Llama eos token github bug-unconfirmed low severity Used to report low severity bugs in llama. In the vocab file for llama3. None of this would have happened if I don't think the Facebook code has any need for pad tokens because it's just inference, so -1 is a null value. 79 ms llama_print_timings: sample time = 55. Contribute to zhangnn520/Llama2-Chinese development by creating an account on GitHub. Providing the logs from the browser How would you like to use vllm I was trying to utilize vLLM to deploy meta-llama/Meta-Llama-3-8B-Instruct model and use OpenAI compatible server Sign up for a free GitHub account to open an issue and contact its maintainers may I ask that eos_token should be correct when I use the latest configuration file llama3 I finetuned llama2 model using peft lora and finally merged the model and save onto the disk. Since With custom end token it trains just fine BUT the model simply refuses to predict <|end|> token, it generates its response indefenitely. 1, it looks like there's been a change with the eos_token_id config key. 55 tokens per second) You signed in with another tab or window. I'll implement 1. tokenizer. Base model pretrain doesn't have eos token? #5599. Token types, pad_token, unk_token, bos_token and eos_token are determined by SPM; Huggingface models Huggingface adds some cognitive burden with APIs; We could have at least a SPM or BPE tokenizer, determined by tokenizer_config. eos_token and model. The tokenizer. py，才有的问题 我也正在debug，后续同步下 All reactions Mistral 7x8B Instruct served by vllm and used as OpenAIlike - is sending of EOS token required I am using mistral 8x7B served via vllm. py as well as configuration_llama both set it to 2. This issue seems unrelated to #416 since the EOS token and the padding token on the bnb-4bit model have values identical to the corresponding non-bnb System Info python 3. cpp already does that, with banning of the EOS token a command line argument (--ignore-eos), as does oobabooga's text-generation-webui ("Ban the eos_token" off by default). This problem happens with the mistral and llama templates, but not with llama-3 or phi-3 . disallow_tokens(tokenizer, [tokenizer. matrixssy changed the title 请问下当前cut_off_len是直接截断句子并加上eos_token Contribute to zhaoxlpku/DASC7606-A3 development by creating an account on GitHub. as well to add support for multiple stop token ids if anyone can link a gguf file with that metadata. For chat models these differ from the normal eos outputs = pipeline( prompt, max_new_tokens=256, eos_token_id=terminators, do_sample=True, temperature=0. n_words: int = self. I've noticed that generation seems to ignore or skip end of stream tokens somehow. skip_special_tokens will work if you have the correct version of LlamaTokenizer. That got the model created, but then it wouldn't stop correctly and ended up output trash. 0 Who can help? No response Information The official example scripts My own modified scripts Tasks An officially supported task in the examp Describe the bug Llama-2-7b-hf can't stop and can't generate eos_token . But in Llama 3. LazyLlama is an implementation of dynamic token prunning from this paper using LLaMa 2 family of models as a base. eos_token_id = 2 in this case. Dynamic token pruning is a technique that helps speed up the generation of long prompts. Already have an account? Sign in to comment. Masking is applied to prevent the tokens from attending to others across the packed example boundary". hiyouga / LLaMA-Factory Public. cpp automatically So how can I preserve the model's ability to end the response when it actually has nothing more to say? In other words, how to make it able to stop when it reaches special If you want to add an EOS token, you have to add that within the data, like this: Let's start by printing out other special tokens: Unknown tokens, unk, which are not in the vocabulary. If you load bumblebee from github the repo works with the serving segment at the top of the article. Are you sure that you are using the latest scripts? The fix is just model. 1, these correspond to the characters !, \ and #. Note: This method uses the provided hiyouga / LLaMA-Factory Public. 1, eos_token_id has 3 int values. To get the expected features and performance for them, a specific formatting defined in chat_completion needs to be followed, including the INST and <<SYS>> tags, BOS and EOS tokens, and the whitespaces and breaklines in between (we recommend calling strip() on inputs to avoid double-spaces). I do need a pad token for training, but if I set the pad_token to the eos_token, like some people have recommended, the eos_token will be ignored in training. 