Alpaca 13b 4bit hf You can run 65B models on consumer hardware already. Home; Archive; About Me; 26 Mar 2023 llama alpaca Alpaca Finetuning of Llama on a 24G Consumer GPU by John Robinson @johnrobinsn. About GGUF GGUF is a new format introduced by the llama. The 30B version uses the GPT-4-LLM dataset from Microsoft Research as seen in their paper Instruction Tuning with GPT4. pt file to "4bit. cpp team on August 21st 2023. Closed AngainorDev opened this issue Apr 4, 2023 · 16 comments Closed New Alpaca 13b LoRA, newest more precise training. /main -ngl 32 -m claude2-alpaca The table below provides the speedup results achieved by using the speculative sampling strategy with Chinese-LLaMA-2-1. py --model llama-13b-hf --load-in-8bit --listen-port urlquery is a service for scanning, identifying and categorizing potentially harmful elements on a webpage, checking for malware infections and assessing overall reputation. Edit: Just checked, works from this repo generate (and HF hosted lora) 14) python aiserver. #270. 12GB 3080Ti with 13B for examples. pt 15) load the specific model you set in 14 via KAI FYI: you always have to run the commandline. You signed in with another tab or window. py --notebook --wbits 4 --groupsize 128 --listen --model gpt-x-alpaca-13b-native-4bit-128g No modifications to any settings files or even a setting file whatsoever. 6 / 45. I am having many issues deploying LLM models on sagemaker. I found success when using this model instead. Example Inference Code (Note several embeddings need to be loaded along with the LoRA weights), assumes on GPU and torch. vicuna-13b-GPTQ-4bit-128g Which one do you want to load? 1-3 2 Loading gpt4-x-alpaca-13b-native-4bit-128g Loading Llama-2-13B-hf: 1. 1. Use the safetensors version of the model, the pt version is an old elinas/alpaca-13b-lora-int4 · How is it different than other 4bit quants? I was downloading the model from https://huggingface. Thanks to the chirper. Prompting. Currently running it with deepspeed because it was running out of VRAM mid way it is a llama trained on GTP4-outputs, heavily improving the output (it is claimed up to 90% of GTP-4 quality). Even better if you can include 7b, gpt4-x-alpaca 13b, and gpt4-x-alpaca 30b. py --llama4bit D:\koboldAI\4-bit\KoboldAI-4bit\models\llama-13b-hf\llama-13b-4bit. io/@ rename cuda model to gpt-x-alpaca-13b-native-4bit-128g-4bit. 2 / 38. In chat mode it gives a couple of normal answers until then starts spewing some random info (sometimes in polish or french, weirdly) That's because the name for 30B GPT4 x Alpaca is kind of a misnomer. Reload to refresh your session. Reply reply There's going to be more difference in fine tuning the model versus using LoRA. decapoda-research_llama-7b-hf 2. 3: Chinese-LLaMA-Plus-13B: 29. From the command line This is the HF format merged model for chansung's gpt4-alpaca-lora-13b. HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/claude2-alpaca-13B-GGUF claude2-alpaca-13b. Llama the large language model released by Meta AI just a month ago has been getting a lot of attention over the past few weeks despite having a research-only license. I'm sure a 4bit variant of this will come out in a few days (was a little less than a week for the prior iteration). cd alpaca_lora_4bit pip uninstall alpaca_lora_4bit pip uninstall alpaca_lora_4bit # uninstall again to ensure that you do not have another version pip install . Recording via OBS seems to slow the output a bit. In Tested on my home i9-10980XE using 18 cores @ 4. bat and execute the command from step 14 otherwise KAI loads the 8bit version of the selected model Depends on the model. CodeUp Llama 2 13B Chat HF - GPTQ Model creator: DeepSE; Original model: Prompt template: Alpaca Below is an instruction that describes a task. This is using the Stanford dataset like most other alpaca models on here and this "cleaned" dataset was released a week ago and only has claims. ai team! I've had a lot of people ask if they can contribute. float16: Sorry I have no experience of the monkey patch or fine tuning GPTQ models. