Exllama hf reddit github. Read the Dependency Dashboard docs to learn more.
Exllama hf reddit github Really, I just wanted to get something up to share with people on Reddit who are even newer than I am, so they can just get something working quickly. json doesn't fix the HF one (though I may rollback to when non-HF was in and try with that) I wonder if what this really means is that the HF loader should recognize the overlap in tokenizer_config. py and change the 21th line from : from model import ExLlama, ExLlamaCache, ExLlamaConfig to : from exllama. ExLlama supports 4bpw GPTQ models, exllamav2 adds support for exl2 which can be quantised to fractional bits per weight. But it remains to be seen what tuning could do to remedy that. cpp, ExLlama, AutoGPTQ, GPTQ-for-LLaMa, ctransformers Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction templates for chat mode, including Llama-2-chat, Jun 20, 2023 · Just looking over the code it seems to use many of the same tricks as ExLlama. There’s an excellent guide on the Exllamav2 GitHub: With the fused attention it is fast like exllama, but without it is slow AF. Put this somewhere inside the Jun 19, 2023 · That's very strange. From a quick glance at the github, tau reperesent the average surprise value (i. The whole local AI scene moves so fast and can get so confusing. Dec 26, 2023 · # # Exllama_HF 15:53:22-793077 INFO Loading OrcaMaid-v2-FIX-13B-32k-GPTQ 15:53:33-940988 INFO LOADER: Sign up for free to join this conversation on GitHub. ) So I believe the tech could be extended to support any transformer based models and to quantized models without a lot of effort. While attempting to work with exllama_hf, I discovered that passing num_beams > 1 during inference when using exllama_hf results in an exception (see below). LocalAI has recently been updated with an example that integrates a self-hosted version of OpenAI's API with a Copilot alternative called Continue. Multiple model backends: Transformers, llama. It's already kind of unwieldy. Any reference for how much VRAM each bit version takes? I've made some changes to the GPTQ kernel to increase precision. - turboderp/exllama Skip to content Navigation Menu Nov 12, 2023 · I've got a 4070 (non ti) but its 12GB VRAM too and 32GB system RAM. If I built out ExLlama every time someone had an interesting idea on reddit it'd be an unmaintainable behemoth by now. If you pair this with the latest WizardCoder models, which have a fairly better performance than the standard Salesforce Codegen2 and Codegen2. It would be about as involved as using a GGML model in Transformers, because there's very little of the original HF structure left. Also be careful about drawing conclusions from one model size. Enjoy! Reply reply View community ranking In the Top 5% of largest communities on Reddit. So I switched the loader to ExLlama_HF and I was able to successfully load the model. For me, these were the parameters that worked with 24GB VRAM: Well, there is definitely some loss going from 5 bits (or 5. Has anyone else run into this, or am I doing something wrong? Is there an existing issue for this? I have May 23, 2023 · Hi! I got this to work with TheBloke/WizardLM-30B-Uncensored-GPTQ. If you intend to perform inference only on CPU, your options would be limited to a few libraries that support the ggml format, such as llama. HuggingFace space with ExllamaV2. (Directly on exllama, this is -d 'model_path' -l 16384 -cpe 8) (On ooba, you can set them on the UI) I really don't suggest GPTQ for llama for this, mostly because higher VRAM usage, and with group size + act order at the same time, it will kill the performance. I'd be very curious about the tokens/sec you're getting with exllama or exllama_hf loaders for typical Q/A (small) and long-form chat (large) contexts (say, 200-300 tokens and 1800-2000 So the CPU bottleneck is removed, and all HF loaders are now faster, including ExLlama_HF and ExLlamav2_HF. Already have an account? Sign in to comment. Generally speaking I mostly use GPTQ 13B models that are quantized to 4Bit with a group size of 32G (they are much better than the 128G for the quality of the replies etc). turboderp/exllama#118 This hasn't been vetted/merged yet but in practice, it seems to unlock the context of un-finetuned models based on the scaling alpha value and does it with minimal perplexity loss. That allows me to