9k. eos_token e. Unsloth has updated their Is your feature request related to a problem? Please describe. Ramblings: Navigation Menu Toggle navigation. After updating the docker image, legacy models began issuing an EOS token at the end of generation Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 9, pad_token_id = pipeline. However, In llama. The <|begin_of_text|> token should be included by llama_tokenize function with add_special = true. cpp (e. When I do inference, the model keeps on repeating the same answer or outputs too many words until Reproduction eos_token变成<|im_end|> hiyouga / LLaMA-Factory Public. Running Llama 3 with Elixir Bumblebee. 26 ms per token, 17. For the llama tokenizer the EOS token is </s>. Notifications You must be signed in to change notification New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. However, after successfully deploying the model, i see that the model won't stop generating after EOS and will keep generating EOS until it reaches the max token requested. environ['CUDA_VISIBLE_DEVICES'] = '0&#39 Sign up for a free GitHub account to open an issue and contact its maintainers and the community. g. when tokenising, complete turns are wrapped in BOS and EOS tokens. c. cpp text generation. including the INST and <<SYS>> tags, BOS and EOS tokens, and the whitespaces and breaklines in between (we recommend calling strip() on inputs to Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface. Q4_0. You signed in with another tab or window. ymcui / Chinese-LLaMA-Alpaca Public. Sign up for GitHub Llama 2 is an auto-regressive language model, based on the transformer decoder architecture. More Info: However, if I use llama. Something is WRONG. YuanDaoze Replace eos token: <|eot_id|> 07/28/2024 05:55:10 - INFO - llamafactory. Assignees title, and to be clear, does llama generate eos tokens? because when i increase the max tokens limit it kept on generating the user's questions and stuff too, although in the generator. 如何改变eos token id #4087. (eos_token, normalized=False, special=True) if isinstance(eos_token, str) This model exposes support for the ExponentialDecayLengthPenalty logit processer in the HuggingFace transformers library. The text was updated successfully, but these errors were encountered: The fine-tuned models were trained for dialogue applications. When the model outputs the EOS (for example phi-3 has <|end|>), instead of outputting the single token number, it breaks the EOS in many pieces like <| then end then |>. Notifications You must be signed in New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the end_of_text|>" if data_args. We were also discussing wether or not we can do this in transformers in #25088. I tried running the model from https://hu I find that the batches tokenized by llama's tokenizer have bos tokens but do not have eos tokens, leading to my finetuned llama do not stop properly during inference. using assigns an id of 32000 to it, which I assume is already in the vocab (which then maybe is silly to use as a pad token). Try few iterations (i. json to 128001, as @hgaong had suggested. eos_token not working for unsloth/llama-3-8b-Instruct-bnb-4bit #384. for stop_token in self. 70 ms per token, 6. In run B, I stop immediately upon seeing an EOS token, and artificially pad it with 500 EOS tokens. You signed out in another tab or window. 28. When I run inference with the By clicking “Sign up for GitHub”, Sign in to your account Jump to bottom. Please pass your input's attention_mask to obtain reliable results. data. Not sure if this modification in vocab. Loadgen, being agnostic, will count all these EOS tokens, and report 50 tok/sec. As a consequence, you may observe unexpected behavior. 16 torch 1. I tried implementing the same thing for functionary model before, but the code is very hard to maintain. 3. Update 4/22/2024: Jonatan Klosko has added multiple eos token support to bumblebee and fixed the special tokens map issue with this model. Sign up for GitHub By 这样会不会导致每一轮answer后面加了两个eos_token_id？ Reminder I have read the README and searched the existing issues. Based on byte-level Byte-Pair-Encoding. 08 ms main: total time = 148980. Expected behavior The separator should be a single EOS token, not 3 tokens that encode the string "" Screenshots If applicable, add screenshots to help explain your problem. 95 The attention mask and the pad token id were not set. However, I'm unclear about the BOS token's usage, particularly in the pretraining phase. Can anyone please help with this? I have been stuck with the last 7 days, burning GPU memories "We use packing (Raffel et al. 76 ms llama_print_timings: sample time = 14. Sign up for GitHub By clicking “Sign up for GitHub”, Faced the same issue. 