Kobold cpp smart context.

Kobold cpp smart context Jul 21, 2024 · Llama. Seems to me best setting to use right now is fa1, ctk q8_0, ctv q8_0 as it gives most VRAM savings, negligible slowdown in inference and (theoretically) minimal perplexity gain. 11. Jul 7, 2023 · Using the same model with the newest kobold. gguf LLaVA mmprojに Ocuteus-v1-mmproj-f16. Unfortunately, because it is rebuilding the prompt frequently, it can be significantly slower than Lama CPP, but it's worth it if you are trying to get the AI It's a simple executable that combines KoboldLite UI with llama. cpp currently does not support. cppの機能をすべてフォローしているわけではなく、逆に独自の機能拡張もいくつかなされているようです。 Jul 30, 2022 · [Nora Decker is a tough and determined young woman working as an engineer in the colony. cpp, kobold. Increasing blas batch size does increase the scratch and KV buffer requirements. 3. It seems like maybe koboldcpp is trying to add a BOS token to the start of the prompt, but you're also adding a BOS token in your formatting, which is resulting in kobold changing the very first token in the cache each time, and thus thinking it has to reprocess the whole context every time. "NEW FEATURE: Context Shifting (A. The text was updated successfully, but these errors were encountered: Hello, I recently bought an RX 580 with 8 GB of VRAM for my computer, I use Arch Linux on it and I wanted to test the Koboldcpp to see how the results looks like, the problem isthe koboldcpp is not using the ClBlast and the only options that I have available are only Non-BLAS which is not using the GPU and only the CPU. cpp). About testing, just sharing my thoughts : maybe it could be interesting to include a new "buffer test" panel in the new Kobold GUI (and a basic how-to-test) overriding your combos so the users of KoboldCPP can crowd-test the granular contexts and non-linearly scaled buffers with their favorite models. Kobold. KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. The recently released Bluemoon RP model was trained for 4K context sizes, however, in order to make use of this in llama. Can browse web and do some other stuff. That is, it should remember which tokens cached, and remove only the missing ones from the latest prompt. cpp and better continuous batching with sessions to avoid reprocessing unlike server. cpp, KoboldCpp now natively supports local Image Generation!. cpp seems to process the full chat when I send new messages to it, but not always. Click the gear icon, then Jul 20, 2023 · Thanks for these explanations. cpp — программа для запуска, качать отсюда. \\koboldcpp. ggufをそれぞれ選択してください。 推奨されるContext Size は 16384 となっています。 Jan 25, 2024 · KoboldCPPは、llama. Reply reply Yes, Kobold cpp can even split a model between your GPU ram and CPU. cpp context window seem larger. I am using the prebuilt koboldcpp 1. 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 A "Major Component", in this context, means a major essential component (kernel, window system, and so on) of the specific operating system (if any) on which the executable work runs, or a compiler used to produce the work, or an object code interpreter used to run it. If you want less smart but faster, there are other I should have been more specific. How it works: when enabled, Smart Context can trigger once you approach max context, and then send two consecutive prompts with enough General Introduction. Обратите внимание, нужна ли вам поддержка CUDA (это поддержка видеокарт Nvidia). Качать здесь. Environment and Context. The best part was being able to edit previous context and not seeing a GGUF slowdown as it reprocessed. Finally got it running in chat mode, but I face a wierd issue where the token generation in the beginning is 1~4 Tokens/s and drops to 0. 1 koboldcpp-1. Harder Better Faster Stronger Edition. ) (Note: Sub-optimal sampler_order detected. Github - https://github. cpp that kobold. This message will only show once per session. Jun 4, 2024 · (Warning! Request max_context_length=8192 exceeds allocated context size of 2048. 1-GGUF — сама модель. This release brings an exciting new feature --smartcontext, this mode provides a way of prompt context manipulation that avoids frequent context recalculation. Jan 24, 2024 · I looked into your explanations to refresh my memory. kobold. This can help alpaca. 