run text generation and Automatic1111 at the same time using one single graphic card. A fast inference library for running LLMs locally on modern consumer-class GPUs - turboderp/exllamav2 A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. I couldn't load it for my AMD 5800X3D + TUF4090 with default setting (Transformer or GPTQ). But upon sending a message it gets CUDA out of memory again. It is also possible to run the 13B model using llama. Should work with exllama_hf too. the original Stanford Alpaca paper trained adapters for the K and V projections, but QLoRA I think defaults to all linear layers, and uses its own 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. Dropdown menu for quickly switching between different models. Curate this topic Add May 29, 2023 · Opening a new thread to continue conversation re: API as I think having a thread for discussion about this will be valuable as the project continues to scale Continuation from: #12 May 22, 2023 · It doesn't automatically use multiple GPUs yet, but there is support for it. turboderp's After that, load them using the "ExLlama_HF" loader. Jul 26, 2023 · This is due to SentencePiece not wanting to encode control symbols as part of the input. Topics SD Next & Forge extension to let the AI make prompts for SD using Oobabooga TGWui or Ollama characters work on exllama with superHOT and ofcourse IF_PromptMKR --model-menu --model IF_PromptMKR_GPTQ --loader exllama_hf --chat --no-stream --extension superbooga api Jun 26, 2023 · 1. They are equivalent to llama. cpp (through llama-cpp-python), ExLlama, ExLlamaV2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, CTransformers, QuIP#. - turboderp/exllama Jul 16, 2023 · I did read what you wrote, I just don't understand what to do with it. Not just one monkey patch. I did a quant of a 30B model into 8bit instead of 4bit, but when trying to load the model into exllama, I get 2023-06-20 14:35:52 INFO:Loading Monero_WizardLM-Uncensored-SuperCOT-StoryTelling-30b-8 Jul 17, 2023 · For exllama/exllama_HF, you have to set embedding compression to 8 and max context to 16384. You switched accounts on another tab or window. AWQ is slightly faster than exllama (for me) and supporting multiple requests at once is a plus. While they track pretty well with perplexity, there's of course still more to the story, like potential stability issues with lower bitrates that might not manifest until you really push the model out of its As for the "usual" Python/HF setup, ExLlama is kind of an attempt to get away from Hugging Face. The cache doesn't require lots of memory due to tensor copies. Here's the wikitext-test split as a Parquet file, for instance. Seeing as I found EXL2 to be really fantastic (13b 6-bit or even 8-bit at blazing fast speeds on a 3090 with Exllama2) I wonder if AWQ is better, or just easier to quantize. I'm not even sure what would work - probably transformers? It's probably also worse than a Llama-based one, at least I've never heard of it. Even after the arena that ooba did, the most used settings are already being used on exllama itself (top p, top k, typical and rep penalty). I would dare to say, is one of the biggest jumps on the LLM scene recently. - fkatada/hf-FastChat Jul 9, 2023 · Describe the bug. 18 and there is no difference. Provided you have the resources to run one, try a 7B one from here: Contribute to pabl-o-ce/hf-exllama development by creating an account on GitHub. HF AutoTokenizer jumps through a lot of hoops to encode those symbols separately, transparently using SentencePiece in a way it wasn't "meant" to be used. Ok. A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. Automate any workflow Packages. Contribute to pabl-o-ce/hf-exllama development by creating an account on GitHub. As openai API gets pretty expensive with all the inference tricks needed, I'm looking for a good local alternative for most of inference, saving gpt4 just for polishing final results. These perplexity results can't be compared with any other perplexity results, we can only look at them relative to your other results there. Write better code with AI Security. Additional notes: num_beams > 1 works with --loader exllama; num_beams > 1 breaks with --loader exllama_hf; no_repeat_ngram_size works with --loader exllama_hf; You signed in with another tab or window. I have a captain doing a "debriefing" right now in the story. Update 03/26/2024: This post is quite outdated right now. Does anyone know how to get it to work with Tavern or Kobold or ExLlama_HF uses the logits from ExLlama but replaces ExLlama's sampler with the same HF pipeline used by other implementations, so that sampling parameters are interpreted the same and more samplers are There's an update now that enables the fused kernels for 4x models as well, but it isn't in the 0. 