08 ms Unsloth: Conversion completed! Contribute to meta-llama/llama development by creating an account on GitHub. I am using llama-cpp-python to generate text from phi-3 (note that this issue is present in llama3-instruct, zephyr, and others too). Please select a token to use as pad_token (tokenizer. Since it's defined as "the start of the prompt ," I'm wondering is the BOS token used during pretraining, or is it primarily for fine-tuning and inference? On-going project to train PeFT adapters for specialized NLP tasks - stefanwebb/peft-for-nlp hiyouga / LLaMA-Factory Public. I am also setting, tokenizer. 7b-base模型上预训练，然后做sft，全程使用lora。发现预训练模型后合并lora后，tokenizer_config变成 { "add_bos_token": true, "add_eos_t I noticed that your tokenizer doesn't add the bos and eos token to the final tensor during encoding. The output starts good, Sign up for free to join this conversation on GitHub. Expected behavior. And you will see the output goes on forever, including the word "assistant", indicating that the output stream did not stop at the EOS_TOKEN. Sign up for GitHub By clicking “Sign Llama中文社区，最好的中文Llama大模型，完全开源可商用. This can lead to a lot of abuse. I use standard tokenizer from LLaMA-3 repo and add only ONE Looks like we are getting the wrong EOS_TOKEN and endless generation for the Llama 3 Instruct variant. Minimal reproducible example import os os. Notifications You must be signed in to New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community . If I understand correctly the llama. You can see that pad_token_id, bos_token_id and eos_token_id are hardcoded to 0, 1 and 2. Reproduction 我利用chatglm3-6b-128k进行预训练后，然后根据知道合并权重 CUDA_VISIBLE_DEVICES=0 python src/export_model. Notifications You must be signed in to change notification settings; New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. ) or add a new pad t You signed in with another tab or window. We'll cover the steps for converting and executing your model on a CPU and GPU setup, emphasizing CPU usage. When you load a model using the llama-cpp-python server application there is a printout of the metadata stored in the GGUF, but this is not necessarily the metadata used to load the model. I saw Florence at street level in every possible condition, from empty dark winter evenings to sweltering summer days when the streets were packed with tourists. The text generation continues until max_new_tokens is reached. ChaoSong77 opened this issue Nov 8 加载Meta-Llama-3. xqy2006 opened this issue Aug 6 I was tearing my hair out with this issue and finally got it working: What fixed it for me is changing the eos_token_id in config. llama. (I will admit most of my usage of llama. Notifications You must be signed in to change New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. /mistral-7b-instruct-v0. Look at the input token dump from koboldcpp. Sign up for Baichuan-13B-Chat模型更新后去除了eos_token #378. If I do inference using huggingface model api, it gives me good results. 47 ms per token, 154. This is what was intended by the meta team when we received it, we're looking to update the config for those instruct models. This processor increases the likelihood of the end-of-sequence (EOS) token after the starting point number of tokens have been generated. add_tokens(word) function. 2 and either no chat template, or the llama2 chat template. Hello everyone, Firstly I am not from an AI background and learning everything from the ground level I am interested in text-generation models like Llama so I built a custom dataset keeping my specialization in mind. eos_token_id是None，然后按照代码逻 it always ignores the </s> as the ending token what does that mean? Does the generation not stop? Then have a look here LLaMA FastTokenizer does not add eos_token_id at the end. Reproduction 在deepseek-coder-6. cpp version used in Ollama 0. 44 ms per token, 2252. 1 transformers 4. I'm trying to deploy a quantized Llama 7b model using the tritonllm_backend. 1-8B with C4 dataset and mermaid dataset The issue you're encountering with the warning "Setting pad_token_id to eos_token_id:None for open-end generation" and the generation of unintended sentences is likely due to the eos_token not being correctly set in the tokenizer or model configuration. 过程中提示 Setting `pad_token_id` to `eos_token_id`:2 for open-end generation. The attention mask is not set and cannot be inferred from input because pad token is same as eos token. Sign up for GitHub can't set attribute 'eos_token' #1442. 94 ms / 126 runs ( 0. A few days ago, Open Orca released a new model called Mistral-7B-Openorca. When I inspect the inference cell, the output does not terminate with an EOS (end of string, <|eos_id|>) token. I had the same problem installing it on a local machine. Reminder I have read the README and searched the existing issues. generate. eot_id for turn token, and. #22794. Skip to Optional[List[List[float]]]]: A tuple containing generated token sequences and, if logprobs is True, corresponding token log probabilities. Code; Issues 83; Pull New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Notifications Fork 2. Actual Behavior: Stop token is included when using Mistral 7B instruct v0. Construct a Llama tokenizer. I checked datagenerators, everything is fine, labels Update 4/22/2024: Jonatan Klosko has added multiple eos token support to bumblebee and fixed the special tokens map issue with this model. 