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 The only time kobold. What is Smart Context? Smart Context is enabled via the command --smartcontext. Extrapolate. cpp to generate more accurate and relevant responses. Once done, I delete the output and then resubmit the previous context again. I use 3060ti and 16gb of RAM. I wrote the context management in C# using strong OOP patterns, and while I can write C to a degree, I don't have nearly the familiarity required to properly translate the classes into the structures/functions that would be required per the Llama. Do not confuse backends and frontends: LocalAI, text-generation-webui, LLM Studio, GPT4ALL are frontends, while llama. cpp models. After a story reaches a length that exceeds the maximum tokens, Kobold attempts to use "Smart Context" which I couldn't find any info on. It's a fork of Llama CPP that has a web UI and has features like world info and lorebook that can append info to the prompt to help the AI remember important info. cpp has a good prompt caching implementation. 43. Plus context size, correcting for windows making only 81% available, you're likely to need 90GB+. Smart Context Config Panel. cpp with context shifting in 8k context, 5 layers offload. Just to let you know, the chat is brand new. Run the EXE, it will ask you for a model, and poof! - it works. cpp with and without the changes, and I found that it results in no noticeable improvements. May 10, 2024 · Does Obsidian Smart Connections work with programs like Text-Gen-UI or Kobold. There are dozens at this point. cpp didn't "remove" the 1024 size option per-se, but they reduced the scratch and KV buffer sizes such that actually using 1024 batch would run out of memory at moderate context sizes. The problem I'm having is that KoboldCPP / llama. cpp exposes is different. 43 is just an updated experimental release cooked for my own use and shared with the adventurous or those who want more context-size under Nvidia CUDA mmq, this until LlamaCPP moves to a quantized KV cache allowing also to integrate within the . That will be truly huge. You can then start to adjust the number of GPU layers you want to use. NEW FEATURE: Context Shifting (A. Usually only a 3-4 seconds for 250 tokens. Apr 14, 2023 · Edit 3: Smart context. 有大佬取消勾选contextshift(Context Shifting是Smart Context的改进版本，仅适用于GGUF模型)并勾选flashattention(--flashattention可用于在使用 CUDA/CuBLAS 运行时启用，从而可以提高速度并提高内存效率。)，并将Tokens选项卡中的Quantize KV Cache设置为4Bit，不知道有什么区别，没有 By doing the above, your copy of Kobold can use 8k context effectively for models that are built with it in mind. cpp has matched its token generation performance, exllama is still largely my preferred inference engine because it is so memory efficient (shaving gigs off the competition) - this means you can run a 33B model w/ 2K context easily on a single 24GB card. One thing I'd like to achieve is a bigger context size (bigger than the 2048 token) with kobold. The responses would be relevant to the context, and would consider context from previous messages, but it tended to fail to stop writing, routinely responding with 500+ tokens, and trying to continue writing more, despite the token length target being around 250), and would occasionally start hallucinating towards the latter end of the responses. I try to keep backwards compatibility with ALL past llama. It provides an Automatic1111 compatible txt2img endpoint which you can use within the embedded Kobold Lite, or in many other compatible frontends such as SillyTavern. We would like to show you a description here but the site won’t allow us. tensorcores support) and now I find llama. 