28. LLaMA is a large language model trained by Meta AI that surpasses GPT-3 in terms of accuracy and efficiency while being 10 times smaller. Note the comments about making sure you're doing an apples-to-apples comparison by ensuring that the GPTQ and EXL2 model are converted from the same source model and calibrated with the same dataset. I tried it myself last week with an old board and 2 gpu but an old gtx1660 + Nvidia tesla m40 was too much for the board. py script, it did convert the lora into GGML format, but when I tried to run a GGML model with this lora, lamacpp just segfaulted. Jul 14, 2023 · ExLlama gets around the problem by reordering rows at load-time and discarding the group index. 0 will default to config. E. cpp, ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers, AutoAWQ Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. ; OpenAI-compatible API with Chat and Completions endpoints – see examples. I'm aware that there are GGML versions of those models, but the inference speed is painfully slow compared to Aug 10, 2023 · Even with that, ExLlama still won't tokenize added tokens (beyond the 32000 in the standard Llama vocabulary), and as far as I know even HF doesn't do it correctly so it's not a simple matter at all. GPTQ models no longer being affected by ExLlama/HF. . ExLLaMA is a loader specifically for the GPTQ format, which operates on GPU. To disable this, set RUN_UID=0 in the . You can offload inactive users' caches to system memory (i. Since then, I've managed to write training code for pipeline parallel Llama with QLORA, more memory efficient trainers (to the point I don't need QLORA anymore), streaming trainers and so on. Jun 14, 2024 · Loader: Loads models from the llm directory. max_seq_len: Max context, higher value equals higher VRAM usage. To sum up: The HF tokenizer encodes the sequence Hello, to [1, 15043, 29892], which then decodes to either <s>Hello, or <s> Hello,, apparently at random. e. And many of these are 13B models that should work well with lower VRAM count GPUs! I recommend trying to load with Exllama (HF if possible). The CUDA kernels look very similar in places, but that's to be expected since there are some obvious places it's just silly not to fuse operations together. cpp (through llama-cpp-python), ExLlama, ExLlamaV2, AutoGPTQ, AutoAWQ, GPTQ-for-LLaMa, CTransformers, QuIP# Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new An open platform for training, serving, and evaluating large language models. Also the memory use isn't good. Sign in Product GitHub Copilot. They may not apply to smaller Sep 21, 2023 · You signed in with another tab or window. But tensor cores won't help you when generating tokens one at a time. But when it does answer right, it is very coherent. Which, I'd love faster, but it's usable for my needs. wouldn't the natural thing be to make it pip installable so that it can power apps? I want to build a framework on top of a fast loader and need the absolute best performance on a 4090 24gb re: it/s. 4 bits. cpp , koboldcpp , and C Transformers I guess. cpp (through llama-cpp-python), ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers, AutoAWQ Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; You signed in with another tab or window. The m40 doesn't seem to be able to do much (too old) apart from stable diffusion, which is why i'm now looking for a better combination. Oct 14, 2023 · Ohh, i see but i use the quantized version of that model (4bit). While all the other model_loaders other than Auto_GPTQ errored out immediately (but there was Sep 12, 2023 · Hello, I noticed the quality of the output decreased with exllama2 so I took a look at the logits, it's the same model, same quant, same samplers, same prompt, same seed Maybe it's a bug on ooba's webui I don't know That's amazing what can do the latest version of text-generation-webui using the new loader Exllama-HF! I can load a 33B model into 16,95GB of VRAM! 21,112GB of VRAM with AutoGPTQ!20,07GB of VRAM with Exllama. 