Alpaca 13b 4bit hf. Text Generation Transformers llama.
- Alpaca 13b 4bit hf Alpaca-lora author here. llama-2-13b-4bit-alpaca-gpt4. 1. This is the repository for the 13B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. To load GPTQ 4bit models you need danger 11-3-23 There's a new torrent version of the 4bit weights called "LLaMA-HFv2-4bit". Controversial. During loading, the RAM usage peaked at around 20GB and stayed around 14GB during inference, Saved searches Use saved searches to filter your results more quickly gpt4-x-alpaca-13b-native-4bit-128g. 7 --repeat_penalty 1. It was then quantized to 4bit using GPTQ-for-LLaMa. Hello, thanks for reading. Gpt4all was a total miss in that sense, it couldn't even give me tips for terrorising ants or shooting a squirrel, but I tried 13B gpt-4-x-alpaca and while it wasn't the best experience for coding, it's better than Alpaca 13B for erotica. 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). 329 Bytes. cpp :) Anyway, here's a script that also does unquantization of 4bit models so then can be We’re on a journey to advance and democratize artificial intelligence through open source and open science. int8 paper were integrated in transformers using the bitsandbytes library. You can run 65B models on consumer hardware already. 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 We’re on a journey to advance and democratize artificial intelligence through open source and open science. 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 Lora r: 16 Lora target modules: 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. The old "LLaMA-4bit" torrent may be fine. I'm using 13. 83 GB: 5. Also, if you have another recommendation for an Alpaca-4bit model, I'm definitely open to Working initial prompt for Llama (13b 4bit) Other I've kind of given up and am now just waiting for alpaca to be released. I also have 4bit and 2bit GGML files for cPU inference available here: TheBloke/alpaca-lora-65B-GGML. Model card Files Files and versions Community Use in PEFT. I wrote a step-by-step guide that explains how you can set this up on your own machine: https://hackmd. But in my experience (and I even trained a custom LoRA on GPT4-x-alpaca), I would say Wizard-Vicuna-13B-Uncensored is way better. json. Wizard Vicuna 13B q8_0. 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. The GGML format has now been superseded by GGUF. This 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. You signed in with another tab or window. This does not support llama. Llama 2 Family. Total training time was about 24 hours. AnOnlineHandle • No such file or directory: ‘models\gpt4-x-alpaca-30b-4bit\pytorch_model-00001-of-00061. This JSON file following alpaca_data. We provide an Instruct model of similar quality to text-davinci-003 We’re on a journey to advance and democratize artificial intelligence through open source and open science. LoRAs can now be loaded in 4bit! 7B 4bit LLaMA with Alpaca embedded. never 7b-4bit :( I eventually managed to get it running by cloning the regular Alpaca 4bit repo and swapping out the safetensor file for Alpacino's. As we strive to make models even more accessible to anyone, we decided to collaborate with bitsandbytes The GPT4 X Alpaca 13b Native 4bit 128g model is a 13 billion parameter language model that has been optimized for performance on CUDA devices. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. 14k • 50 OPEA/Qwen2-VL-72B-Instruct-int2-sym-inc TheBloke/stable-vicuna-13B-GPTQ. Top. The 30B version uses the GPT-4-LLM dataset from Microsoft Research as seen in their paper Instruction Tuning with GPT4. I've updated my OP with more examples for both versions. I can make it a very convincing chatbot, I can make it a story teller, I can make it a text adventure game, I can Details and insights about Gpt4 X Alpaca 13B Native 4bit 128g LLM by Selyam: benchmarks, internals, and performance insights. This repo contains a low-rank adapter for LLaMA-13b fit on the Cleaned Alpaca dataset containing the new GPT-4 data. Upload 8 files over 1 year ago; tokenizer. About AWQ AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Always 30b and 13b. 2-1B-Instruct-bnb-4bit-alpaca-then-quizgen-241016-1. it is a llama trained on GTP4-outputs, heavily improving the output (it is claimed up to 90% of GTP-4 quality). It is the result of merging the deltas from the above repository with the original Llama 13B weights. gguf --local-dir . like 3. gguf --color -c 4096 --temp 0. Edit model card Training procedure The following bitsandbytes quantization config was used during training: load_in_8bit: False; load_in_4bit: True; To this end, Code Alpaca follows the previous Self-Instruct paper [3] and Stanford Alpaca repo with some code-related modifications to conduct 20K instruction-following data data/code_alpaca_20k. Our LLM. pt file it will CodeUp Llama 2 13B Chat HF - GGUF Model creator: DeepSE Original model: CodeUp Llama 2 13B Chat HF Description This repo contains GGUF format model files for DeepSE's CodeUp Llama 2 13B Chat HF. https://huggingface. These files need a lot of VRAM! I believe they will work on 2 x 24GB cards, and I hope that at least the 1024g file will work on an A100 40GB. Reply reply # StableVicuna-13B This is an HF format unquantised float16 model of CarperAI's StableVicuna 13B. cpp no longer supports GGML models. Dataset used to train iamshnoo/alpaca-2-13b-greek iamshnoo/alpaca-cleaned-greek. 