0bpw at 4096 context -- can't fit 6. May 7, 2023 · This is a feature from llama. The BLAS processing is like 30 seconds and the generation for ~300 - 500 tokens is like 2-3 minutes. cpp has continued accelerating (e. --contextsize 4096, this will allocate more memory for a bigger context 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). Once Smart Context is enabled, you should configure it in the SillyTavern UI. There is one more I should mention, the mixtral CPU improved fork: Nov 8, 2023 · This currently works without context shifting. As far as models go, I like Midnight Miqu 70B q4_k_m. EvenSmarterContext) - This feature utilizes KV cache shifting to automatically remove old tokens from context and add new ones without requiring any reprocessing. K. And while many chalk the attachment to ollama up to a "skill issue", that's just venting frustration that all something has to do to win the popularity contest is to repackage and market it as an "app". New release LostRuins/koboldcpp version v1. It's not that hard to change only those on the latest version of kobold/llama. Using kobold. If you load the model up in Koboldcpp from the command line, you can see how many layers the model has, and how much memory is needed for each layer. The Plex Media Server is smart software that makes playing Movies, TV Shows and other media on your computer simple. Kobold evals the first prompt much faster even if we ignore any further context whatsoever. CPP models (ggml, ggmf, ggjt) KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. 48. But Kobold not lost, It's great for it's purposes, and have a nice features, like World Info, it has much more user-friendly interface, and it has no problem with "can't load (no matter what loader I use) most of 100% working models". cpp models are Larger for my same 8GB of VRAM (Q6_K_S at 4096 context vs EXL2 4. Cpp, in Cuda mode mainly!) - Nexesenex/croco. cpp being shite and broken. It's extremely useful when loading large text. It also tends to support cutting edge sampling quite well. cppの開発進捗に順じて機能が追加されている印象です。 ただし、llama. 15. 4+ (staging, latest commits), and I made sure I don't have any dynamic information added anywhere in the context sent for processing. 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 node-llama-cpp builds upon llama. 5 or SDXL . comments sorted by Best Top New Controversial Q&A Add a Comment twisted7ogic • "This feature utilizes KV cache shifting to automatically remove old tokens from context and add new ones without requiring any reprocessing. 1 + SillyTavern 1. cpp PR#7527] Quantized KV Support to [llama. 1 with Context Shifting (A. g. cpp, you can load any SD1. 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. I guess it could be some 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. b1204e This Frankensteined release of KoboldCPP 1. Now natively supports: All 3 versions of ggml LLAMA. 31 and still isn't working in the latest version. What I like the most about Ollama is RAG and document embedding support; it’s not perfect by far, and has some annoying issues like (The following context…) within some generations. cpp-frankensteined_experimental_v1. this is an extremely interesting method of handling this. So practically it is not very usable for them. I suppose it's supposed to condense the earlier text so that it will fit into the allotted tokens somehow. I have been using smartcontext for at least a week or so). cpp provides mechanisms for that. For big models, AMX might become the best answer for the consumer. Running language models locally using your CPU, and connect to SillyTavern & RisuAI. 01 MiB llama_new_context_with_model: graph nodes = 2312 llama_new_context_with_model: graph splits = 719 Load Text Model OK: True Embedded Kobold Lite loaded. A bit off topic because the following benchmarks are for llama. Merged optimizations from upstream Updated embedded Kobold Lite to v20. Using GPT-2 or NAI through ST resolves this, but often breaks context shifting. 30 billion * 2 bytes = 60GB. (BTW: gpt4all is running this 34B Q5_K_M faster than kobold, it's pretty crazy) KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. It will be reduced to fit. Open kobold Set context to 8k You should expect less VRAM usage for the same context, allowing you to experience higher contexts with your current GPU. cpp but I don't know what the limiting factor is. Consider a chatbot scenario and a long chat where old lines of dialogue need to be evicted from the context to stay within the (4096 token Lorebooks/Memories, ST Smart Context, ST Vector Storage, set Example Dialogues to Always included. Hi, I'm pretty new to all this AI stuff and admit I haven't really understood how all the parts play together. ——— I feel RAG - Document embeddings can be an excellent ‘substitute’ for loras, modules, fine tunes. top k is slightly more performant than other sampling methods