Llama eos token github Is there any config I am missing? Reminder I have read the README and searched the existing issues. 1, you should get a file named " But the current problem with this method is that llama. 61 ms / 125 runs ( 152. BOS - system - user. Notifications You must be signed in to change notification settings; Fork 10k; Star 69. I don't think the Facebook code has any need for pad tokens because it's just inference, so -1 is a null value. py and I'm using it in #1110 to automatically pull the chat_template. pad_token_id (like from here https://huggingface. Sign in Product Actions. 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 I understand that the EOS token is used during pretraining the base model. 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). In other Exllama2 models, this usually has just one INT value. 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, 2023. Contribute to meta-llama/llama development by creating an account on GitHub. eos_token e. e: 30-50) and check if model is able to generate eos token or not. main: quantize time = 148980. cpp text generation. Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 20 On-line CPU(s) list: 0-19 Vendor ID: GenuineIntel Model name: 12th Gen Intel(R) Core(TM) i7-12700 CPU family: 6 Model: 151 Thread(s) per core: 2 Core(s) per socket: 10 Socket(s): 1 Stepping: 2 BogoMIPS: 4223. Reproduction I have the model downloaded into a local folder and it can't be loaded. Notifications You must be signed in to change notification settings; Fork 3. py can break other stuff. I actually generated 500 non-EOS tokens in 10 Setting pad_token_id to eos_token_id:None for open-end generation. Minimal reproducible example import os os. Contribute to ggerganov/llama. Notifications You must be signed in to change notification settings; Fork 1. 0 and redo the weight conversion. 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. ValueError: EOS token is required. ; Expected Behavior. Mistral 7x8B Instruct served by vllm and used as OpenAIlike - is sending of EOS token required I am using mistral 8x7B served via vllm. Code; Issues 253; Pull requests 27; Discussions; Actions; Wiki; Security; Insights; 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. I saw Florence at street level in every possible condition, from empty dark winter evenings to sweltering summer days when the Model: I am running the mistral model with . Expected behavior. It appears that the stopping criteria for the streaming response is You signed in with another tab or window. Unsloth has updated their Reminder I have read the README and searched the existing issues. Reproduction 在deepseek-coder-6. 7k. By unbanning the EOS token by default, we'd get koboldcpp to be consistent with the software it's You signed in with another tab or window. The LazyLlama model focuses on calculating keys and values only for the tokens that are most You signed in with another tab or window. py i found logic for eos tokens. 26 ms per token, 17. Code; Issues 256; Pull requests 26; Discussions; Actions; Wiki; Security; Insights; 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. Usually they're special tokens in the model for llama. g. sts07142 opened this issue Oct 2, 2024 · 1 comment Closed 1 task done. json hiyouga / LLaMA-Factory Public. This example is for those models that have been fine-tuned on top of old unsloth llama 3 ( same pad & eos token). 0 will not change the likelihood of the EOS token during generation. cpp focuses mostly on reverse prompt assistant chatbot interaction, so I didn't see how not having an end of text token could be detrimental otherwise. 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). I had to remove "settings. When using a HuggingFaceLLM with streaming generation in the query engine, the EOS tokens appear in the output text. I'm trying to fine-tune llama-2- 7b-chat for function calling and it is responding with m Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface. c You signed in with another tab or window. Sign up for After changing the pad token value you need to fine-tune the model again so that it can learn to predict EOS token. This allows generating shorter sequences without having a hard cutoff, allowing the eos_token to be predicted in a Setting `pad_token_id` to `eos_token_id`:2 for open-end generation. json file. 1 transformers 4. LogitsProcessor that exponentially increases the score of the eos_token_id after start_index has been reached. However, In llama. Code; Issues 2; Pull requests 5; Discussions; Actions; Wiki; Security; Insights; 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, when I run the same text on the phi-2, I obtain the following log when running a test prompt <main. eos_token and model. -m /models/openchat_3. Copy link psinger commented Aug 28, 2023 • edited Loading. eos_token, and because of this, the collactor I wanna set my eos_token_id, and pad_token_id. This is what was intended by the meta team when we received it, we're looking to update the config for those instruct models. The first token id of the tokenized text should be the new tokenizer's BOS token id of 0 instead of the original llama 3. I have personally also seen a lot of strange behavior with single row vs. I googled alot, and most are suggesting to use e. 9k. 8. Model is rewind. What I did was: I converted the llama2 weights into hf forma Collecting environment information PyTorch version: 2. 