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. text-generation-inference. This model does not have enough activity to be deployed to Inference API (serverless) yet. The following models are available: 1. But if you have any issues with it, it's recommended to update to the new 4bit torrent or use the decapoda-research versions off of HuggingFace or produce your own 4bit weights. I found the biggest problem with GPT4-x-alpaca is, in NSFW contexts, while it is uncensored, it tries to change the subject or end the scenario too quickly, aka 'getting sidetracked' if you don't handhold it too much Stanford Alpaca This is a replica of Alpaca by Stanford' tatsu. Viewer • Updated Sep 15, 2023 • 6 • 1 Collection Was anyone able to download the LLaMA or Alpaca weights for the 7B, 13B and or 30B models? If yes please share, not looking for HF weights Share Sort by: Best. For beefier models like the gpt4-alpaca-lora-13B-GPTQ-4bit-128g, you'll need more powerful hardware. • 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. vicuna-13b-GPTQ-4bit-128g Which one do you want to load? 1-3 2 Loading gpt4-x-alpaca-13b-native-4bit-128g 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. If you connected to you r Google Drive, this will save the model in Google Drive. PyTorch. to use it in text-generation-webui, Click the Model tab. #@markdown Select the option "download_alpaca_13b" to downlo ad the Alpaca model from https://huggingface. Input Models input text only. Meta's Llama2 models Details and insights about Gpt4 X Alpaca 13B Native 4bit 128g LLM by Bunoo03: benchmarks, internals, and performance insights. Edit model card YAML Metadata bnb_4bit_use_double_quant: True; bnb_4bit_compute_dtype: bfloat16; Adapter for meta-llama/Llama-2-13b-hf. Safe. pt file and it should work without editing GPTQ_loader. My 1060 6gb and I will have to wait for now, but I'm still stoked on all of the progress. I'd like to hear your experiences comparing these 3 models: Wizard Vicuna 13B q4_0. index. PEFT. Viewer • Updated Sep 15, 2023 • 162 • 8 Collection CodeUp Llama 2 13B Chat HF - AWQ Model creator: DeepSE; Original model: CodeUp Llama 2 13B Chat HF; Description This repo contains AWQ model files for DeepSE's CodeUp Llama 2 13B Chat HF. Inference Endpoints. Newer Torrent Link or Newer Magnet Link LLaMA Model hyper parameters ; Number of parameters dimension n heads n layers Learn rate Batch size n tokens; 7B 4096 32 32 3. Name Quant method Bits Size Max RAM required Use case; claude2-alpaca-7b. LLMTune allows finetuning LLMs (e. # Local Alpaca via KobaldAI and TavernAI ## Introduction I've been researching and tinkering a lot CodeUp Llama 2 13B Chat HF - GPTQ Model creator: DeepSE Original model: CodeUp Llama 2 13B Chat HF Description This repo contains GPTQ model files for DeepSE's CodeUp Llama 2 13B Chat HF. You signed out in another tab or window. As of August 21st 2023, llama. From the command line 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. 18k • 32 TheBloke/claude2 ChasapasK/CodeLlama-34b-Instruct-hf-alpaca_style-v2-16k-q4. LLaMA model finetuned using LoRA (1 epoch) on the Stanford Alpaca training data set and quantized to 4bit. Reply reply synn89 • Time to order that A6000 48GB card, I guess. co/teknium/alpaca-13b-hf-fp16 Alpaca 7B feels like a straightforward, question and answer interface. We report 7-shot results for CommonSenseQA and 0-shot results for all New Oobabooga Standard, 8bit, and 4bit plus LLaMA conversion instructions, Windows 10 no WSL needed call python server. The model isn't conversationally very proficient, but it's a wealth of info. 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). 