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. They all have 4-bit ggml models available on hf. Wizard Vicuna 13B q8_0. . As of August 21st 2023, llama. You switched accounts on another tab or window. Collab File: GPT4. Things move so fast I can't wrap my head around what is even going on anymore. 5: Chinese-LLaMA-2-7B: 27. To download from another branch, add :branchname to the end of the download name, eg TheBloke/claude2-alpaca-13B-GPTQ:gptq-4bit-32g-actorder_True. Is it possible that AlpacaCielo 13b is on par with something like Guanaco 33b (llama1) or . Some have difficulty even with full 8bit quantization; others you can go to 4bit relatively easily. This FYI Latest HF Transformers generates BROKEN generations. But your script @SlyEcho can do that? The script You can run 13B 4bit on a lot of mid-range and high end gaming PC rigs on GPU at very high speeds, or on modern CPU which won't be as fast, but still will be faster than reading speed, # Local Alpaca via KobaldAI and TavernAI ## Introduction I've been researching and tinkering a lot Amazing how many huge releases there have been in the past few weeks. Oobabooga's sleek interface. If you're using After digged through a couple of them I decided to write a step-by-step on how to run Alpaca 13B 4-bit via KoboldAI and have chat conversation with different characters So by converting the files with the ggml python script we can use gpt4all-alpaca-oa-codealpaca-Lora-13b but not as one file. For beefier models like the gpt4-alpaca-lora-13B-GPTQ-4bit-128g, you'll need more powerful hardware. OccamRazor_pygmalion-6b-gptq-4bit • Can create notebook stories, but needs a lot of hand-holding. --local-dir-use-symlinks False . Thanks, and how to contribute. Github page. Check out the HF GGML repo here: alpaca-lora-65B-GGML. Tell me a novel walked-into-a-bar I just got gpt4-x-alpaca working on a 3070ti 8gb, getting about 0. The 13B version uses the general-instruct GPTeacher dataset from teknium. Discord For further support, and discussions on these models and AI in general, join us at: TheBloke AI's Discord server. GPT4-x-Alpaca-30B q4_0 About: Quality of the response How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/claude2-alpaca-13B-GPTQ in the "Download model" box. QLoRA Instruction Tuned Models | Paper | Code | Demo | The QLoRA Instruction Tuned Models are open-source models obtained through 4-bit QLoRA tuning of LLaMA base models on various instruction tuning datasets. • Average chat RP, but slightly worse than llama-13b-4bit-128g gpt4-x-alpaca-13b-native-4bit-128g • Can do NSFW, but cannot write long stories. Manually download the file that you need using wget or clicking the file link and pressing download button provided by HF on the HF page. 2LTS 为了快速评测相关模型的实际文本生成表现，本项目在给定相同的prompt的情况下，在一些常见任务上对比测试了本项目的中文Alpaca-7B、中文Alpaca-13B、中文Alpaca-33B、中文Alpaca-Plus-7B、中文Alpaca-Plus-13B的效果。生成回复具有随机性，受解码超参、随机种子等因素影响。 How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/claude2-alpaca-13B-GPTQ in the "Download model" box. 0 / 41. This is evident in the quality of alpaca 7b native vs alpaca 7b LoRA. Q4_K_M. 8: Chinese-Alpaca-Plus-33B: 46. . Well having gotten Alpaca 30b 4-bit running on premium GPU class in Colab Pro, it's kinda crappy, unless I'm missing something. 0: Seems to happen with different models (Tested with llama-30b-4bit-128g, llama-13b-4bit-128g and Alpaca-30b-4bit-128g). Enter this model for "Model Download:" 4bit/gpt4-x-alpaca-13b-native-4bit-128g-cuda Edit the "model load" to: 4bit_gpt4-x-alpaca-13b-native-4bit-128g-cuda There's going to be more difference in fine tuning the model versus using LoRA. 3B as draft models for speeding up the 7B and 13B LLaMA and Alpaca models for reference. 