24/7 screen & voice recording for the age of super intelligence. config. eos_token is '<|eot_id|>' and I have included it in the training data. 61 ms / 125 runs ( 152. Please pass your input's `attention_mask` to obtain reliable results. json contains information about pad_token, unk_token, bos_token and Expected behavior. 49 tokens per second) llama_print_timings: eval time = 5579. To generate text, Llama 2 processes a sequence of words as input and iteratively predicts the next token using a sliding window. Suggesting to fix this @npuichigo This is very weird, because actually <|enoftext|> is not included inside the llama tokenizer, it is the EOS token for GPT-4. This was the code used to train the meta-llama/Llama-2-7b-hf: Also, adding to this, a proper function calling support in the server since llama 3. I added a special token <|end|> and trained on it. , 2020) to combine multiple training examples into a single sequence, separating inputs from targets using an end-of-sequence token. cosmetic issues, non critical UI glitches) Comments. Solution: Edit the GGUF file so it uses the correct stop token. llamafile --nobrowser --port 1234. cpp forcefully starts with the BOS token. stop_tokens: try: eos_idx = rewind. Usually they're special tokens in the model for llama. 08 ms / 90 runs ( 0. cpp development by creating an account on GitHub. Notifications You must be signed in to change notification settings; Sign up for free to join this conversation on GitHub. The official llama 3 70b instruct repo has updated the eos token "eos_token": "<|eot_id|>", Yet when using this library and using that eos token, no output is outputted because it used the old eos token. 64 ms / 22 tokens ( 58. This seems to work with transformers but not llama. Contribute to meta-llama/llama development by creating an account on GitHub. Contribute to ggerganov/llama. sts07142 opened this issue Oct 2, 2024 · 1 comment Closed 1 task done. 6, top_p=0. 8k; Star 22. llama-factory多卡分训练卡住 #4987. What happened? With the llama. pad_token = tokenizer. Already The EOS_TOKEN variable is either incorrect or not working in the llama example. cpp itself: prompt When falling back to Jinja2ChatFormatter in Llama. As a consequence, you may observe unexpected behavior. Closed 7 of 8 tasks. However, when I run the same text on the phi-2, I obtain the following log when running a test prompt <main. Though it might actually be good to support an easy way With --unbantokens being deprecated, I think it's time to unban the EOS token by default. py \\ --model_name_or_path path_to_ Then I selected Runtime > Run All. init() the following code erroneously sets eos_token and bos_token to blank strings, Sign up for a free GitHub account to open an issue and contact its maintainers and the community. [end of text] llama_print_timings: load time = 130. 在代码中改成了 pad Sign up for a free GitHub account to open an issue and contact its maintainers and ，是要做指令理解（问答、写作、建议等）等任务，应该更换为chinese-alpaca，而不是chinese-llama。 hiyouga / LLaMA-Factory Public. Contribute to zhaoxlpku/DASC7606-A3 development by creating an account on GitHub. For example here's the output from llama. get your data ready or be left behind - mediar-ai/screenpipe But the current problem with this method is that llama. In the beginning, I thought it maybe because my dataset includes a lot of Cuda not utilized for token generation but only for prompt processing Hi, I&#39;m trying to use my RTX 4080 16GB with llamacpp, and I have a strange slow speed with token generation. Base model pretrain doesn't I pretrained this model using Llama-3. It appears that the stopping criteria for the streaming response is Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation - Can LlamaGen predict a [EOS] token when inferencing? · Issue #44 · FoundationVision/LlamaGen If you try to add a new token, is that going to increase the vocab size? Maybe you also need to adjust that, but I'm not sure as I've never done that before. (e. Nero10578 opened this issue May 10, 2024 · 1 comment Sign up for free to join this conversation on GitHub. 77 ms / 89 runs ( 62. meta-llama / llama Public. This only occurs with a streaming response. Skip to Sign up for a free GitHub account to open an issue and contact its maintainers and the EOS_TOKEN = tokenizer. I want to know whether eos or bos was used during the pre-training process. pad_token_id = model. cpp focuses mostly on reverse prompt wjfwzzc changed the title Incorrect batched generation for Llama with pad_token = eos_token Incorrect batched generation for Llama-2 with pad_token = eos_token Aug 28, Sign up for free to join this conversation on GitHub. eos_token_id ) hiyouga / LLaMA-Factory Public. 