1 model. Curious to see it run on llama. You should see a confirmation message at the bottom right of the page saying the model was loaded successfully. From the command line gpt4-x-alpaca-13b-native-4bit-128g. Model card Files Files and versions Community 55 Train Deploy Use this model But in my experience (and I even trained a custom LoRA on GPT4-x-alpaca), I would say Wizard-Vicuna-13B-Uncensored is way better. Thanks to the chirper. If you're using 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. To download from another branch, add :branchname to the end of the download name, eg TheBloke/LLaMA2-13B-Psyfighter2-GPTQ:gptq-4bit-32g-actorder_True. As far as models go, big ones usually get posted here and localllama if they're a big deal. FYI Latest HF Transformers generates BROKEN generations. Click Download. This Mythalion 13B - GGUF Model creator: PygmalionAI Original model: Mythalion 13B Description This repo contains GGUF format model files for PygmalionAI's Mythalion 13B. Text Generation • Updated Aug 21, 2023 • 69 • 219 TheBloke/WizardLM-7B 🤗 Try the pretrained model out here, courtesy of a GPU grant from Huggingface!; Users have created a Discord server for discussion and support here; 4/14: Chansung Park's GPT4-Alpaca adapters: #340 This repository contains code for reproducing the Stanford Alpaca results using low-rank adaptation (LoRA). Updated Nov 10, 2023 • 5. From the command line All variants are available in sizes of 7B, 13B and 34B parameters. 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 . This is an fp16 version of chavinlo's native alpaca-13b model: https://huggingface. CPU usage is slow, but 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. cpp. Vicuna 13B 1. vicuna-13b-4bit Converted vicuna-13b to GPTQ 4bit using true-sequentual and groupsize 128 in safetensors for best possible model performance. It is already quantized, use 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 LoRAs for 7B, 13B, 30B. From the command line Check out the HF GGML repo here: alpaca-lora-65B-GGML. That makes sense I keep having issues cloning the hf repos as well although I was able to make it work with what they had in their repo. How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/EstopianMaid-13B-GPTQ in the "Download model" box. download_alpaca_13b = True #@param {type:"boolean"} We’re on a journey to advance and democratize artificial intelligence through open source and open science. To download from another branch, add :branchname Upload gpt-x-alpaca-13b-native-4bit-128g. GPT4-x-Alpaca-30B q4_0 About: Quality of the response medalpaca-13B-GGML This is GGML format quantised 4-bit, 5-bit and 8-bit GGML models of Medalpaca 13B. bin’ im using windows 10, probably the We’re on a journey to advance and democratize artificial intelligence through open source and open science. Now you can chat with gpt4-x-alpaca on the text-generation page. And my GPTQ repo here: alpaca-lora-65B-GPTQ-4bit. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system. ai team! I've had a lot of people ask if they can contribute. I am having many issues deploying LLM models on sagemaker. This is evident in the quality of alpaca 7b native vs alpaca 7b LoRA. Usage is the same, except instead of calling for gpt4-x-alpaca-13b-native-4bit-128g, you call for gpt4-x-alpaca-13b-native-4bit-128g-cuda. Trained using the original instructions with a minor modification in FSDP mode 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). 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. New. , the largest 65B LLAMA models) on as little as one consumer-grade GPU. Add a Comment. I've added a script to merge and convert weights to state_dict in my repo . Otherwise, it will save the file locally i n the runtime. Some have difficulty even with full 8bit quantization; others you can go to 4bit relatively easily. pt over 1 year ago; pytorch_model. decapoda-research_llama-7b-hf 2. Llama the large language model released by Meta AI just a month ago has Alpaca 13B, in the meantime, has new behaviors that arise as a matter of sheer complexity and size of the "brain" in question. 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; 中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models) - ymcui/Chinese-LLaMA-Alpaca-2 HF_HUB_ENABLE_HF_TRANSFER=1 huggingface-cli download TheBloke/claude2-alpaca-13B-GGUF claude2-alpaca-13b. like 734. About GGUF GGUF is a new format introduced by the llama. It uses 4-bit quantization, which reduces memory usage and increases inference speed. Code: We report the average pass@1 scores of our models on HumanEval and MBPP. llama-2-13b-chat-hf-codealpaca. Vicuna is a high coherence model based on Llama that is comparable to ChatGPT. Collab File: GPT4. 5 running on my own hardware. 