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. 16 torch 1. 1k. More Info: However, if I use llama. When I run inference with the 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, Base model pretrain doesn't have eos token? #5599. eot_id for turn token, and. 5. /mistral-7b-instruct-v0. I added a special token <|end|> and trained on it. - mindspore-lab/mindnlp stop_token_ids in my request. For the llama tokenizer the EOS token is </s>. Host and manage packages Security. It seems like a mismatch between transformers and llama chkt version. llamafile --nobrowser --port 1234. 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? The EOS_TOKEN variable is either incorrect or not working in the llama example. The KeyError: '__EOS_TOKEN__' is raised, which crashes the process. disallow_tokens(tokenizer, [tokenizer. Providing the logs from the browser 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. 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). 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. add_eos_token = True。 请问，为何会有这样的改变？ 这样改变效果如何？ 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. (I will admit most of my usage of llama. It seems 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. Automate any The default exponential_decay_factor of 1. 过程中提示 Setting `pad_token_id` to `eos_token_id`:2 for open-end generation. Is it expected that the bos and eos tokens <|begin_of_text|> and <|end_of_text> are supposed to be missing when running preprocess - Hey @vriesdemichael yes finally got a chance to start on this thanks to @teleprint-me work to integrate jinja2 templating. Inference code for CodeLlama models. Base model pretrain doesn't have eos token? #5599. cpp forcefully starts with the BOS token. Loadgen, being agnostic, will count all these EOS tokens, and report 50 tok/sec. json as gguf metadata keys. utils import set_see 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. 0 Who can help? No response Information The official example scripts My own modified scripts Tasks An officially supported task in the examp Thanks @mallorbc, really interesting. Motivation. input: \n Please describe the traffic condition. 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. There's now a Jinja2ChatFormatter in llama_chat_formats. py as well as configuration_llama both set it to 2. template 试过default和starchat都报错 The text was updated successfully, but these errors were encountered: 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. Contribute to zhaoxlpku/DASC7606-A3 development by creating an account on GitHub. The model is downloaded from the llamafile GitHub page. 1, eos_token_id has 3 int values. 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. When I inspect the inference cell, the output does not terminate with an EOS (end of string, <|eos_id|>) token. Something is WRONG. The attention mask and the pad token id were not set. To generate text, Llama 2 processes a sequence of words as input and iteratively predicts the next token using a sliding window. 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. eos_token_id=0，这是什么原因呢？ Skip to content. Currently the model is very bad to generate <EOS> token to stop early, this is because we set tokenizer. Reproduction eos_token变成<|im_end|>，而官方是<|endoftext|> Expected behavior 想了解eos Faced the same issue. template - Add pad token: <|eot_id|> Converting format of dataset (num_proc=16): 100%| | 91/91 [00:00<00:00, 416. eos_token is '<|eot_id|>' and I have included it in the training data. eos_token_id是None，然后按照代码逻辑tokenizer. 9 | packaged by conda-forge | (main, "We use packing (Raffel et al. as well to add support for multiple stop token ids if anyone can link a gguf file with that metadata. config. Suggesting to fix this @npuichigo I recently ran a finetune on a mistral model and all seems great. py, the tokenizer is directly loaded from the official llama checkpoint, where bos_token_id=0 and eos You signed in with another tab or window. Plan and track work Code llama_print_timings: load time = 1281. gguf Problem description & steps to reproduce when inferense (via api/w. I used the GitHub search to find a similar question and Skip to content. 