Feb 9, 2024 · You can see the huge drop in final T/s when shifting doesn't happen. ” This means a major speed increase for people like me who rely on (slow) CPU inference (or big models). cpp wouldn't it also effect the older versions of kobold. Koboldcpp 1. If it came from llama. When it finished loading, it will present you with a URL (in the terminal). Common challenges include: Model Weight Compatibility: Ensuring GGUF conversion matches Kobold CPP expectations; Performance Tuning: Adjusting inference parameters for optimal results; Memory Management: Handling model loading and inference efficiently kobold. smart context shift similar to kobold. cpp, I compiled stock llama. Steps to Reproduce. The fastest GPU backend is vLLM, the fastest CPU backend is llama. How it works: when enabled, Smart Context can trigger once you approach max context, and then send two consecutive prompts with enough Feb 2, 2024 · ContextShift vs Smart Context There is a bit inside the documentation about ContextShift that I&#39;m not clear about: So long as you use no memory/fixed memory and don&#39;t use world info, you should be able to avoid almost a What is Smart Context? Smart Context is enabled via the command --smartcontext. While the models do not work quite as well as with LLama. Download the model in GGUF format from Hugging face. cpp. Updated Kobold Lite, multiple fixes and improvements NEW: Added deepseek instruct template, and added support for reasoning/thinking template tags. Instead of processing the entire context, it only processes a portion of it. 0 better but haven't tested much. Kobold is very and very nice, I wish it best! <3 “This feature utilizes KV cache shifting to automatically remove old tokens from context and add new ones without requiring any reprocessing. This page is community-driven and not run by or affiliated with Plex, Inc. This video is a simple step-by-step tutorial to install koboldcpp on Windows and run AI models locally and privately. Loading Sign in. Nora is athletic and quick with green eyes and dark black hair. For the rest of the text before the smart context anchor (start point), you can treat it as completely excluded from context and hence no matter how you modify it, nothing will change in the context window and it will have no effect. cpp's problem, because I try that in runpod, it can output normal quality reply when the context keep under 8192 tokens. I think it was using the new context caching at that point I forgot the details. cpp has something called smart context. Otherwise, select the same settings you chose before. You can consider it still a "beta test" and will improve rapidly with both features in the pipeline and improvements to the underlying AI models. Advanced users should look into a pipeline consisting of Kobold-->SimpleProxyTavern-->Silly Tavern, for the greatest roleplaying freedom. 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. If you're doing long chats, especially ones that spill over the context window, I'd say its a no brainer. " This means a major speed increase for people like me who rely on (slow) CPU inference (or big models). It's a single self contained distributable from Concedo, that builds off llama. safetensors model and it will provide an A1111 compatible API to use. You can now start the cell, and after 1-3 minutes, it should end with your API link that you can connect to in SillyTavern: Even with full GPU offloading in llama. (for Croco. I'm using SillyTavern's staging branch as my frontend. 1Tokens/s in a few replies and stays there. Everytime I my chat or story gets longer I eventually reach a point where koboldcpp says "Processing Promt BLAS [512/1536]" (its always 1536) and after that with every new input it again starts with BLAS [512/1536]. But smart context will chop off the start of the context windows. Lewdiculous changed discussion title from [llama. So their "Real" context sizes are also those settings and if you get a tiny bit above that everything implodes heavily. com/LostRuins/koboldcppModels - https://huggingfa Apr 25, 2024 · llama_new_context_with_model: CUDA0 compute buffer size = 12768. Aug 17, 2023 · I'm using 4096 context pretty much all the time, with appropriate RoPE settings for LLaMA 1 and 2. So I got curious to