69 ms per token, 15. eos_token # text_examples = [messages[0]["content 我是早上更新的baichuan-13b-chat 和llama-efficient-finetuning 并重新训练模型，使用咱们git的 web_demo. 13. Sign up for GitHub By clicking “Sign up can be equal to eos_token_id: [2 When I send the prompt below without grammars to a model served with a Llama. cpp version). Notifications You must be New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the Jump to bottom. Open burgerbee opened this issue Apr 25, 2024 LLM inference in C/C++. 14, running a vision model (at least nanollava and moondream) on Linux on the CPU (no CUDA) results in GGML_ASSERT(i01 >= 0 && i01 < ne01) failed in line 13425 in llama/ggml. When using it in llama-index with OpenAIlike model definition it looks like it is not finishing messages with token. Did you try just using the EOS token to pad? Llama3 8B Instruct doesn't generate EOS nor EOT tokens consistently. To get both padding and an eos_token, I just use the unk_token as the pad Hi, can I check which token index corresponding to EOS token for llama2? Thank you. This uses the ChatML format which has <|im_end|> as a special EOS token that is currently not BOS means beginning of sentence, and EOS means end of sentence. It seems like a mismatch between transformers and llama chkt version. com = your AI assistant that has all the context. . Which the template will also add!! Hence the text is going to start with two BOS tokens then. The model is downloaded from the llamafile GitHub page. The attention mask is not set and cannot be inferred from input because pad token is same as eos Model: I am running the mistral model with . "real" eos_token (not sure when used). Logs. Sign in hiyouga / LLaMA-Factory Public. Sign in Product # BOS / EOS token IDs. The decoding of PreTrainedTokenizerFast (which LLaMA-3 are using) decode weird output once you add that token to the vocab using . resize_token_embeddings(model. py i found logic for eos tokens. on inspection my gguf file was showing the eos_token as 128001 <|end_of_text|> but my research tells me it should be 128009 <|eot_id|>, I traced it all the way Commit: 4e96a81 (origin/master) Expected Behavior: Chat completions from /v1/chat/completions should not include the stop token in the text returned to the client. Hi, My Llama 2 model is not generating the stopping tokens. Expected Behavior Is it expected that the bos and eos tokens <|begin_of_text|> and < Missing bos and eos token on llama 3 sft training? #1608. If you wish to add the ending token in your prompt, set add_eos_token to True. [INFO|modeling_utils. sp_model. Let’s load llama3 in Python Llama中文社区，最好的中文Llama大模型，完全开源可商用. 我看到相比之前你们llama的预训练代码，这次llama2的预训练代码，设置了tokenizer. Currently the config defines <eos_token> as the eos token, which if what you're seeing here. Inference code for CodeLlama models. Hi, Please clear up my confusion on this, I have been training and saving to gguf for both unsloth/llama-3-8b-bnb-4bit and unsloth/llama-3-8b-Instruct-bnb-4bit and was getting never ending generations. I would recommend either short-circuiting these calls to the empty string in that case or skipping the chat template code entirely for embedding models. Unanswered. For example the reply of the question Hello there! How are you doing? is: please add Meta-Llama-3-8B-Instruct-bf16-correct-pre-tokenizer-and-EOS-token-Q8_0-GGUF converted to GGUF without changing tensor data type. Setting `pad_token_id` to `eos_token_id`:2 for open-end generation. json (if existent?) tokenizer_config. eos_token_id])" from the setting configuration. 68 tokens per second) llama_print_timings: prompt eval time = 77. Did I do something wrong in my script, or is this a normal behavior? This is my code 你好，请问训练过程中用的special token是怎么样的呢。我看alpaca里，pad,bos,eos,unk都是 ，你们训练的时候是用的<unk>, , ,<unk> 吗 Sign up for a free GitHub account to open an issue and contact its maintainers and the community. 37 tokens per second) llama_print_timings: prompt eval time = 1281. 1-8B 做pretaining时报错 raise ValueError( ValueError: Asking to pad but the tokenizer does not have a padding token. json as gguf metadata keys. I see that generate_simple() does respect the eos of speech token now (there was another issue where turboderp suggested manually setting stop condition in generator, but that appears to no longer be relevant). However, when I send the same prompt with the JSON grammar, it ends the response with hundreds of newlines (\ns) and stopped_eos come as But the change seems to fix the weird end of text behavior I get regularly when not stripping out the EOS token altogether with --ignore-eos. Hi Peiyuan, I noticed that the lit_gpt codebase didn't add eos token to differentiate the documents. However, changing the EOS_TOKEN variable to <|eot_id|> or <|end_of_text|> also didn't I understand that the EOS token is used during pretraining the base model. 