99 Flags: fpu vme de pse tsc [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models - jxiw/MambaInLlama I finetuned llama2 model using peft lora and finally merged the model and save onto the disk. In Llama 3. I use standard tokenizer from LLaMA-3 repo and add only ONE 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): You signed in with another tab or window. Plan and track work Code hiyouga / LLaMA-Factory Public. 4k; Star 27. Code; Issues 70; Pull requests 13; Discussions; Actions; Wiki; Security; Insights; 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. Automate any workflow Some models add an alternative EOS token, for example in a ChatML style, EOS token = 32000 '<|im_end|>'. 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 The tokenizer. Contribute to zhangnn520/Llama2-Chinese development by creating an account on GitHub. We'll cover the steps for converting and executing your model on a CPU and GPU setup, emphasizing CPU Llama中文社区，最好的中文Llama大模型，完全开源可商用. However, I'm unclear about the BOS token's usage, particularly in the pretraining phase. For chat models these differ from the Hey! There must be a typo in your generation_config as the convert_llama_weights_to_hf. Automate any workflow With: befbbf2 Setting pad token to point to Llama 3 models eos token fails for the reason that Llama 3 has a list of eos tokens instead of single value. LLM inference in C/C++. Moreover, the new correct pre-tokenizer llama-bpe is used (ref) and the EOS token is correctly set Hey! Thanks for the input. However, changing the EOS_TOKEN variable to <|eot_id|> or <|end_of_text|> also didn't Reminder I have read the README and searched the existing issues. Yes, llama3 has 2 eos tokens. EOS Token: If the model generates an eos token, text generation may be halted. eos_token_id The model seems to be forgetting when to stop after finetuning. (Side note: I was thinking it might be in vocab, but see it's not). Logs. 1, it looks like there's been a change with the eos_token_id config key. Are you sure that you are using the latest scripts? The fix is just Contribute to meta-llama/llama development by creating an account on GitHub. solved This problem has been already solved. When using it in llama-index with OpenAIlike model definition it looks like it is not finishing messages with token. We were also discussing wether or not we can do this in transformers in #25088. 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 Looks like we are getting the wrong EOS_TOKEN and endless generation for the Llama 3 Instruct variant. This is causing index out of range errors when indexing the embedding matrix of I see that INST is used to wrap assistant and user content in chat completions. Checked other resources I added a very descriptive title to this question. 3. Code; Issues 233; Pull requests 34; Discussions; Actions; Wiki; Security; Insights; 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. 2 and either no chat template, or the llama2 chat template. Open wangtong627 opened this issue Aug 30, 2024 · 1 comment Open About LLaMA-3-LLaVA-NeXT-8B: The attention mask and the pad 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 在main. co/meta Include (at minimum) eos_token and bos_token keys the huggingface tokenizer_config. Currently the config defines <eos_token> as the eos token, which if what you're seeing here. Write better code with AI Security. skip_special_tokens will work if you have the correct version of LlamaTokenizer. 17 tokens per second) llama_print_timings: eval time = 19087. Code ; Issues 261; Pull requests 330; Discussions; Actions; Projects 9; Wiki; Security; Insights; Cuda not utilized for token generation but only for prompt processing #3027. 37 tokens per second) llama_print_timings: prompt eval time = 1281. bfloat16, device_map="auto") tokenizer = AutoTokenizer. Similarly the FIM paper by Open AI. I wanted to ask the optimal way to solve this problem. cpp development by creating an account on GitHub. A simple prompt to test this is ""Only answer yes or no". This is very weird, because actually <|enoftext|> is not included inside the llama tokenizer, it is the EOS token for GPT-4. Unanswered. In run B, I stop immediately upon seeing an EOS token, and artificially pad it with 500 EOS tokens. tokenizer. The issue right now is that the gguf doesn't supply the correct eos_token from the tokenizer_config. The decoding of PreTrainedTokenizerFast (which LLaMA-3 are using) decode weird output once you add that token to the vocab using . (e. add_special_tokens( { "pad_token": "<PAD>", } ) This is expected, the llama model kind of rarely generates the eos_token. The text generation continues until max_new_tokens is reached. 28. 