Oobabooga awq. You switched accounts on another tab or window.
- Oobabooga awq The preliminary result is that EXL2 4. When I load an AWQ The gptq ones using the EXlama2 wrapper worked great, I was just excited to try AWQ and see if it was better. Thanks! Sep 1, 2023 · I have created AutoAWQ as a package to more easily quantize and run inference for AWQ models. Anyone else got a similar experience? Or some things I could try? Models were from thebloke. auto import AutoAWQForCausalLM Apr 13, 2024 · Gradio web UI for Large Language Models. Reload to refresh your session. 13 on Using TheBloke/Yarn-Mistral-7B-128k-AWQ as the tut says, I get one decent answer, then every single answer after that is line one to two words only. 1 - AWQ Model creator: oobabooga; Original model: CodeBooga 34B v0. Describe the bug Cannot load AWQ or GPTQ models, GUF model and non-quantized models work ok From a fresh install I've installed AWQ and GPTQ with the "pip install autoawq" (auto-gptq) command but it still tells me they need to be install Nov 9, 2023 · For me AWQ models work fine for the first few generations, but then gradually get shorter and less relevant to the prompt until finally devolving into gibberish. EXL2 is designed for exllamav2, GGUF is made for llama. Dec 31, 2023 · Same problem when loading TheBloke_deepseek-llm-67b-chat-AWQ. 1; Description This repo contains AWQ model files for oobabooga's CodeBooga 34B v0. Running on a 4090. The models have lower perplexity and smaller sizes on disk than their GPTQ counterparts (with the same group size), but their VRAM usages are a lot higher. I wish to have AutoAWQ integrated into text-generation-webui to make it easier for people to use AWQ quantized models. CodeBooga 34B v0. Hey folks. ExLlama has a limitation on supporting only 4bpw, but it's rare to see AWQ in 3 or 8bpw quants anyway. - ExiaHan/oobabooga-text-generation-webui These days the best models are EXL2, GGUF and AWQ formats. By default, the OobaBooga Text Gen WebUI comes without any LLM models. by clicking continue. I've not been successful getting the AutoAWQ loader in Oobabooga to load AWQ models on multiple GPUs (or use GPU, CPU+RAM). Jan 14, 2024 · The OobaBooga WebUI supports lots of different model loaders. MXLewd-L2-20B-AWQ Mythalion-13B-AWQ Noromaid-13B-v0. 06032 and uses about 73gb of vram, this vram quantity is an estimate from my notes, not as precise as the measurements Oobabooga has in their document. Exllama and llama. 125b seems to outperform GPTQ-4bit-128g while using less VRAM in both cases. Llama. py", line 2, in from awq. cpp models are usually the fastest. Loads: GPTQ models. Exllama is GPU only. GPTQ is now considered an outdated format. During the insta r/Oobabooga: Official subreddit for oobabooga/text-generation-webui, a Gradio web UI for Large Language Models. true. Oobabooga's text-generation-webui from awq import AutoAWQForCausalLM File "D:\AI\UI\installer_files\env\lib\site-packages\awq_ init _. Dec 22, 2023 · You signed in with another tab or window. Jan 18, 2024 · Describe the bug When I load a model I get this error: ModuleNotFoundError: No module named 'awq' I haven't yet tried to load other models as I have a very slow internet, but once I download others I will post an update. wbits: For ancient models without proper metadata, sets the model precision in bits manually. Describe the bug I downloaded two AWQ files from TheBloke site, but neither of them load, I get this error: Traceback (most recent call last): File "I:\oobabooga_windows\text-generation-webui\modules\ui_model_menu. The only strong argument I've seen for AWQ is that it is supported in vLLM which can do batched queries (running multiple conversations at the same time for different clients). 4b seems to outperform GPTQ-4bit-32g while EXL2 4. Is it supported? I read the associated GitHub issue and there is mention of multi GPU support but I'm guessing that's a reference to AutoAWQ and not necessarily its integration with Oobabooga. I get the second, third word etc. I have released a few AWQ quantized models here with complete instructions on how to run them on any GPU. Compared to GPTQ, it offers faster Transformers-based inference. bat, cmd_macos. Per Chat-GPT: Here are the steps to manually install a Python package from a file: Download the Package: Go to the URL provided, which leads to a specific version of a package on PyPI. sh, or cmd_wsl. You signed out in another tab or window. sh Install autoawq into the venv pip install autoawq Exit the venv and run the webui again AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. . py", line 201, in load_ The perplexity score (using oobabooga's methodology) is 3. Time to download some AWQ models. bat. cpp, and AWQ is for auto gptq. groupsize: For ancient models without proper metadata, sets the model group size manually. I created all these EXL2 quants to compare them to GPTQ and AWQ. There are most likely two reasons for that, first one being that the model choice is largely dependent on the user’s hardware capabilities and preferences, the second – to minimize the overall WebUI download size. It is also now supported by continuous batching server vLLM, allowing use of AWQ models for high-throughput concurrent inference in multi-user server Jul 5, 2023 · AWQ outperforms GPTQ on accuracy and is faster at inference - as it is reorder-free and the paper authors have released efficient INT4-FP16 GEMM CUDA kernels. Can usually be ignored. I'll share the VRAM usage of AWQ vs GPTQ vs non-quantized. I just got the latest git pull running. This is even just clearing the prompt completely and starting from the beginning, or re-generating previous responses over and over. models. 1. Tried using TheBloke/LLaMA2-13B-Tiefighter-AWQ as well, and those answers are a single word of gibberish. If you ever need to install something manually in the installer_files environment, you can launch an interactive shell using the cmd script: cmd_linux. Supports transformers, GPTQ, AWQ, EXL2, llama. Possible reason - AWQ requires a GPU, but I don’t have one. sh, cmd_windows. If you don't care about batching don't bother with AWQ. Edit I've reproduced Oobabooga's work using a target of 8bit for EXL2 quantization of Llama2_13B, I think it ended up being 8. cpp is CPU, GPU, or mixed, so it offers the greatest flexibility. cpp (GGUF), Llama models. It works with a wide range of models and runs fast when you use a good CPU+GPU combination: Oct 10, 2023 · My problem now with a newly updated text-generation-webui is that AWQ-models run well on the first generation, but they only generate one word from the second generation. 23 votes, 12 comments. Feb 2, 2024 · Describe the bug why AWQ is slow er and consumes more Vram than GPTQ tell me ?!? Is there an existing issue for this? I have searched the existing issues Reproduction why AWQ is slow er and consume Sep 27, 2023 · Hi, Thanks to the great work of the authors of AWQ, maintainers at TGI, and the open-source community, AWQ is now supported in TGI (link). 1-AWQ Mar 6, 2024 · Enter the venv, in my case linux:. You switched accounts on another tab or window. About AWQ AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. awq The basic question is "Is it better than GPTQ?". Sep 30, 2023 · AWQ quantized models are faster than GPTQ quantized. Please consider it. AWQ does indeed require GPU, if you do not have it, it will not work. The script uses Miniconda to set up a Conda environment in the installer_files folder. @TheBloke has released many AWQ-quantized models on HuggingFace all of these can be run using TGI . /cmd_linux. A Gradio web UI for Large Language Models. I know that gpu layers are used for AWQ models but do they do anything for GUF models? should i use layers for them? n_ctx is the ai memory, basically the higher it is the more the ai will remember past conversations right? The script uses Miniconda to set up a Conda environment in the installer_files folder. rhc kxrh kmgd ppfgm arytgf wqjppx qrqxmym vdxg guakm nlncviw