Context shift koboldcpp

Context shift koboldcpp. KoboldCpp este o versiune Vertex Storage and KoboldCPP Context Shifting. (BTW: gpt4all is running this 34B Q5_K_M faster than kobold, it's pretty crazy) Thank you so much! I use kobolcpp ahead of other backend like ollama, oobabooga etc because koboldcpp is so much simpler to install, (no installation needed), super fast with context shift, and super customisable since the api is very friendly. Considering that this model has been lucid so far, I am expecting to eventually hit the context limit of vanilla Kobold soon. The inn has a breathtaking view of the gorge and the Mortan River that flows through it. Tokens in the GUI settings are lower than the --contextsize koboldcpp is initialized with. If models are becoming that reliable with long context, then it might be time to add support for a bigger size. cpp, and adds a versatile Kobold API endpoint, additional format support, Stable Diffusion image generation, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory, world info, author The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. Romina Remira. Aug 27, 2023 · 私もよく分からないままやっていますが、とりあえずmodelsフォルダにダウンロードしたGGMLを置いて、koboldcpp. Combining it with SillyTavern, it gives the best open source character. Primary context processing is VERY slow, generation is fast, BUT: the model has a very bad memory - it doesn't remember the name of the character that was called two replicas ago. Temperature - Pretty much every model can work decently at temperature of 1. It will get into repetition-loops, barely write correct sentences and forget who is doing what. I ran the sudo command to bump usable VRAM from 147GB to 170GB Koboldcpp backend with context shift enabled KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. 53 with the mythomax-l2-13b. Honestly it's the best and simplest UI / backend out there right now. printf("I am using the GPU"); vs printf("I am using the CPU"); so I can learn it straight from the horse's mouth instead of relying on external tools such as nvidia-smi? Should I look for BLAS = 1 in the System Info log? Apr 8, 2024 · koboldcpp. If you're using a GGUF model, your RoPE scaling should be automatically configured correctly. 29 downloaded binary koboldcpp --gpulayers 31 --useclblast 0 0 --smartcontext --psutil_set_threads The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. Somebody told me llama. The problem we have can be described as follows: Our prompt processing and token generation is ridiculously slow. SuperHOT is a new system that employs RoPE to expand context beyond what was originally possible for a model. ai experience. cpp, and adds a versatile Kobold API endpoint, additional format support, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and Additionally, KoboldCpp token fast-forwarding and context-shifting works with images seamlessly, so you only need to process each image once! A compatible OpenAI GPT-4V API endpoint is emulated, so GPT-4-Vision applications should work out of the box (e. ago. I'm probably missing something obvious here, but I can't get the new ContextShift feature to work. For best results you also want to use the KoboldAI API tokenizer. . I have a 16 GB RAM Lenovo ThinkPad provided by my organization, and I would like to utilize a large language model (LLM) for rephrasing emails and documenting code or coding in general. Ex : On Llama 70b model 👍used with BBS128 FA, blas buffer size divided by 6. syntax. KoboldAI doesn't use that to my knowledge, I actually doubt you can run a modern model with it at all. 61 GHz (8 performance cores, 4 efficient cores, total 20 threads) 16GB DDR4 RTX 3070 8GB. Furthermore, I could get a 7B model running with 32K context at something around 90-100 tokens/sec. hence why koboldcpp is an excellent app to emulate if you want to design Apr 15, 2023 · Additionally, KoboldCpp token fast-forwarding and context-shifting works with images seamlessly, so you only need to process each image once! A compatible OpenAI GPT-4V API endpoint is emulated, so GPT-4-Vision applications should work out of the box (e. • 6 mo. More context was added but the story continued in the command prompt window rather than on the UI. Go to koboldcpp website -> releases on the right -> download the source code zip. Maintainer. On my laptop with just 8 GB VRAM, I still got 40 % faster inference speeds by offloading some model layers on the GPU Jan 21, 2024 · Here are nine tips to help combat context switching: 1. Context - Going too high might break your output once you reach your model's actual context limits. You should be changing the "Max Context Length" which has a slider range to 2048, and not the "Amount to Generate". The only downside is the memory requirements for some models and generation speed being around 65s with a 8gb model. _. I liked to use koboldcpp from time to time just to communicate with some of the prescribed characters, but not that I understood much about this whole topic. Its context shifting was designed with things like Sillytavern in mind so if your not using things like Lorebooks and Vector Storage it can save a lot in processing time once your context is full. 9x of the max context budget. 