ask, can you consider adding a setting or parameter to make smart context drop less? (e. Once it pass to 10000 tokens, its reply quality will significately drop. The system ram bandwidth and it being shared between cpu/igpu is why igpu generally doesn't help - gen speed is mainly gb/s ram speed. cutting from 4096 into 3072). Another common one is it outputting /n/n/n a total of 1020 times. ) It's "slow" but extremely smart. If the context overflows, it smartly discards half to prevent re-tokenization of prompts, in contrast to ooba, which simply forced to discard most cache whenever the first chat message in the prompt is dropped due to context limit. Being able to manually clear corrupt context would save a lot of time. \\MLewd-ReMM-L2-Ch Dec 2, 2023 · For entertainment, these offer simultaneous llm output with methods to retain context, allows outputs that can be vocalized via TTS voice simulation, inputs via mucrophone, and can provide illustrations of content via stable diffusion, and allow multiple chat bot "characters" to be in the same conversation, all of which honestly gets a bit surreal. cpp with extra features (e. You may have reduced quality. Samplers don't affect it. 0bpw even at 2048 context, even ) May 21, 2023 · Currently I either restart or just have it output the 1020 tokens while I do something else. Jan 16, 2025 · I suspect this 8192 upper limit is llama. By summarizing the text, you are essentially providing alpaca. cpp I offload about 25 layers to my GPU using cublas and lowvram. [Context Shifting: Erased 140 tokens at position 1636]GGML_ASSERT: U:\GitHub\kobold. any ideas what is causing this? Moreover, Kobold boasts an additional perk with its smart context cache. I run 13b ggml 5_k_m quant with reasonable speeds. But you are also encouraged to reconvert/update your models if possible for best results. 7. Instead of randomly deleting context these interfaces should use smarter utilization of context. cpp, oobabooga, llmstudio, etc. How it works: when enabled, Smart Context can trigger once you approach max context, and then send two consecutive prompts with enough Since v1. close close close Sign in. cppに優先的にPC性能を回す？）にはチェックを入れたほうがいいでしょう。 The Smart Chat feature uses the same AI technology, adding ChatGPT, to give you a conversational interface with your notes. Chat until it starts shifting context. This particular one may also be related to updates in llama. Strangely enough, I'm now seeing the opposite. llama. 4 Mixtral Q4KM on kobold. Jun 26, 2024 · In this video we quickly go over how to load a multimodal into the fantastic KoboldCPP application. CPP on locally run models? I can't seem to get it to work and I'd rather not use OpenAI or online third party services. 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 Thanks to the phenomenal work done by leejet in stable-diffusion. when 4096 is cut into 2048). (There's also a 1. Nora is smart and perceptive, with a keen eye for problems and opportunities. 5 version, I found the 1. Sep 27, 2024 · 项目概述. While Kobold is built on top of llamacpp, it employs 'smart context' which sheers the oldest part of the kv cache and only needs to ingest the most recent reply (when the context is otherwise identical). Cpp is a 3rd party testground for KoboldCPP, a simple one-file way to run various GGML/GGUF models with KoboldAI's UI. Sep 19, 2023 · The memory will be preserved as the smart context is spent, and only gets refreshed when it's exhausted. Apr 9, 2023 · Yes, the summarizing idea would make the alpaca. gguf. There have also been reported final tokens/second speed improvements for inference, so that's also grand! Also want to mention that I have the exact same specs, 3070ti 8 VRAM/32 RAM. cpp, you must use the --ctx_size 4096 f Try using Kobold CPP. close. One of the obstacles was getting Flash Attention in, that has been done initially 2 weeks ago. Smart Context configuration can be done from within the Extensions menu . cpp; ollama; ObsidianのCopilotプラグイン; 色々なモデル名前も紹介されているが、これらは後でまた見る。まずはモデルを動かすためのツールが先だ。意外とツールっぽいものは少ない。