84 1:8 - ppl = 105. At any rate, generate_simple was supposed to be just that, a simple way of getting some output out of the generator, not an omni-tool for handling more advanced cases ExLlama and exllamav2 are inference engines. py at master · turboderp/exllama Feb 9, 2024 · GitHub is where people build software. In other words should I be able to get the same logits whether I use exllama for inference or another quantisation Nov 16, 2023 · Saved searches Use saved searches to filter your results more quickly Nov 15, 2023 · 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. In that thread, someone asked for tests of Also, this is not the most up to date way to run models. - Pull requests · turboderp/exllama Aug 13, 2024 · ExLlama nodes for ComfyUI. Then, select the llama-13b-4bit-128g model in the "Model" dropdown to load it. A few days ago, GPTQ models have stopped having a reduction in VRAM usage while using ExLlama. Jun 3, 2023 · I'm developing AI assistant for fiction writer. Here's the deterministic preset I'm using for test: A fast inference library for running LLMs locally on modern consumer-class GPUs - Releases · turboderp/exllamav2 If you only need to serve 10 of those 50 users at once, then yes, you can allocate entries in the batch to a queue of incoming requests. cpp or koboldcpp. It does not solve all the issues but I think it go forward because now I have : Dec 14, 2023 · 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: Transformers, llama. Load Mar 6, 2023 · TL;DR: GPT model by meta that surpasses GPT-3, released to selected researchers but leaked to the public. I recently switched from exllama to exllama_hf because there's a bug that prevents the stopping_strings param from working via the API, and there's a branch on text-generation-webui that supports stopping_strings if you use exllama. - exllama/example_basic. ) Can you describe how you experience the difference? A post about exllama_hf would be interesting. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. ExLlama relies on controlling the datatype and stride of the hidden state throughout the forward pass, for instance. Works fine without extending context. I am not sure if it's an issue, but I assume that it Jun 15, 2023 · I don't need to know about the dataset, but there are a bunch of different approaches to training LoRAs, lots of repos that use slightly different methods, adapting different layers etc. We also have to trust that it actually does correlate exactly with the normal wikitext perplexity approach, without any evidence. 4 tokens/s speed on A100, according to my understanding at least should Twice the Oct 31, 2023 · 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. Nov 5, 2024 · Contribute to pabl-o-ce/hf-exllama development by creating an account on GitHub. It reads HF models but doesn't rely on the framework. Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. It will then load in layers up to the specified limit per device, though keep in mind this feature was added literally yesterday and HuggingFace space with ExllamaV2. TensorRT-LLM, AutoGPTQ, AutoAWQ, HQQ, and AQLM are also supported but you need to install them manually. Paper Abstract: We introduce LLaMA, a collection of founda- tion language models ranging from 7B Sep 14, 2023 · I would refer to the github issue where I've addressed this. But it was a while ago, probably that has been fixed already. : cache_bits: Lower value equals lower VRAM usage but also impacts generation speed and quality. json and replace the tokens, rather than appending, as you said that seems like it's exactly the problem. cpp, ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers, AutoAWQ Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction 3 interface modes: default (two columns), notebook, and chat. run in terminal in your 'text-generation-webui' directory (but don't forget to activate your venv first): Supports multiple text generation backends in one UI/API, including Transformers, llama. Sign up for free to join this conversation on GitHub. 0. 42 1:4 - ppl = 15. Am also using torch 2. Aug 1, 2023 · Last time I've tried it, using their convert-lora-to-ggml. Find and fix vulnerabilities Actions. upvotes /r/StableDiffusion is back open after the protest of Reddit killing open 8000 ctx vs 2000 ctx is a way higher jump vs exllama_hf/exllama. dev. For that, download the q4_K_M file manually (it's a single file), put it into text-generation-webui/models, and load it with the "llama. 