7 for speed improvements on modern NVIDIA cards [koboldcpp_mainline_cuda12. Running 13B and 30B models on a PC with a 12gb NVIDIA RTX 3060. Yes it can be done, You need to do 2 things: Launch with --contextsize, e. on Jun 24, 2023. Because 9 layers used about 7 GB of VRAM and 7000 / 9 = 777. all. cpp CPU LLM inference projects with a WebUI and API (formerly llamacpp-for-kobold) Some time back I created llamacpp-for-kobold , a lightweight program that combines KoboldAI (a full featured text writing client for autoregressive LLMs) with llama. cpp, and adds a versatile Kobold API endpoint, additional format support, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory, world info, author's note, characters, scenarios and Koboldcpp by default uses a technique called MMAP, which tells your PC to load the model file into ram but it does so the same way as a file cache. KoboldAI expects a bit more handholding, but also gives you more power to do it, with the knowledge that it will also be able to incorporate more of your past history in future outputs. json file, click on Yes in the dialog window (Import Story Settings), click on menu to hide the menu. This feature is very p Recurse, so do the same thing again: 1750 - 1024 + 100 = 826 < 1024, so one summary is enough. 1. Changelog of KoboldAI Lite 14 Apr 2023: Now clamps maximum memory budget to 0. At BBS512 FA, 2x performances, and it's still a smaller blas buffer (around 2/3 size) than Dec 12, 2023 · I tried it with the model "synthia-moe-v3-mixtral-8x7b". for SillyTavern in Chat Completions mode, just enable it). Koboldcpp has a feature called "context shift" that reuses KV data when possible even when the context is full. The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. She's the 9th and current inn keeper of Heaven's View Inn in the Assamyrian Gorge. def fib [ F [_]](n: Int, a: Long = 0, b: Long = 1 ) As for the interest, I think that it's an interesting option to have a 20%+ lesser VRAM occupation for a given context size with a minimal quality loss, and for example to be able to put stable diffusion on when it could not fit before, etc. Output length. I tried disabling/enabling mmq and contextshift but the issue is still the same. KoboldCpp for its ease, low memory, disk footprint and new context shift feature. Instead of randomly deleting context these interfaces should use smarter utilization of context. dll I compiled (with Cuda 11. I have been using koboldcpp version 1. open terminal -> type cd pathtofolder. exeを実行します。 実行して開かれる設定画面では、Modelに置いたモデルを指定し、Streaming Mode、Use Smart Context、High priorityのチェックボックスに Apr 24, 2024 · So far, I am using 40,000 out of 65,000 context with KoboldCPP. Also keep in mind this feature is for people who exceeded their context, as long as your chat did not hit a context limit it won't have to trigger. RiotNrrd2001. I suspect some bug in context processing via context shift. Edit: The 1. Using the same model with the newest kobold. Other front ends I have tried once the context window is up they go off the rails and go completely crazy returning irrelevant text or code or gibberish, you can see this with textgenwebui and This is what LMstudio does even with their rolling context window enabled…. Plus, the shifting context would be pretty helpful as I tend to have RP sessions that last for 2-300 replies, and even with 32k context I still fill it up pretty fast. md at concedo · LostRuins/koboldcpp Aug 23, 2023 · Vladonai commented on Aug 23, 2023. Author's note now automatically aligns with word boundaries The main alternative to KCPP is probably Oobabooga. cpp provides mechanisms for that. 77 MIB of VRAM. When chatting with an AI character, I noticed that the context drop of 50% with smart context can be quite influential on the character's behavior (e. This ensures there will always be room for a few lines of text, and prevents nonsensical responses that happened when the context had 0 length remaining after memory was added. Some of them you'd have to trial and error, I think with a 8GB card you should be able to safely offload about 24 layers or so for a 13B model with CLBlast. I have had pretty good success with LM Studio. -. Set --contextsize to the desired max context size you want to use, e. 5x performances for 1/3 of the blas buffer size of the BBS128 buffer without FA. cpp, and adds a versatile Kobold API endpoint, additional format support, Stable Diffusion image generation, backward compatibility, as well as a fancy UI with persistent stories, editing tools, save formats, memory, world info, author In this case, KoboldCpp is using about 9 GB of VRAM. If the text gets to long that behavior changes. I read in the wiki that you use --noblas to disable OpenBlas for faster prompt generation but that flag doesn't seem to change anything. If it starts spewing strange new words, or create strange "thought chains" - there is a possibility you're going over the model's max comfy temperature. 