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. I could potentially just remove the BOS token from my text then, but please see my ramblings below. Comments. Automate any workflow Packages. Setting pad_token_id to eos_token_id:128001 for open-end generation. Notifications You must be signed in to change notification settings; Fork 4. I would like In generate. bos_token_id = 1 model. 08 ms Unsloth: Conversion completed! The fine-tuned models were trained for dialogue applications. Reload to refresh your session. ) or add a new pad t Quick fix for llama3 doesn't stop correctly. Instant dev environments Issues. The real issue is the the Llama families do not have a padding_token and just a pad_id. Also a second thing is that i am noticing many "special token llama-factory多卡分训练卡住 #4987. 3. Sign up for tokenizer = AutoTokenizer. Sign up for Contribute to meta-llama/codellama development by creating an account on GitHub. 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. 0. Q4_0. There is an existing discussion/PR in their repo which is updating the generation_config. This notably occurs in the Mistral Instruct models, where the </s> EOS token shows up in the response text generation. gguf -c 4096 --host 0. However, this behavior can vary based on the configuration and whether it's operating ymcui / Chinese-LLaMA-Alpaca Public. This happens when the eos_token is not defined or recognized in the tokenizer configuration for the llama3 base model. OpenLM Llama 7B model, trained on 1T tokens, latest transformers (looks to fix the fast tokenizer issue), default OpenLM Llama tokenizer settings from HF. Llama 2 Please check that this issue hasn't been reported before. In either v0 or v1. I am not sure how we want to handle the lack of a pad token for llama in the official examples. 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. 在代码中改成了 pad_ Skip to content. This seems to work with transformers but not llama. add_tokens(word) function. pad_token = tokenizer. 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. Automate any workflow Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation - Can LlamaGen predict a [EOS] token when inferencing? · Issue #44 · FoundationVision/LlamaGen Hey! This is related to #30607, the tokenizer for Llama3 is a PreTrainedTokenizerFast, not the LLamaTokenizer or a LlamaTokenizerFast. [INFO|modeling_utils. eos_token会被add为"<|endoftext|>"，对应id是151643，然后添加到source_mask 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. 24/7 screen & voice recording for the age of super intelligence. Name and Version clone repo on 29 december and build from main branch Operating systems Linux GGML backends CUDA Hardware 3060+3060 via grpc Models falcon-40b-Q4_K_M. #194. Please select a token to use as pad_token (tokenizer. py, the bos_token_id=1 and eos_token_id=2, model. Code; Issues 126; Pull requests 18; Discussions; Actions; Wiki; Security; Insights; 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. What is the correct way What is the correct way 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 in #4203 (comment 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. cpp with the same mistral model, the generated output doesn't contain </s>. 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). Q4_K_M. Answered by KerfuffleV2. What happened? After updating the docker image, legacy models began issuing an EOS token at the end of generation (see example below). Automate any workflow Codespaces. Actual Behavior: Stop token is included when using Mistral 7B instruct v0. com = your AI assistant that has all the context. Contribute to meta-llama/codellama development by creating an account on GitHub. Example of Broken Behavior. Inference code for Llama models. 55 tokens per second) Bug Description. llama. 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 |>. I am also setting, tokenizer. This uses the ChatML format which has <|im_end|> as a special EOS token that is currently not The reason behind this is that the post_processor is responsible of adding the eos and bos tokens. py中这里assert了 ，打印tokenizer. I wanted to raise this to your attention in case it is What happened? With the llama. I searched the LangChain documentation with the integrated search. Instant dev environments Copilot. py \\ --model_name_or_path path_to_ Hello, Code model = AutoModelForCausalLM. Note that the separator is not a single EOS token but 3 tokens, as described above. 13. If I understand correctly the llama. Which the template will also add!! Hence the text is going to start with two BOS tokens then. YuanDaoze Replace eos token: <|eot_id|> 07/28/2024 05:55:10 - INFO - llamafactory. Automate any workflow 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). 