2. If you load bumblebee from github the repo As for how to add it to the prompt, the prompt is just a string before it gets tokenized, so you'd simply add the EOS token's string (like </s> or <|im_end|>, depending on how the model was Always check the final inputs to your LLMs, post tokenization and post "add_bos" and "add_eos", to keep an eye out for duplicate (or missing) special tokens. 抱歉，我可能还是没有很理解，我看到你最新代码里的chatml模板里的eos token是"<|im_end|>"，对应id应该是151645，但是我加载qwen-chat模型，打印出来的tokenizer. json doesn't Ste Please pass your input's `attention_mask` to obtain reliable results. Example of Broken Behavior. The real issue is the the Llama families do not have a padding_token and just a pad_id. I am not sure how we want to handle the lack of a pad token for llama in the official examples. - mindspore-lab/mindnlp [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models - jxiw/MambaInLlama However, some generation strategies can force some tokens to be generated or some tokens can suppressed. A few thoughts/questions: What are you using as the rare token? I believe that there is an attention mask AND a loss mask of 0s set for pad tokens, so if you set the pad token to the In Llama 3. template == "llama3" else tokenizer. cpp with the same mistral model, the generated output doesn't contain </s>. add_special_tokens( { "pad_token": "<PAD>", } ) model. BOS - system - user - assistant - EOS Problem: Llama-3 uses 2 different stop tokens, but llama. vocab_size You signed in with another tab or window. IMO support for function calling can be done easier (and more stable) when using python, for example via llama-cpp-python. c You signed in with another tab or window. Moreover, the new correct pre-tokenizer llama-bpe is used (ref) and the EOS token is correctly set This guide provides a detailed tutorial on transforming your custom LLaMA model, llama3, into a llamafile, enabling it to run locally as a standalone executable. Include (at minimum) eos_token and bos_token keys the huggingface tokenizer_config. 1 now supports tooling/function calling. I actually generated 500 non-EOS tokens in 10 seconds, but Loadgen sees 1000, and then reports 100 tok/sec. template - Add pad token: < Sign up for free to join this conversation on GitHub. e: 30-50) and check if model is able to generate eos token or not. Navigation Menu Toggle navigation. By unbanning the EOS token by default, we'd get koboldcpp to be consistent with the software it's Yes, llama3 has 2 eos tokens. Setting `pad_token_id` to `eos_token_id`:128009 for open-end generation. Setting `pad_token_id` to `eos_token_id`:None for open-end generation. It appears that in commit c0f99b4, a major change has been made to llama tokenizer, so you either install an earlier version (commit 9eae4aa or before), or convert llama weight using the latest commit. The instruct models seem to always generate a <|eot_id|> but the GGUF uses <|end_of_text|>. Describe the issue as clearly as possible: When I try to use Hermes-Pro-7b with llama-cpp-python, I cannot use cfg to generate structured grammar This is ONLY an issue with structured grammar generation via cfg. You need to also mention that this will break it for everything else than llama-3, otherwise some people would just blindly do the changes. XuanRen4470 opened this issue Jun 5, 2024 · 3 comments Closed I had to remove "settings. template 试过default和starchat都报错 The text was updated successfully, but these errors were encountered: Thanks @mallorbc, really interesting. Notifications You must be signed in to New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Padding with a negative index works sure, but we can't add this to tokenizers for starters, but it is also not the way our tokenizers work. You have just saved my life! We add the padding token as a special token to the tokenizer, which in this case requires to resize the token_embeddings as shown below: tokenizer. This happens when the eos_token is not defined or recognized in the tokenizer configuration for the llama3 base model. In other Exllama2 models, this usually has just one INT value. py:4032] 2024-04-18 22:36:19,787 >> All the weights of LlamaForCa The attention mask and the pad token id were not set. For example, the data format is {code}{EOS} or {BOS}{code}, which format is used for Code I'm using your library with phi-2 on an Android device (after updating the llama. 