5 for the same performance than without FA. Setting the max tokens to 32768 fixed it for me. There's a little sidenote not mentioned: static memory (the stuff at the start of your prompt that never changes) is excluded from smartcontext, the trimming only happens in This post is 3 parts. Aug 7, 2023 · When I use the working koboldcpp_cublas. Power settings on high performance and cores unparked. Windows 11 12th Gen Intel(R) Core(TM) i7-12700KF 3. It's less oriented around characters than KoboldCpp, and more about the instruct method of interacting. Open the model's page, find what prompt template it's using, and pick it from the available presets. 0. --contextsize 4096, this will allocate more memory for a bigger context. From a practical point of view, 4k contexts of models like Llama2 are a good intermediate result. In order to use the increased context length, you can presently use: KoboldCpp - release 1. Edit : Flash Attention works. Memory managers don't like this very much and trip up on it. It's not as fast as KCPP, but it has a lot more features, so it's worth a try. That is, it should remember which tokens cached, and remove only the missing ones from the latest prompt. SmartContext is a feature which halves your context but allows it to require reprocessing less frequently. In the web-gui I reset all settings, switched to story mode and put in the first chapter of Oliver Twist. În acest notebook, veți putea să utilizați KoboldCpp, un generator de texte bazat pe inteligență artificială, care vă oferă o experiență interactivă și personalizată de scriere creativă. cpp’s self extend. KoboldCPP:https://github KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. Reply reply Apr 19, 2024 · edited. For some templates you might also need to pick the matching Context Template (scroll back up). This for me IS a game changer, allowing for instant replies even on large contexts. Edit: It's actually three, my bad. 3 instead of 11. Jun 24, 2023 · LostRuins. cpp release should provide 8k context, but runs significantly slower. json file on disk (because standard path is desktop), load the . When I load a model with that flag, I still see "BLAS = 1" during load, and the prompt still shows The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. Manually override the slider values in kobold Lite, this can be easily done by just clicking the textbox above the slider to input a custom value (it is editable). e. The best way of running modern models is using KoboldCPP for GGML, or ExLLaMA as your backend for GPTQ models. The caveat is that it inherently doesn't play nice with variation happening at the top of the context stack. I ran some test here #646. After my initial prompt koboldcpp shows "Processing Prompt [BLAS] (547 / 547 tokens)" once which takes some time but after that while streaming the reply and for any subsequent prompt a much faster "Processing Prompt (1 / 1 tokens)" is done. Just wondering what this means for the future. I'm trying storywriting with KoboldCpp. Two issues with KoboldCPP. A simple one-file way to run various GGML and GGUF models with KoboldAI's UI - koboldcpp/README. 53. (EOS token triggered!) Koboldcpp. 1 update to KoboldCPP appears to have solved these issues entirely, at least on my end. Basically it only requires processing the new content instead of the whole buffer with every prompt, and once you run out of context space it works like a rolling buffer, instead of reprocessing it all by cutting out the oldest text. Then requesting the server with multiple prompts > 204 tokens will trigger the infinite loop of "context shift" bug. It's a single self contained distributable from Concedo, that builds off llama. Take those 95 2nd level summary tokens, append 1024 1st level summary tokens (the last parts!), then append the world info, then append 512 context tokens. But even this size of context is not fully perceived by the model - the model Nov 14, 2023 · About 10 days ago, KoboldCpp added a feature called Context Shifting which is supposed to greatly reduce reprocessing. KCPP's Context Shifting allows for near instant prompt processing times when you're not injecting dynamic information too far in the old context. Reply. If you are unsure of the path, type "cd " and then open a finder folder, navigate to the koboldcpp folder you made, and at the top of the finder window you'll see the name of the folder. 3. But what if you DO use one or both of those things? What happens then and how does it compare to using Smart Context in that (heh) context? For smartcontext, it's a tradeoff, half context is actually the minimum limit, but the actual context would be somewhere in between 0. so more information needed i guess. We have configured the model to process all context (persistent prompts, as well as everything contained in our Nov 6, 2023 · This can be reproduced "reliably" by loading a model with --ctx-size=2048, --parallel=10 and --cont-batching so that each request slot only has a context size of 204 tokens. How does it compare to KoboldCpp with full GPU offloading? As a Windows only user I haven't experienced it in any way. I've downloaded the newest koboldcpp version, launched the GUI, selected ContextShift (and deselectet SmartContext to be sure) and let it load. Dears, I tried a few mistral models with context 32k, but when I go over 8k koboldcpp started returning gibberish, at the start I thought it was the issue with the model then I tired LM Studio and I easily reach 