5 or whatever Q5 equates to) down to 2. 1:1 - ppl = 6. Jun 22, 2023 · I commented on the reddit thread as well, and it does implement perplexity quite a bit. 8K subscribers in the Oobabooga community. Navigation Menu Toggle navigation. So, I notice u/TheBloke, pillar of this community that he is, has been quantizing AWQ and skipping EXL2 entirely, while still producing GPTQs for some reason. Find and fix vulnerabilities Codespaces. cpp, ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction templates for chat mode, including Apr 20, 2024 · It also doesn't 100% generate from the UI either. Add a description, image, and links to the exllama topic page so that developers can more easily learn about it. Jan 25, 2024 · putting it in added_tokens. Both GPTQ and exl2 are GPU only formats meaning inference cannot be split with the CPU and the model must fit entirely in VRAM. py at master · turboderp/exllama Jun 28, 2023 · Using text-gen webui with Exllama loader gives me different results than with Exllama_HF. Jun 27, 2023 · Thanks to our most esteemed model trainer, Mr TheBloke, we now have versions of Manticore, Nous Hermes (!!), WizardLM and so on, all with SuperHOT 8k context LoRA. The unique thing about vLLM is that it uses KV cache and sets the cache size to take up all your remaining VRAM. Some posts allege it's faster than GPTQ, A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. Jun 6, 2023 · I was just reading another post someone was saying his 7950X was getting better speed on 60B models that any Intel chip. Get the Reddit app Scan this QR code to download the app now. You may have to reduce max_seq_len if you run out of memory while trying to generate text. So my sci-fi ish story is over 16K. log of perplexity) and I can confirm that it works in exllama_hf (as described in this In the Model tab, select "ExLlama_HF" under "Model loader", set max_seq_len to 8192, and set compress_pos_emb to 4. Automate any workflow Codespaces Jul 23, 2023 · Describe the bug Hello, I think the fixed seed isn't really stable, when I regenerate with exactly the same settings, it can happen I get differents outputs, which is weird. This can be done either by editing /workspace/run-text-generation-webui. Jul 7, 2023 · I guess you updated text generation webui repository so requirements changed too (for example, exllama got new changes), try to update them. Get any SuperHOT 8k merged model. Reload to refresh your session. env file if using docker compose, or the Jun 20, 2023 · Hi, I know that quantisation will introduced some performance regressions. ; Automatic prompt formatting using Jinja2 templates. Not really sure what has happened. (I'm still in GPTQ-land w/ TGWUI & exllama/exllama_hf from about a month or two ago. model import ExLlama, ExLlamaCache, ExLlamaConfig. I've HuggingFace space with ExllamaV2. - exllama/example_chatbot. So I had to remove the gtx gpu. This issue caused some people to opportunistically claim that the webui is ExLlama uses way less memory and is much faster than AutoGPTQ or GPTQ-for-Llama, running on a 3090 at least. It requires lots of memory because it's a big list of tensors. 30B less than 10. I've been doing more tests, and here are some MMLU scores to compare. Curate this topic Add Jun 29, 2023 · Then I tried to load TheBloke_guanaco-13B-GPTQ and unfortunately got CUDA out of memory. md at master · turboderp/exllamav2 Thank you for your quick response. Topics Trending Collections Enterprise Enterprise ExLlama is still roughly shaped like the HF LlamaModel, and while a bunch of operations do get combined like this, there's still quite a Sep 19, 2023 · Saved searches Use saved searches to filter your results more quickly Jun 30, 2023 · Describe the bug As the title says, I cannot get stopping strings to work when running exllama or exllama_hf using the extended context flags as well as using the API. py at master · turboderp/exllama HuggingFace space with ExllamaV2. sh, or by passing the UI_ARGS environment variable via Template Overrides. For the benchmark and chatbot scripts, you can use the -gs or --gpu_split argument with a list of VRAM allocations per GPU. Read the Dependency Dashboard docs to learn