記事中でリンクされていたこっちの記事も見てみる Oct 13, 2023 · Can someone please tell me, why the size of context in VRAM grows so much with layers? For example, if I have a model in GGUF with exactly 65 layers, then . I am not using context shifting (nor smart context, checkboxes are unchecked), just relying on large max context (in this case, 16k). Oct 24, 2023 · 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. I have brought this up many times privately with lostruins, but pinpointing the exact issue is a bit hard. Tested using RTX 4080 on Mistral-7B-Instruct-v0. 5_K_M 13b models should work with 4k (maybe 3k?) context on Colab, since the T4 GPU has ~16GB of VRAM. 57. faster than united and support more context [up to 16k in some model] may incoherent sometime but good enough for rp purpose. 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 Feb 17, 2024 · You can see the huge drop in final T/s when shifting doesn't happen. cpp and what version of ST are It has additional optimizations to speed up inference compared to the base llama. cppをベースにしていて、だいたいllama. I haven't done any synthetic benchmark but with this model context insanity is very clear when it happens. Nov 14, 2023 · NEW FEATURE: Context Shifting (A. Become a Patron 🔥 - https://patreon. In short, this reserves a portion of total context space (about 50%) to use as a 'spare buffer', permitting you to do prompt processing much less frequently (context reuse), at the cost of a reduced max context. exe --model . ] Jan 16, 2024 · Particularly troublesome because the new imatrix quants aren't supported by kobold yet, so if this isn't fixed before they come out, I basically wont be able to use them. Which caches the previous context and so it doesn't have to process the whole context again. 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. 05 MiB llama_new_context_with_model: CUDA_Host compute buffer size = 152. cpp and lack of updates on Kobold (i think the dev is on vacation atm ^^) I would generally advise people to try out different forks. However, when the context is shifting, it instead reprocesses the whole context. cu:255: src0->type == GGML_TYPE_F32 || src0->type == GGML_TYPE_F16 <CRASH> But very promising, for this point of the implementation. close close close Unfortunately the "SmartContext" (a function that re-uses some of the context and thus avoids having to process the full context every time which takes to long on my system) has been broken for me for a few month now and the developer doesn't seem to be able to reproduce the issue. cpp for inference. cpp, and then recompile. The API kobold. cpp PR#7527] GGUF Quantized KV Support Jun 2 Jul 7, 2023 · Using the same model with the newest kobold. cpp, koboldcpp, vLLM and text-generation-inference are backends. Offload 41 layers, turn on the "low VRAM" flag. cpp, such as reusing part of a previous context, and only needing to load the model once. c I've already tried using smart context, but it doesn't seem to work. cpp 构建，并增加了灵活的 KoboldAI API 端点、额外的格式支持、Stable Diffusion 图像生成、语音转文本、向后兼容性，以及具有持久故事 For me, right now, as soon as your context is full and you trigger Context Shifting it crashes. KoboldCpp is an easy-to-use AI text generation software for GGML and GGUF models, inspired by the original KoboldAI. Since the patches also apply to base llama. Change the GPU Layers to your new, VRAM-optimized number (12 layers in my case). May 16, 2024 · @ Meggido What I hear from EXL2 now, the other selling point is the 4-bit KV Cache for context, which makes context much more memory efficient, we're still waiting for that implementation in GGUF form. cpp server has more throughput with batching, but I find it to be very buggy. The above command puts koboldcpp into streaming mode, allocates 10 CPU threads (the default is half of however many is available at launch), unbans any tokens, uses Smart context (doesn't send a block of 8192 tokens if not needed), sets the context size to 8192, then loads as many layers as possible on to your GPU, and offloads anything else Now do your own math using the model, context size, and VRAM for your system, and restart KoboldCpp: If you're smart, you clicked Save before, and now you can load your previous configuration with Load. This is a follow-up to my previous posts here: New Model RP Comparison/Test (7 models tested) and Big Model Comparison/Test (13 models tested) Originally planned as a single test of 20+ models, I'm splitting it up in two segments to keep the post managable in size: First the smaller models (13B + 34B), then the bigger ones (70B + 180B). Jun 14, 2023 · KoboldAI, on the other hand, uses "smart context" in which it will search the entire text buffer for things that it believes are related to your recently entered text. It is a single self-contained distributable version provided by Concedo, based on the llama. 