11K without the same issue. I don’t enough for it to be worth keeping my instance saved to network storage, and I’d prefer to just load a different template rather than have to SSH in and remake llamacpp. exe]. Some work with Default but others, like ChatML require the matching "ChatML" Context Template. As you can see here, "you continue walking" and "i decide to look around for more suppies" are added by the AI as an following to what i added in story mode, those 2 sentences were not added by me. mmap is memory mapped I/O, generally you Jun 14, 2023 · A look at the current state of running large language models at home. I have 12 GB of VRAM, and only 2 GB of VRAM is being used for context, so I have about 10 GB of VRAM left over to load the model. But slower when generating. There is a Dynamic Temp + Noisy supported version included as well [koboldcpp_dynatemp_cuda12. Behavior for long texts. cpp (a lightweight and fast solution to running 4bit . If I enable vertex storage, even at a depth of 2, the inserted messages push off enough context to cause a near-full regeneration. Take the first 826 tokens, summarize them to let's say 95. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. Note that this model is great at creative writing, and sounding smart when talking about tech stuff, but it sucks horribly at stuff like logic puzzles or (re-)producing factually correct in-depth answers about any topic I'm an I managed to get Koboldcpp installed and running on my Mac, and wanted to toy around with "Accelerate". Q5_0 model for quite some time now without any problems with noromaid-v0. She's usually found behind the counter in the main room, taking and serving orders from clients. gender: female; age: 29. Koboldcpp does not currently support context sizes above 8192. Serving as rest api with node-llama-cpp? Hello there!. She's a harsh woman, and a hard life has taken its toll. Koboldcpp : r/KoboldAI. Use do not disturb: Give employees permission to use do not disturb modes or calendar blocks for focused work. when 4096 is cut Heres the setup: 4gb GTX 1650m (GPU) Intel core i5 9300H (Intel UHD Graphics 630) 64GB DDR4 Dual Channel Memory (2700mhz) The model I am using is just under 8gb, I noticed that when its processing context (koboldcpp output states "Processing Prompt [BLAS] (512/ xxxx tokens)") my cpu is capped at 100% but the integrated GPU doesn't seem to be doing anything whatsoever. She's shaped by the hard work at the inn. Subreddit to discuss about Llama, the large language model created by Meta AI. Sometimes this degrades the output significantly. At BBS256 FA, 1. With koboldcpp's context shift its about 14t/s(7b at q4 is 24t/s). 5 and 1. Unfortunately, I've run into two problems with it that are just KoboldCpp - Combining all the various ggml. import cats. It was discovered and developed by kaiokendev. A few days ago I quantized a 4x7b model (~28gb)using system ram and an nvme, it took about 8 minutes to make a q2_k_s which fits in my rx6600(8gb vram), the file itself is about 7gb. 2. It's certainly not just this context shift, llama is also seemingly keeping my resources at 100% and just really struggling with evaluating the first prompt to begin with. Forward that as prompt to the LLM. The context is quickly processed on medium class computers and its size already allows to fill the communication with some depth. 4-mixtral-instruct-8x7b-zloss. These are SuperHOT GGMLs with an increased context length. When triggered, KoboldCpp will truncate away the first half of the existing context (top 1024 tokens), and 'shift up' the remaining half (bottom 1024 tokens) to become the start of the new context window. So the ram you are seeing dedicated to Koboldcpp's process is only the context of your story, while the real model is sometimes not The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. The best part is it runs locally and depending on the model, uncensored. testing Google Colab este o platformă gratuită de programare în cloud, care vă permite să rulați cod Python și să experimentați cu diferite biblioteci și tehnologii. It is a place of natural beauty and serenity, but also a place of danger and adventure. It turns out that happens when the Max ctx. But there are various context extensions methods you can use in various UIs to give longer context. exe を直接起動してランチャでオプションを指定することで、お好みの設定で KoboldCpp を利用することができます。 動作環境などによる問題があった場合に、適切に設定を変更することで問題に対処できる可能性があります。 The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. . 77 we can assume each layer uses approximately 777. Use integrations: Streamline commonly used business tools to focus your team's efforts, reducing time and the need for context switching. 0-2. Part 1 are the results and Part 2 is a quick tutorial on installing Koboldcpp on a Mac, as I had struggled myself with that a little Setup: M2 Ultra Mac Studio with 192GB of RAM. May 18, 2023 · I have been playing around with Koboldcpp for writing stories and chats. A release that complies the latest koboldcpp with CUDA 12. Context shift automatically happens if enabled so long as you disable things like world/lorebooks and vectorization. It's also possible to override the max slider values by manually editing the text number on the input. You'll need another software for that, most people use Oobabooga webui with exllama. Q3_K_M [at 8k context] Based on my personal experience, it is giving me better performance at 8k context than what I get with other back-ends at 2k context. 