more. NOTE: by default, the service inside the docker container is run by a non-root user. Nov 5, 2024 · HuggingFace space with ExllamaV2. so after I use sillytavern and it crashes once, it also begins to crash in the webui the same way. 5, you have a pretty solid alternative to GitHub Copilot that runs ExLlama2_HF is pretty excellent with using as little memory as possible (I think over AutoGPTQ youre getting around a 5-15% lowered memory use on VRAM). Category Jun 20, 2023 · The main idea is better VRAM management in terms of paging and page reusing (for handling requests with the same prompt prefix in parallel. You just have to set the allocation manually. Contribute to Zuellni/ComfyUI-ExLlama-Nodes development by creating an account on GitHub. It's definitely powerful for a production system (especially those designed to handle Sep 12, 2023 · Updated thoughts - I dug out my old RTX 2080 Ti (11 GB VRAM) and installed it. 169K subscribers in the LocalLLaMA community. 22 tokens/s speed on A10, but only 51. The 32 refers to my A6000 (the first GPU ID set in the environment variable CUDA_VISIBLE_DEVICES), so I don't pre-load it to its max 48GB. However I was able to load it in ExLlama HF, and it runs seamlessly. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. And very frequently amazing! There's not much in between. If you want to use ExLlama permanently, for all models, you can add the --loader exllama parameter to text-generation-webui. Large number of extensions (built-in and user-contributed), Jul 25, 2023 · Describe the bug. I don't know if manually splitting the GPUs is needed. Hence, the ownership of bind-mounted directories (/data/model and /data/exllama_sessions in the default docker-compose. - turboderp/exllama You can find them for many (most?) datasets on HF, with a little "auto-converted to Parquet" link in the upper right corner of the dataset viewer. py at master · turboderp/exllama Aug 24, 2023 · 6. Automate any workflow Codespaces Jul 6, 2023 · Describe the bug When running exllama w/ llama-65b, it seems that the no_repeat_ngram_size parameter is ignored when using the API. Instant dev environments GitHub Copilot Oct 24, 2023 · By clicking “Sign up for GitHub”, line 309, in generate_reply_HF question, input_ids, inputs_embeds = apply_extensions(' tokenizer ', state, question, input_ids, None) @EugeoSynthesisThirtyTwo You need to for specifiy autogptq and disable exllama for Saved searches Use saved searches to filter your results more quickly A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. 5 tokens / second by splitting the model up across them. But it seems like running both the OS screen and a 70B model on one 24GB card can only be done by trimming the context so short it's not Jul 10, 2023 · Very good work, but I have a question about the inference speed of different machines, I got 43. Automate any workflow Codespaces Nov 6, 2023 · 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. md at master · turboderp/exllama A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. cpp, and ExLlamaV2. They're in the test branch for now, since I need to confirm that they don't break anything (on ROCm in The official and recommended backend server for ExLlamaV2 is TabbyAPI, which provides an OpenAI-compatible API for local or remote inference, with extended features like HF model A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. However lora works with transformers but slow af we really need exllama for this. cpp, ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers, AutoAWQ Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction NOTE: by default, the service inside the docker container is run by a non-root user. g. just curious, is there a secret to the mixtral instruct clip you posted on X? i copied the code you had for generating and downloaded turboderp/Mixtral-8x7B-exl2 --revision 3. I think a lot of this will just be mainstream soon, there's a lot of development activity. Even the logits of the two loaders produce completely different Jun 27, 2023 · The only seems to happen only on exllama_hf, since on exllama itself, it works without issues. For those who are not aware of this feature, it allows the LLM loaders to use a smaller "draft" model to help predict tokens for a larger model. Off the top of my head a 13B 4bit model loads into VRAM (3090) from a WD Black NVMe in less than 4 seconds. Host and manage packages Security. Skip to content. Assignees No one assigned Labels bug Something isn't working stale. yml file) is changed to Dec 2, 2023 · 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. Dismiss alert 3- Open exllama_hf. Is there an existing issue for this? I have Sep 29, 2023 · I have switched from oobabooga to vLLM. Sign in Product Actions. yml file) is changed to this non-root user in the container entrypoint (entrypoint. Minor thing, but worth noting. 