0. py and used with the instruct mode since they use the same Alpaca prompts. It implies that it's simply a larger version of 13B GPT4 x Alpaca when it's not. Try this instead if your generations are terrible (first uninstall transformers): pip install git+https: Space using 4bit/gpt4-x-alpaca-13b-roleplay-lora-4bit-v2 1. Or figure out how to get GPTQ for LLaMA working for 4bit model parallelism. Gives I was struggling to get the alpaca model working on the following colab and vicuna was way too censored. but I'll redo some tests from the HF repo once the job is over and report. 4-bit, 5-bit and 8-bit GGML models for CPU (+CUDA) inference. 3B and Chinese-Alpaca-2-1. This version of the weights was trained with the following hyperparameters: Cleaned dataset: Snapshot April 9, 2023 Epochs: 4 Validation set size: 1500 Batch size: 128 Micro batch size: 4 Cutoff length: 512 Learning rate: 3e-4 How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/claude2-alpaca-13B-GPTQ in the "Download model" box. It wasn't clear to me at first that I had to rename the . CodeUp Llama 2 13B Chat HF - GGML Model creator: DeepSE; Original model: CodeUp Llama 2 13B Chat HF; Description This repo contains GGML format model files for DeepSE's CodeUp Llama 2 13B Chat HF. 6Ghz, I get 650ms/run on the 4bit (approx. microsoft. com/ru-ru/windows/wsl/install \n; Установить Ubuntu 22. Sometimes only output one sentence at a time when you click generate. I see no benchmarks on it actually being better. You signed out in another tab or window. 8: Chinese-LLaMA-Plus-33B: 35. Hello, thanks for reading. I'm using 13. 9 / 34. Like, in my example, the ability to hold on to the identity of "Friday" throughout our conversation and understand that it is Friday and I am not. I have been able to get the canned AWS foundation models deployed, but when I try to use one off of HF hub I always get a similar erro # StableVicuna-13B This is an HF format unquantised float16 model of CarperAI's StableVicuna 13B. Alpaca 13B, in the meantime, has new behaviors that arise as a matter of sheer complexity and size of the "brain" in question. 1: Evol Instruct Code: 4096: 8. json format is a list of dictionaries; each dictionary contains the following fields: instruction: str, describes the task the model should perform. After that you will see it has download it in text-generation-webui\models\anon8231489123_gpt4-x-alpaca-13b-native-4bit-128g you can delete the gpt-x-alpaca-13b-native-4bit-128g. Note that the GPTQs will need at least 40GB VRAM, and maybe more. pt file from inside that folder and Chinese Alpaca 2 13B - GGUF Model creator: Ziqing Yang Original model: Chinese Alpaca 2 13B Description This repo contains GGUF format model files for Ziqing Yang's Chinese Alpaca 2 13B. pt use this startup command python server. There is some research that suggests 3bit might be the useful limit, with rarely certain 2bit models. LoRAs can now be loaded in 4bit! 7B 4bit LLaMA with Alpaca embedded. gptq-4bit-32g-actorder_True: 4: 32: Yes: 0. A 65b model quantized at 4bit will take more or less half RAM in GB as the number parameters. I thought the Alpaca technique was easily transferrable to the larger models, so where are they? What are the latest repos and the differences between the cpp and python ones? I was able to use this to get alpaca-30b-lora-in4 Running on kobold/tavern on my 4090! It's running at 5-15 tokens per second, depending on what exactly I do with it. Because this model contains the merged LLaMA weights it is subject to their llama-13b-int4 This LoRA trained for 3 epochs and has been converted to int4 (4bit) via GPTQ method. 8 token/s. chavinlo/alpaca-native 7b model; chavinlo/alpaca-13b; chavinlo/gpt4-x-alpaca 13b, new, I haven't tested much; These can be converted directly with convert. 