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 Reminder I have read the README and searched the existing issues. This only occurs with a streaming response. 79 ms llama_print_timings: sample time = 55. c. 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. Closed 1 task done. eos_token_id`. Not sure if this modification in vocab. In the vocab file for llama3. Contribute to jndiogo/LLM-chat-templates development by creating an account on GitHub. 29 examples/s] 07/28/2024 05:55:10 - INFO - llamafactory. 11. 78 version, and pip pulls latest by default. If I do inference using huggingface model api, it gives me good results. 0+cpu Is debug build: False CUDA used to build PyTorch: None ROCM used to build PyTorch: N/A OS: Microsoft Windows 11 Pro GCC version: Could not collect Clang version: Could not collect CMake version: Could not collect Libc version: N/A Python version: 3. log added as comment> m In run A, I do not implement early stopping, and generate 1000 tokens in 20 seconds, 500 of which are EOS tokens. However, it's possible that an experimental fine tuned model may fail to g Skip to content. #22794. 1, these correspond to the characters !, \ and #. 44 ms per token, 2252. Though it might actually be good to support an easy way to add bos and eos. I guess the blank EOS/BOS is not only related to fastchat or Vicuna weights but it is also related to how you convert the base llama model. 5k; Star 36. cpp automatically Not sure why, but if I use </s> token (the standard eos token, see link above for context) loss just explodes. . I also tried with this revision but it still was not stopping generating Look at the input token dump from koboldcpp. data. Currently what you have to do is update the TemplateProcessor which is fairly annoying (not beginner friendly). You can try to set it with `pipe. Sign up for hiyouga / LLaMA-Factory Public. from_pretrained(model_file_path, trust_remote_code=True) Inference-Time Intervention: Eliciting Truthful Answers from a Language Model - likenneth/honest_llama Contribute to jndiogo/LLM-chat-templates development by creating an account on GitHub. You signed out in another tab or window. 70 ms per token, 6. cpp folks haven't decided how exactly to support multiple EOS tokens in LazyLlama is an implementation of dynamic token prunning from this paper using LLaMa 2 family of models as a base. Sign up for Llama3 8B Instruct doesn't generate EOS nor EOT tokens consistently. Find and fix vulnerabilities Codespaces. eos_token_id])" from the setting configuration. environ['CUDA_VISIBLE_DEVICES'] = '0' import torch from accelerate import Accelerator from accelerate. Intuitively, I thought it'll be helpful to add as a signal for the model to differentiate between documents. Dynamic token pruning is a technique that helps speed up the generation of long prompts. tokenizer. OpenLM Llama 7B model, trained on 1T tokens, no fast tokenizer, tokenizer initialized to have no BOS token, EOS token. Contribute to GitHub-Ahai/Llama2-Chinese development by creating an account on GitHub. 6k. Sign in Product GitHub Copilot. eos_token_id = 2 However, in finetune. Manage code changes Contribute to zhaoxlpku/DASC7606-A3 development by creating an account on GitHub. Write better code with AI Code review. larger batch in llama, so decided to dig in a bit. That's You can see that pad_token_id, bos_token_id and eos_token_id are hardcoded to 0, 1 and 2. hiyouga / LLaMA-Factory Public. Jinja2 chat templates for popular LLM models. So I added custom <|end|> token. 1k; Star 33k. The attention mask is not set and cannot be inferred from input because pad token is same as eos token. Masking is applied to prevent the tokens from attending to I'm trying to deploy a quantized Llama 7b model using the tritonllm_backend. loader - Loading dataset alpaca_en_demo. 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. from_pretrained(model_tag Then I selected Runtime > Run All. I think the issue is that there is currently no cuda prebuild of the latest 0. As a consequence, you may observe unexpected behavior. When I do inference, the model keeps on repeating the same answer or outputs too many words until Describe the bug Llama-2-7b-hf can't stop and can't generate eos_token . ggerganov / llama. Padding with a negative index 加载Meta-Llama-3. Further, when tokenising, complete turns are wrapped in BOS and EOS tokens. BOS - system - user - assistant - EOS), whereas incomplete turns are left without EOS, e. Sign up for Is your feature request related to a problem? Please describe. from_pretrained(model_file_path, trust_remote_code=True) AttributeError: can't set attribute 'eos_token' tokenizer = AutoTokenizer. 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. 2 tokenizer's BOS token id of 128000. Sign up for and you don't wrap the assistant's response. Ramblings: About LLaMA-3-LLaVA-NeXT-8B: The attention mask and the pad token id were not set. Model is fitting quite well. 