122 votes, 79 comments. Here's what worked: This doesn't work on windows, but it does work on WSL Download the model (and all files) from HF and place it somewhere. 3K subscribers in the AITechTips community. 2OP: exllama supports loras, so another option is to convert the base model you used for fine-tuning into GPTQ format, and Jun 17, 2023 · Basically, no, there's no easy way to do that. Jun 18, 2023 · stopping-strings-for-HF branch only for exllama_HF and stopping-strings branch only for exllama They are not implemented in the same way, so I mention two PRs in two branches. I was using git exllama but downgraded to . - Releases · turboderp/exllama A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. It seems like it's mostly between 4-bit-ish quantizations but it doesn't actually say that. Aug 3, 2023 · I really doubt that model works with the Exllama HF loader. Jul 10, 2023 · GitHub community articles Repositories. neither does it help to do chat completions. It did not crash immediately but takes like ~10seconds. while they're still reading the last reply or typing), and you can also use dynamic batching to make better use of VRAM, since not all users will need the full context all the time. Jul 10, 2023 · Unless i'm just clueless, exllama is the most efficient model loader out there both in terms of performance and vram. cpp" loader: Eval mmlu result against various infer methods (HF_Causal, VLLM, AutoGPTQ, AutoGPTQ-exllama) Discussion I modified declare-lab's instruct-eval scripts, add support to VLLM, AutoGPTQ (and new autoGPTQ support exllama now), and test the mmlu result. 3B, 7B, and 13B models have been unthoroughly tested, but going by early results, each step up in parameter size is notably more resistant to quantization loss than the last, and 3-bit 13B already looks like it could be a It sometimes goes of on a random tangent, and when it does its random. I'm able to consistently get about 1. A community to share tips, resources and articles pertaining to AI Jul 27, 2023 · To partially answer my own question, the modified GPTQ that turboderp's working on for ExLlama v2 is looking really promising even down to 3 bits. - exllama/model_init. sh). For the moment, I recommend you to use exllama which has better performance HuggingFace space with ExllamaV2. The matrix multiplications that happen during inference are all of the shape: [seq_len, hidden_dim] @ [hidden_dim, x] Jun 18, 2023 · Kobold's exllama = random seizures/outbursts, as mentioned; native exllama samplers = weird repetitiveness (even with sustain == -1), issues parsing special tokens in prompt; ooba's exllama HF adapter = perfect; The forward pass might be perfectly fine after all. 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. On a git console, or powershell (or bash on linux) on the textgen folder, git fetch origin pull/2955/head:ntkropepr git checkout ntkropepr Then, if ooba merges it, or you want to revert, you just can do: git checkout main ExLlama gets around the problem by reordering rows at load-time and discarding the group index. But in those cases where it decodes to the second version, the model treats the same three tokens differently for some reason. In a single-response introduction in the debriefing room, it accurately summarized like 8K of story, and Jul 22, 2023 · Describe the bug Using the model TheBloke/FreeWilly2-GPTQ:gptq-3bit--1g-actorder_True and loader ExLlama_HF, Sign up for a free GitHub account to open an issue and contact its maintainers and the Contribute to andysalerno/guider development by creating an account on GitHub. Subreddit to discuss about Llama, the large language model created by Meta AI. Dismiss alert Jul 28, 2023 · GitHub is where people build software. I was thinking it was the multicore performance that was more important than single thread performance. 