1 MacOS 10. 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 Oct 20, 2024 · 综合介绍. If anybody is curious, from another user's experience meaning mine, the minute I turned on flash attention even though GPU processing was fast before using it, I went from 30 seconds to 5 seconds with the processing after the first message, meaning after the context was first loaded. cpp? Because simply reverting kobold version fixed it for me. Q6_K. cpp style guidelines. the relevant terminal output from kobold cpp is given below. My experience was different. cpp release should provide 8k context, but runs significantly slower. Toggle this in Jun 13, 2023 · Yes it can be done, You need to do 2 things: Launch with --contextsize, e. The model is as "smart" as using no scaling at 4K, continues to form complex sentences and descriptions and doesn't go ooga booga mode. This will allow Koboldcpp to perform Context Shifting, and Processing shouldn't take more than a second or two, making your responses pretty much instant, even with a big context like 16K for example. KoboldCpp 是一款基于GGUF模型设计的易于使用的AI文本生成软件，灵感来源于原始的KoboldAI。 该项目由Concedo提供，作为单一自包含分发包，它在llama. Find "Releases" page on github, download the latest EXE. Now with this feature, it just processes around 25 tokens instead, providing instant(!) replies. 1. 1 on GitHub. How it works: when enabled, Smart Context can trigger once you approach max context, and then send two consecutive prompts with enough Nov 12, 2024 · Hey, a little bit at my wits end here, I'm was trying to run Mistral-Large-Instruct-2407-GGUF Q5\_K\_M using kobold CPP but it context shift Jul 26, 2023 · * exllama - while llama. Basically with cpu, you are limited to a) ram bandwidth b) number of cores. cpp kv cache, but may still be relevant. The v ram and ram usage. cpp基础上扩展，增加了灵活的KoboldAI API端点、额外的格式支持、稳定扩散图像生成、语音到文本等功能，并配备了一个带有持久故事、编辑工具 Smart context is significantly faster in certain scenarios. I use kobold cpp and i divide by 10 layer vram and rest go to ram. Smart context also allows safely editing of previously generated text without worrying about the entire context being reprocessed. 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 Jul 23, 2023 · Streaming Mode （全部文章が決まる前に少しずつ文章を出力してくれる）、 Use Smart Context （話が長くなってきても続けられる？）、 High priority （Kobold. cpp\ggml-cuda\rope. When I moved from Ooba to KoboldCPP, Ooba did not support context caching, whereas Kobold already implemented smart context, with context caching introduced later. 1st time running kobold cpp on laptop ryzen 5625U 6 core / 12 thread, 24GB ram, windows 11 and 6B/7B models. This is done automatically in the background for a lot of cases. v-- Enter your model below and then click this to start Koboldcpp [ ] At 16K now with this new method, there are 0 issues from my personal testing. cpp did not answer me was some kind of internal state and restarting both silly tavern and koboldcpp fixed it. 60, provides native image generation with StableDiffusion. Jun 28, 2023 · The smart context function stopped working when I updated to version 1. Although it has its own room for improvement, it's generally more likely to be able to search and find details in what you've written so far. 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 Comprehensive API documentation for KoboldCpp, enabling developers to integrate and utilize its features effectively. Something about the implementation affects thing outside of just tokenization. Processing Prompt [BLAS] (512 / 2024 tokens) Processing Prompt [BLAS] (2024 / 2024 tokens) Generating (8 / 8 tokens) [New Smart Context Triggered! Jul 6, 2023 · Using the same model with the newest kobold. Since the entirety of your brothers conversation is different from yours, his request doesn’t match your old context, so kobold thinks “oh this is an entirely new context” and then has to process all 8k (or whatever size his context is) of his tokens again, instead of just the most recent few