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. 9k; Star 18. , 2020) to combine multiple training examples into a single sequence, separating inputs from targets using an end-of-sequence token. If you wish to add the ending token in your prompt, set add_eos_token to True System Info python 3. Skip to content. With custom end token it trains just fine BUT the Update 4/22/2024: Jonatan Klosko has added multiple eos token support to bumblebee and fixed the special tokens map issue with this model. "real" eos_token (not sure when used). It appears that in commit c0f99b4, a major change has been made to llama tokenizer, so you either install an earlier Karpathy's pretraining slide suggested the need for it. I had the same problem installing it on a local machine. Model is fitting the data. Find and fix vulnerabilities Actions. pad_token_id = model. Plan and track work Code Review. 2. This problem happens with the mistral and llama templates, but not with llama-3 or phi-3 . ai x cursor. Copy link sts07142 commented Oct 2, 2024. You switched accounts on another tab or window. Hi, can I check which token index corresponding to EOS token for llama2? Thank you. 0 --p Skip to content. 6k; Star 37k. The text was updated successfully, but these errors were encountered: 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. py:4032] 2024-04-18 22:36:19,787 >> All the weights of LlamaForCa You signed in with another tab or window. I tried running the model from https://hu 百川template中 stop_words=[ "<reserved_102>" # user token ] 百川的eos_token不是</s>吗 You signed in with another tab or window. Did I do something wrong in my script, or is this a normal behavior? This is my code 2. Is it a bug, or are there some reasons for this practice? On-going project to train PeFT adapters for specialized NLP tasks - stefanwebb/peft-for-nlp 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. sts07142 opened this issue Oct 2, 2024 · 1 comment Labels. json but unless I clone myself, I saw that vLLM does not install the generation_config. json With --unbantokens being deprecated, I think it's time to unban the EOS token by default. cpp version used in Ollama 0. But in Llama 3. 94 ms / 126 runs ( 0. Please pass your input's attention_mask to obtain reliable results. Skip to I'll implement 1. I suggest you use transformers>=4. get your data ready or be left behind - mediar-ai/screenpipe Max Tokens (max_tokens): If max_tokens is reached before a stop sequence or an eos token is generated, text generation is halted and the output is returned as-is up to max_tokens. Navigation Menu Toggle navigation. 1-8B 做pretaining时报错 raise ValueError( ValueError: Asking to pad but the tokenizer does not have a padding token. In the beginning, I thought it maybe because my dataset includes a lot of <|enoftext|> tokens, but I check the whole dataset, there is actually no <|enoftext|> inside. cpp Public. Contribute to meta-llama/llama3 development by creating an account on GitHub. 6k; Star 29. To get both padding and an eos_token, I just use the unk_token as the pad The official Meta Llama 3 GitHub site. I am trying to use simple example on Llama3 8B instruct (I tried several variations of Llama3 8B instruct model) but it fails to stop talking, AKA it doesn't generate EOS nor EOT tokens! Accord Skip to content. Llama 2 is an auto-regressive language model, based on the transformer decoder architecture. The vocab size is 28000 and the number 128000 should not appear anywhere in the input_ids list. Did you try just using the EOS token to pad? To differentiate between each speaker (user and assistant), we introduce a special end-of-turn token (EOT) at the end of each utterance; this token plays the same role as EOS of halting generation, but avoids conflation 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. Find and fix hiyouga / LLaMA-Factory Public. 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. from_pretrained(model_tag, torch_dtype=torch. emadeck asked this question in Q&A. The processor is initialised when the slow tokenizer is converted to the fast version, and changing the argument on the BOS means beginning of sentence, and EOS means end of sentence. A few days ago, Open Orca released a new model called Mistral-7B-Openorca. You signed in with another tab or window. I searched previous Bug Reports didn't find any similar reports. It was the same with Llama 1, and if you run your script with the original llama, you will get the same output: It was the same with Llama 1, and if you run your script with Llama中文社区，最好的中文Llama大模型，完全开源可商用. Try few iterations (i. 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.
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