2. Oct 12, 2023 · Describe the bug Literally doesnt work i tried both exllama and exllamav2 with _HF ones as well. I have to think there's something else that's different about the Nov 5, 2024 · This issue lists Renovate updates and detected dependencies. 31 1:2 - ppl = 7. As far as I know, this will not support exllama, exllama_HF, or the new superHOT 8k models, until Occ4m adds support to this fork. 11 release, so for now you'll have to build from source to get full speed for those. I've been meaning to write more documentation and maybe even a tutorial, but in the meantime there are those examples, the project itself, and a lot of other projects using it. Open These updates have all been created already. Jun 12, 2023 · GitHub community articles Repositories. cpp, ExLlama, ExLlamaV2, AutoGPTQ, GPTQ-for-LLaMa, CTransformers, AutoAWQ Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction Jul 17, 2023 · If I didn't misunderstand you and this thread is really just about the initial loading-time of the model from permanent into volatile memory, then I would guess the limiting factor is likely whatever storage the model is read from. Or check it out in the app stores so if you used those on exllama_hf/exllamav2_hf on ooba, these loaders are not needed anymore. We discussed speculative decoding (SD) in the previous thread here. You signed out in another tab or window. Using SillyTavern Jun 20, 2023 · Hi there, thanks for the all hard work. github. exlla A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights. AutoGPTQ and GPTQ-for-LLaMA don't have this optimization (yet) so you end up paying a big performance penalty when using both act-order and group size. Topics SD Next & Forge extension to let the AI make prompts for SD using Oobabooga TGWui or Ollama characters work on exllama with superHOT and ofcourse IF_PromptMKR --model-menu --model IF_PromptMKR_GPTQ --loader exllama_hf --chat --no-stream --extension superbooga api Dec 16, 2023 · To optionally save ExLlama as the loader for this model, click Save Settings. cpp, ExLlama, AutoGPTQ, GPTQ-for-LLaMa, ctransformers Dropdown menu for quickly switching between different models; LoRA: load and unload LoRAs on the fly, train a new LoRA using QLoRA; Precise instruction templates for chat mode, including Llama-2-chat, Jun 9, 2023 · GitHub community articles Repositories. Is there an existing issue for this? I have searched the existing issues; Reproduction. Sep 1, 2023 · Hi! Recently, I've had an issue with batch inference and filled n a bug that has been resolved: #253 The solution is: model = exllama_set_max_input_length(model, 4096) but when I load a model from the Hugging Face and try to change the i A fast inference library for running LLMs locally on modern consumer-class GPUs - exllamav2/README. Click a checkbox below to force a re Jun 2, 2023 · The implementation already uses tensor cores implicitly where it makes sense. 👍 2 Panchovix and alkeryn reacted with thumbs up emoji This seems super weird, I'm not sure what he's trying to do just comparing perplexity and not accounting for file size, performance, etc. Release repo for Vicuna and Chatbot Arena. Copying in-place actually saves a large amount of memory and bandwidth compared to the HF approach which concatenates the cache for every generated token, a much more expensive operation which also tends to cause memory fragmentation. 0bpw --local-dir-use-symlinks False --local-dir my_model_dir assuming to get similar behavior but it performs vastly different for me. : Generator: Generates text based on the given prompt. Specifically, Exllama_HF gives gibberish with SuperHOT 8K models past 2048 tokens. Projects None yet Nov 7, 2023 · 3 interface modes: default (two columns), notebook, and chat; Multiple model backends: transformers, llama. - exllama/model. But does exllama introduce any additional performance regressions? Or in theory should it preserve the same performance as any other inference of those quantised weights?. - exllama/doc/TODO. Dismiss alert HuggingFace space with ExllamaV2. Nov 15, 2023 · Describe the bug I can run 20B and 30B GPTQ model with ExLlama_HF alpha_value = 1 compress_pos_emb = 1 max_seq_len = 4096 20B Vram 4,4,8,8 result 9-14 token per sec 30B Vram 2,2,8,8 result 4-6 token per @turboderp so looks like i got it all working. cpp by sending part of the layers to the GPU. ciua havzu ijtcnjsb ayay wlhohis ebakj fyf ackjjw ecf htcwjlfpa