经生成的文本进行惩罚，使得模型更倾向于选择新的、不重复的内容。以下是 repetition_penalty 的工作原理： repetition_penalty= 1. Is this a bug, or am I using the pa Meta AI provided some parameters that we can apply in prompt engineering to control the model output. 2) through my own comparisons - incidentally Repetition penalty settings (--repetition_penalty, default 1. frequency_penalty number min 0 max 2. For answers that do generate, they are copied word for word from the given context. 0, Min-P at 0. 2 and that fixed it… for one message. Slope 0 Jul 26, 2023 · Adding a repetition_penalty of 1. While testing multiple Llama 2 variants (Chat, Guanaco, Luna, Hermes, Puffin) with various settings, I noticed a lot of repetition. 2 1B multimodal? No, Llama 3. --top_k 0 --top_p 1. 05) and DRY instead. 05 to 1. I've done a lot of testing with repetition penalty values 1. A value of 1. They are basically independent hyper-parameters of the decoding, but applied after each other. repetition_penalty – Float that penalizes new tokens based on whether they appear in the prompt and the generated text so far Mar 12, 2023 · TL;DR: Temperature is applied after repetition penalty, so it smoothes out its effect. cpp#3538 - which could have contributed to the excessive repetition issues so many Llama 2 models exhibited), I'd happily test going without repetition penalty. 0) — The paramater for encoder_repetition_penalty. " It's division, normalised over all token probabilities. We are the first to evaluate this penalty for detection at a Sep 12, 2023 · It's not about longer words. Oct 2, 2024 · repetition_penalty: discourages repetition in the output, top_p : enables nucleus sampling, selecting tokens from the smallest set whose total probability mass adds up to 0. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens. Aug 25, 2023 · Hello all, I'm using llama2 7b chat huggingface model and I want to restrict the output token size to a specific value such as 512. I am using MarianMT pretrained model. Output. 18, and 1. 18 increases the penalty for repetition, making the model less Tried here with KoboldCPP - Temperature 1. So I upped the repetition tokens from 256 to 512 and it fixed it for one message, then it just carried on repeating itself. This remains the same with repetition_penalty=1. Upped to Temperature 2. Sampling. 2). 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. The key is to disable top-P, top-K and user very low repetition penalty (around 1. none means the model will not call a function and instead generates a message. 0 means no penalty. Mar 10, 2023 · Hello, Thank you for this implementation, it is nice being able to experiment with things, even without GPUs at hand. This is Dec 11, 2024 · Is Llama 3. Is Llama 3. Penalty for repeated tokens; higher values discourage repetition. I switched up the repetition penalty from 1. 9. They both give penalty by subtracting some amount from logits, while repetition penalty scales the logits (See Code 1). 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. Apr 27, 2023 · 详细描述问题 我使用转换为hf的原版Facebook的LLama权重和本库开源的中文LLama lora合并得到中文LLama模型 Apr 21, 2023 · 如何动态去设置temperature，top_p和repeat_penalty等参数，就是每次生成结果的时候，可以动态去调整这些参数的值 Llama. Oct 18, 2023 · If you think no repetition penalty would be better (now that llama. 18 (so slightly lower than 1. cpp's tokenizer bug that messes up EOS and other special tokens is fixed - ggerganov/llama. 15) On my Ubuntu machine with 64 GB of RAM and an RTX 4090, it takes about 25 seconds to load in the floats and quantize the model. 7 oobabooga's text-generation-webui default simple-1 preset uses Rep. 2 8B is also a text-only model and does not support multimodal functionality. Additionally, frequency penalty is applied based on the number of repetitions, whereas the others only penalize based on presence. frequency_penalty – Float that penalizes new tokens based on their frequency in the generated text so far. 0) — The parameter for repetition penalty. 0 --tfs 0. Frequency/presence penalties, unlike repetition penalty, are based on subtraction. Here are a few suggestions for possible enhancements: One issue with the interactive mode is that the repetition penalty is affecting the anti-prompt and response prefix, causing the model to generate unnecessarily long responses. Aug 3, 2024 · I see many people struggle to find a sweet spot for LLama 3. They also added a couple other sampling methods to llama. but we have now added Llama 2 70B Chat to the LangChain library. 95 --temp 0. 