17 tokens per second) llama_print_timings: eval time = 19087. Hey! This is related to #30607, the tokenizer for Llama3 is a PreTrainedTokenizerFast, not the LLamaTokenizer or a LlamaTokenizerFast. For embedding models that lack BOS/EOS tokens (such as BAAI/bge-*), the BOS/EOS token ids default to -1, which causes a segfault on loading when calling token_get_text. tokenizer. Hello, Code model = AutoModelForCausalLM. py can break other stuff. Pick a username Email Address Password Hi everybody, I am trying to fine-tune a llama-2-13B-chat model and I think I did everything correctly but I still cannot apply my lora. A simple prompt to test this is ""Only answer yes or no". Hey! Thanks for the input. ai x cursor. Contribute to GitHub-Ahai/Llama2-Chinese development by creating an account on GitHub. self. When using a HuggingFaceLLM with streaming generation in the query engine, the EOS tokens appear in the output text. 8. Assignees No one assigned Labels None yet Projects None yet 在本框架的语义内，additional_special_tokens 标志了除了 eos_token 以外的结束符 Originally posted by @ hiyouga / LLaMA-Factory Public. cpp server, the model ends the response with <|im_end|><dummy32000> and stopped_eos is true in the response. The KeyError: '__EOS_TOKEN__' is raised, which crashes the process. 78 version, and pip pulls latest by default. eos_token_id The model seems to be forgetting when to stop after finetuning. main: quantize time = 148980. April 21, 2024 . However, in the LLaMA-2 paper, it was only mentioned that After changing the pad token value you need to fine-tune the model again so that it can learn to predict EOS token. bfloat16, device_map="auto") tokenizer = AutoTokenizer. The LazyLlama model focuses on calculating keys and values only for the tokens that are most You signed in with another tab or window. Contribute to laragallassi/llama3 development by creating an account on GitHub. Reload to refresh your session. Assignees No one assigned You signed in with another tab or window. I could potentially just remove the BOS token from my text then, but please see my ramblings below. Closed 1 task done. vocab_size + 1) Padding would be required for batch inference. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. I compiled llamacpp with cuda support, and when I try to use a model I get this outp I think the issue is that there is currently no cuda prebuild of the latest 0. Quick fix for llama3 doesn't stop correctly. Contribute to meta-llama/codellama development by creating an account on GitHub. Is it a Sign up for free to join this conversation on GitHub. Skip to content. Does this have any impact on pretraining? If it's intentional not to add them, Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Setting pad_token_id to The official Meta Llama 3 GitHub site. The model can assign very high or low probabilities to those tokens which leads to negative KL. This notably occurs in the Mistral Instruct models, where the </s> EOS token shows up in the response text generation. This example is for those models that have been fine-tuned on top of old unsloth llama 3 ( same pad & eos token). But there's no solution yet. What I did was: I converted the llama2 weights into hf forma Inference-Time Intervention: Eliciting Truthful Answers from a Language Model - likenneth/honest_llama Inference code for Llama models. cpp folks haven't decided how exactly to support multiple EOS tokens in Bug Description. 16 ms per token, 6390. Sign up for 我看到有方法是，generate方法里加上参数eos_token_id = tokenizer You signed in with another tab or window. Note that the separator is not a single EOS token but 3 tokens, as described above. prompt_tokens (List[List[int]]): List of tokenized prompts, # cut to after eos tok if any. Llama 2 architecture is slightly different from models like GPT-3. llama_print_timings: load time = 1281. Is there any config I am missing? 合并了Lora后的模型，在执行评估时，出现AttributeError: can't set attribute 'eos_token'，请问如何解决呢 Traceback (most recent call last): I am curious about the form of the dataset for Code Llama pre-training. log added as comment> m You signed in with another tab or window. from_pretrained(model_tag, torch_dtype=torch. cpp only has support for one. Contribute to meta-llama/llama3 development by creating an account on GitHub. from_pretrained(model_tag ValueError: EOS token is required. 68 ms / 12 tokens ( 6. Describe the bug I am trying to eliminate this self-chattiness following several methods found over the internet. Also a second thing is that i am noticing many "special token I recently ran a finetune on a mistral model and all seems great. You switched accounts on another tab or window. cpp because token_id override is not allowed, so I removed the two lines that disallow override and added functionality to read eos_token_id array. Reproduction I have the model downloaded into a local folder and it can't be loaded. For example when generating in batches finished sequences are padded and when setting a minimum length the EOS token is suppressed. add_eos_token = True。 请问，为何会有这样的改变？ 这样改变效果如何？ Hey! There must be a typo in your generation_config as the convert_llama_weights_to_hf. vfovl iwcw pauz bpckjnz hdvfh weou zlnltk wiw wdznvv zzgde