0 of the max context length. I choosed that high number because it's the biggest context size I use with some models, and koboldcpp sets it automatically down to the value set using Jun 13, 2023 · Maintainer. However, a segmentation fault occurred when Context Shifting erased tokens, ie: [Context Sh Jan 14, 2024 · About 10 days ago, KoboldCpp added a feature called Context Shifting which is supposed to greatly reduce reprocessing. CUDA 12. 39. I am currently using the node-llama-cpp library, and I have found that the Mistral 7B Instruct GGUF model Context length is 2048. 5 tps unless your CPU/mobo/RAM are also very old. It seem to be processing prompt faster than CuBLAS, which I love. 3 build of koboldcpp-1. EvenSmarterContext) - This feature utilizes KV cache shifting to automatically remove old tokens from context and add new ones without The most popular fork KoboldCpp is in active development, and was the first to adopt the Min P sampler, and even distincts itself with the context shift feature. You can use the included UI for stories or chats, but can be connected to Oct 28, 2023 · Basically, since Llama 2 can use 4096 tokens of context and being able to stretch it by up to 4x (as explained in your helpful Wiki), the context window is a lot bigger now. A. So, I've tried all the popular backends, and I've settled on KoboldCPP as the one that does what I want the best. Jul 1, 2023 · KoboldAI. Here is their official description of the feature: NEW FEATURE: Context Shifting (A. Apr 9, 2023 · open the menu (because I run koboldcpp in a narrow browser window), click on Load, search the . The shift operation is an effect that triggers a logical fork. Mar 10, 2010 · Behavior for short texts. KoboldCPP, on another hand, is a fork of Jan 28, 2024 · Love the Vulkan backend. 33 or later. Hi everyone,I don't understand why ContextShift doesn't seem to work when I use SillyTavern with koboldcpp. I'm not sure how much this has been tested, but with vertex storage off it seems like KoboldCPP's Context Shifting is working well with SillyTavern. At some point the story will get longer than the context and KoboldCpp starts evicting tokens from the beginning, with the (newer) ContextShift feature. Please let koboldcpp do this hard work. --contextsize 4096 for a 4K context, or --contextsize 8192 for 8K context limit. For example, say we wanted to ensure that the current thread isn't occupied forever on long running operations, we could do something like this: import cats. It’s really easy to setup and run compared to Kobold ai. + To use the increased context with KoboldCpp, use `--contextsize` to set the desired context, eg `--contextsize 4096` or `--contextsize 8192`. It can take up to 30s for a 200 token message, and the problem only gets worse as more tokens need to be processed. Nov 30, 2023 · Does koboldcpp log explicitly whether it is using the GPU, i. Additionally, KoboldCpp token fast-forwarding and context-shifting works with images seamlessly, so you only need to process each image once! A compatible OpenAI GPT-4V API endpoint is emulated, so GPT-4-Vision applications should work out of the box (e. I have been using smartcontext for at least a week or so). For GGUF Koboldcpp is the better experience even if you prefer using Sillytavern for its chat features. Jun 8, 2023 · Environment and Context. Kobold evals the first prompt much faster even if we ignore any further context whatsoever. 4) yesterday before posting the aforementioned comment, this instead of recompiling a new one from your present experimental KoboldCPP build, the context related VRAM occupation growth becomes normal again in the present experimental KoboldCPP build. K. Jun 14, 2023 · This makes it a bit more involved than Ooba, which you can generally treat more like a roleplay partner with their own sense of agency. Certainly, Heaven's View Inn is a remote and exotic inn, perched on the east side of the Assamyrian Gorge in a rugged and mountainous region. So no high level lorebooks and variable macros in exchange for higher speeds. Apr 7, 2023 · Perhaps you are editing the wrong field. g. KoboldCpp Special Edition with GPU acceleration released! There's a new, special version of koboldcpp that supports GPU acceleration on NVIDIA GPUs. For example KoboldCpp’s context shift, llama. Latest release v1. Not all tasks require to fill an endless context requiring context shift for a smooth pursuit. Be aware that koboldcpp has "Context shift" which will make subsequent requests require less blas processing so long as nothing changes in the memory/characterinfo area of context (so avoid lorebooks/world info with triggers as it will force a full blas reprocess). Here is where you need it. effect. So long as you use no memory/fixed memory and don't use world info, you should be able to avoid almost all reprocessing between consecutive generations even at max context. id expect more like 2. Unzip it. fa mt sp oa om wn wm on ra hf