1-1. Subreddit to discuss about Llama, the large language model created by Meta AI. - Repetition Penalty This penalty is more of a bandaid fix than a good solution to preventing repetition; However, Mistral 7b models especially struggle without it. Sep 28, 2023 · repetition_penalty. My problem is that, sometimes the translated text repeat itself. (2019)’s repetition penalty when avail-able. 5 parameter to stop this effect, it seems to works fine for the moment. Controls which (if any) function is called by the model. 5） 5. 2 1B is a text-only model and does not have multimodal capabilities. 1 or greater has solved infinite newline generation, but does not get me full answers. Also increase the repeated token penalty. none is the default when no functions are present. generate function. Typically in the instruction tuned models then encode a stop token which accomplishes what you are attempting to do with the repeat penalty. It is now about as fast as using llama. Dec 17, 2023 · If setting requency and presence penalties as 0, there is no penalty on repetition. 9). Aug 10, 2023 · 试着调整一下 repetition_penalty 重复惩罚这个参数，我将其配置为 1. presence_penalty number min 0 max 2. 1 samplers. 1, 1. 15, 1. 6, Min-P at 0. , to accelerate and reduce the memory usage of Transformer models on CPU and GPU. I haven’t had enough time to go through my entire dataset and see if In our evaluation, llama trained with smaller lr achieved better performance. If you continue to experience issues, please provide more information about the mirostat parameter and how it's supposed to be used in the LlamaCpp class. 2-11B-Vision-Instruct · Issue about using "repetition_penalty" parameter in model. frequency_penalty: Higher 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. 2 offers multimodal capabilities in its larger models (11B and 90B). Will increasing the frequency penalty, presence penalty, or repetition penalty help here? Oct 26, 2023 · penalties: presence penalty, frequency penalty / repetition penalty; schemes: top-k, top-p; Llama 2 (July 2023) Meta AI published this paper on Llama 2 in July 반복되는 토큰을 가급적 배제하겠습니다(repetition_penalty=1. auto means the model can pick between generating a message or calling a function. These parameters can improve the model's performance by controlling the output tokens instead of refining the input prompts. 1 8B multimodal? No, Llama 3. So for example, if you want to generate code, there is going to be a lot of repetition, if you want to generate markdown table, there is going to be even more repetition, similar for HTML, etc. 3 情况能有所缓解，建议 1. response string Run the script with --use_repetition_penalty=False argument to disable the penalty algorithm. 95 . Am I missing something? Beta Was this translation helpful? Sep 2, 2023 · In the llama_sample_repetition_penalty function, we expect to penalize a token based upon how many times it is used. repetition_penalty (float, optional, defaults to 1. However, I notice that it often generates replies that are very similar to messages it has sent in the past (which appear in the message history as part of the prompt). If you are not using the context setting for example oh my god I use 128k context LLMs all the time locally. 7 were good for me. The potential use cases for that are very powerful for controlling how llama behaves outside of 'prompt engineering'. public static void llama_sample_repetition_penalty(SafeLLamaContextHandle ctx, IntPtr candidates, Int32[] last_tokens, ulong last_tokens_size, float penalty) But repetition penalty is not a silver bullet, unfortunately, because as I said in the beginning, there is a lot of repetition in our ordinary lives. CTranslate2 is a C++ and Python library for efficient inference with Transformer models. 15 repetition_penalty_sustain integer I greatly dislike the Repetition Penalty because it seems to always have adverse consequences. encoder_repetition_penalty: 1 top_k: 0 min_length: 0 no_repeat_ngram_size: 0 Sep 25, 2023 · In this article, I’d like to share my experience with fine-tuning Llama 2 on a single RTX 3060 12 GB for text generation and how I evaluated the results. 5 以内. 원래 확률분포를 조금 뾰족하게 해 확률값이 높은 토큰이 살짝 더 잘 나오도록 하겠습니다(temperature=0. Repetition penalty. 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. It's very hacky, to the point where the implementation used in llama. But no matter how I adjust temperature, mirostat, repetition penalty, range, and slope, it's still extreme compared to what I get with LLaMA (1). cpp, special tokens like <s> and </s> are tokenized correctly. 我跑了1万数据条做测试，在多轮对话情况下，聊几轮到十多轮以后，输出的长度开始变短，到最后就只有十多个字，怎么问都说不详细。 Agree on not using repitition penalty. It's about being able to bias any word or short sequence (or bias positively, which I might explore later), in a way that is contextually aware. xdvhaz lfusojfm spnv tnju xsto wuvov xjahrya cklvk vorh gjdnb