hundred. out of curiosity, does this resolve some of the awful tendencies of gguf models too endlessly repeat phrases seen in recent messages? my conversations always devolve into obnoxious repetitive bullshit, where the AI more it less copy pastes give paragraphs from previous m messages, but slightly varied, then finally tacks on something KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models. LOT MORE ERROR THAN CPP COLAB) kobold cpp colab (for no/shit pc people, running quantized model. Apr 24, 2025 · Implementing DeepSeek-Lite-V2 with Kobold CPP isn't always straightforward. Run Koboldcpp 1. cpp; Kobold. Truncated, but the this is the runtime during a generation, with the smart context being triggered at random, but still only resulting in a marginal improvement. You can configure thinking rendering behavior from Context > Tokens > Thinking; NEW: Finally allows specifying individual start and end instruct tags instead of combining them. Hmm, now I changed CuBLAS to OpenBLAS and cannot see wrong responses right away, but… The model looks kinda dumb on longer run. KoboldCpp 是一款易于使用的 AI 文本生成软件，适用于 GGML 和 GGUF 模型，灵感来源于原始的 KoboldAI。它是由 Concedo 提供的单个自包含的可分发版本，基于 llama. I wouldn't be surprised if it was a quicker/smoother experience with some of the other options kobold With Mixtral 8x7B if you have to adjust your prompt or point it in the right direction you are waiting a looong time to reprocess the context. cpp build and adds flexible KoboldAI API endpoints, additional format support, Stable Diffusion image generation, speech-to-text, backward compatibility, and a What is Smart Context? Smart Context is enabled via the command --smartcontext. Either open it in the browser, to use Kobold's own UI, or put it into SillyTavern as API URL. cpp 内のModelFiles ページの Model にOcuteus-v1-q8_0. I am looking forward to working with you on this project. Consider launching with increased --contextsize to avoid errors. However, modern software like Koboldcpp has built in scaling support that can upscale the context size of the models to the setting you set the slider to. A. For GGUF Koboldcpp is the better experience even if you prefer using Sillytavern for its chat features. Consider a chatbot scenario and a long chat where old lines of dialogue need to be evicted from the context to stay within the (4096 token) context Dec 19, 2023 · Kobold. Lower quant sizes would be even quicker. Dec 5, 2023 · This is the default tokenizer used in Llama. Croco. Somebody told me llama. cpp with more context to work with. It could speed up the prompt processing for you perhaps. Honestly it's the best and simplest UI / backend out there right now. It also scales almost perfectly for inferencing on 2 GPUs. Nora wears utility pants and a matching light jacket over a greasy work shirt. Now we wait for Q4 cache. 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. koboldcpp-1. EvenSmarterContext) on. What version of kobold. cpp, it takes a short while (around 5 seconds for me) to reprocess the entire prompt (old koboldcpp) or ~2500 tokens (Ooba) at 4K context. best suited for people that regenerate the respond a lot) This is a follow-up to my previous posts here: New Model RP Comparison/Test (7 models tested) and Big Model Comparison/Test (13 models tested) Originally planned as a single test of 20+ models, I'm splitting it up in two segments to keep the post managable in size: First the smaller models (13B + 34B), then the bigger ones (70B + 180B). cpp/kobold. Mixtral-8x7B-Instruct-v0. Oct 5, 2023 · What is Smart Context? Smart Context is enabled via the command --smartcontext. Personally, I have a laptop with a 13th gen intel CPU. The llama. cpp One FAQ string confused me: "Kobold lost, Ooba won. 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 Kobold. I run Noromaid v0. На странице вы найдёте For questions and comments about the Plex Media Server. Recommended sampler values are [6,0,1,3,4,2,5]. There are 4 main concepts to be aware of: Chat History Preservation; Memory Injection Amount; Individual Memory Length; Injection Strategy Sign in. In terms of GPUs, that's either 4 24GB GPUs, or 2 A40/RTX 8000 / A6000, or 1 A100 plus a 24GB card, or one H100 (96GB) when that launches. pqbzv lqcku poip mmtutwt wjxwkny vwvp zthlqtt dtlpjx kdtdj woocnl