04. The GGML format has now been superseded by GGUF. Each of the 20K instructions is unique. It is already quantized, use the cuda-version, works out of the box with the parameters --wbits 4 --groupsize 128. My 1060 6gb and I will have to wait for now, but I'm still stoked on all of the progress. And my GPTQ repo here: alpaca-lora-65B-GPTQ-4bit. LoRA Adapter for LLaMA 13B trained on more datasets than tloen/alpaca-lora-7b. From the command line Some insist 13b parameters can be enough with great fine tuning like Vicuna, but many other say that under 30b they are utterly bad. cpp no longer supports GGML This repo contains a low-rank adapter for LLaMA-13b fit on the Cleaned Alpaca dataset containing the new GPT-4 data. From the command line Asking because I'm trying to make the switch from 33- and 65- GPTQ's of llama1 variants to llama2's, but with 34b being unreleased and 70 having a different architecture, I'm not able to train it the same way as I was previously (using alpaca_lora_4bit). Try asking on the Github where you got the monkey patch code - is it Alpaca Lora 4bit? I'd like to hear your experiences comparing these 3 models: Wizard Vicuna 13B q4_0. 6 / 34. It was released in several sizes a 7B, a 13B, a 30B This model does not have enough activity to be deployed to Inference API (serverless) yet. It is the result of first merging the deltas from the above repository with the original Llama 13B weights, then quantising to 4bit using CodeUp Llama 2 13B Chat HF - GGUF Model creator: DeepSE; Original model: CodeUp Llama 2 13B Chat HF; This JSON file following alpaca_data. Important note regarding GGML files. 7-0. LLaMA model finetuned using LoRA (1 epoch) on the Stanford Alpaca training data set and quantized to 4bit. 1: Chinese-Alpaca-2-7B: 40. Reply reply synn89 • Time to order that A6000 48GB card, I guess. It's slow but tolerable. Repositories available 4bit GPTQ models for GPU inference. 5 GB [🤖ModelScope] Chinese-LLaMA-2-LoRA-7B: 基座模型: Llama-2-7B-hf Chinese-Alpaca-2-13B: 43. CPU usage is slow, but We’re on a journey to advance and democratize artificial intelligence through open source and open science. AutoGPTQ is added PEFT support soon (it's currently in a PR - you could try it) which will be much better, when it works. examaple: (You might need to "cd" to the new directory first: "cd gpt4-x-alpaca-13b-native-4bit-128g") New Alpaca 13b LoRA, newest more precise training. Below are the gpt4-alpaca hardware requirements for 4-bit quantization: For 13B Parameter Models. It is the result of merging the deltas from the above repository with the original Llama 13B weights. If you can fit it in GPU VRAM, even better. For older cards that failed to compile: You signed in with another tab or window. 08 compute units per hour, so that's a bit crazy to me. 2 / 45. pt", or that "experimental UI" \n \n; Включить WSL 2. OpenAssistant Conversations Dataset (OASST1), a human-generated, human-annotated assistant-style conversation corpus consisting of 161,443 messages distributed across 66,497 conversation trees, in 35 different languages; GPT4All Prompt Generations, a dataset of 400k prompts and responses generated by GPT-4; The following models are available: 1. Write a response that appropriately completes the request. They are available in 7B, 13B, 33B, and 65B parameter sizes. Model Details. Note: The best performing chatbot models are named Guanaco and finetuned on OASST1. python server. I wrote a step-by-step guide that explains how you can set this up on your own machine: https://hackmd. Everyone is talking about Alpaca 7B, but 7B sucks compared to 30B or even 13B. 5 tokens/s) and 521ms/run on the 2bit (2 tokens/s). StableVicuna-13B is fine-tuned on a mix of three datasets. StableVicuna-13B-GPTQ This repo contains 4bit GPTQ format quantised models of CarterAI's StableVicuna 13B. 00 GB: Yes: 4-bit, with Act Order and group size 32g. ~10 words/sec without WSL. Подробнее здесь - https://learn. gguf --local-dir . co/nealchandra/alpaca-13b-hf-int4 and I LoRAs for 7B, 13B, 30B. gpt4-x-alpaca-13b-native-4bit-128g 3. sxzgpp iykqd lnfom rzj vsdkd wlgv gzj azr ugjncsvx vjnxn