20 models. new The community tab is the place to discuss and collaborate with the HF community! Company Saved searches Use saved searches to filter your results more quickly ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v1. Alpaca 13B, in the meantime, has new elinas/alpaca-13b-lora-int4 · How is it different than other 4bit quants? I was downloading the model from https://huggingface. Example Inference Code (Note several embeddings need to be loaded along with the LoRA weights), assumes on GPU and torch. Q4_K_M. You may be able to do so soon, when bitsandbytes releases its new 4bit mode. pt use this startup command python server. Reload to refresh your session. Text Generation • Updated 19 days ago • 25 • 1 vietphuon/Llama-3. py --auto-devices --chat --model gpt-x-alpaca-13b-native-4bit-128g --wbits 4 --groupsize 128 --no-stream --gpu-memory 7 --no-cache --pre_layer 10 --chat. Model card Files Files and versions Community 55 Train Deploy Use in Transformers. vicgalle/alpaca-gpt4. Dataset used to train iamshnoo/alpaca-2-13b-bengali iamshnoo/alpaca-cleaned-bengali. This is the HF format merged model for chansung's gpt4-alpaca-lora-13b. urlquery is a service for scanning, identifying and categorizing potentially harmful elements on a webpage, checking for malware infections and assessing overall reputation. However then you would use the base float16 model, with something like load_in_4bit=True (not sure exactly as it's not released yet) - same principle as their current 8bit quantisations. 33 GB: smallest, significant quality loss - not recommended for most purposes Model Card for Model ID Model Details Model Description Developed by: [More Information Needed] Funded by [optional]: [More Information Needed] Shared by [optional]: [More Information Needed] Model type: [More Information Needed] Language(s) (NLP): [More Information Needed] License: [More Information Needed] Finetuned from model [optional]: [More Information Needed] Alpaca LoRA 65B GPTQ 4bit This is a GPTQ-for-LLaMa 4bit quantisation of changsung's alpaca-lora-65B. bin. Glad gpt4-x-alpaca-13b-native-4bit-128g. GPT4-X-Alpaca - Best fictional tune but works best if you prefix things with a correctly prompted instruction in alpaca style. msgs Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. pt file from inside that folder and only keep the one with -cuda. Multiple GPTQ parameter permutations are provided; see Provided Files below for details of the options provided, their parameters, and the software used to create them. gguf: Q2_K: 2: 2. Oobabooga's sleek interface. Because this model contains the merged LLaMA weights it is subject to their This LoRA trained for 3 epochs and has been converted to int4 (4bit) via GPTQ method. Transformers. Its features include: Modular support for multiple LLMs (currently LLAMA, OPT) Support for a wide range of consumer-grade NVidia GPUs; 65B LLAMAs finetune on one A6000 Tiny and easy-to-use VipLLaVA Model Card Below is the model card of VipLlava model 13b, which is copied from the original Llava model card that you can find here. Note: The best performing chatbot models are named Guanaco and finetuned on OASST1. py --llama4bit D:\koboldAI\4-bit\KoboldAI-4bit\models\llama-13b-hf\llama-13b-4bit. After a day worth of tinkering and renting a server from vast. In chat mode it gives a couple of normal answers until then starts spewing some random info StableVicuna-13B is fine-tuned on a mix of three datasets. To download from another branch, add :branchname to the end of the download name, eg TheBloke/EstopianMaid-13B-GPTQ:gptq-4bit-32g-actorder_True. llama. ; The code for generating the data. Home; Archive; About Me; 26 Mar 2023 llama alpaca Alpaca Finetuning of Llama on a 24G Consumer GPU by John Robinson @johnrobinsn. Want to try this in Colab for free? Vigogne Instruct 13B - A French instruction-following LLaMa model HF These files are fp16 HF format model files for Vigogne Instruct 13B - A French instruction-following LLaMa model. Text Generation Transformers llama. I'd like to share with you today the Chinese-Alpaca-Plus-13B-GPTQ model, which is the GPTQ format quantised 4bit models of Yiming Cui's Chinese-LLaMA-Alpaca 13B for GPU reference. The 13B version uses the general-instruct GPTeacher dataset from 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. Depends on the model. Side panel links to the documentation included with oobabooga. g. These files are the result of merging the LoRA and then uploading in fp16. For further support, and discussions on these models and AI in general, join us at: TheBloke AI's Discord server. py --model llama-13b-hf --load-in-8bit --listen-port 3360 --share --cai-chat --gpu-memory 10 10 --lora alpaca-lora So with 10gb VRAM and 32gb RAM 13B in 4bit should work. LFS Upload 8 files over 1 year ago; tokenizer_config. AutoGPTQ is added PEFT support soon (it's currently in a PR - you could try it) which will be much better, when it works. model. 17 tokens/second. Model Details. Collection This collection hosts the transformers and original repos of the Llama 2 and Llama Guard releases • 13 items • Updated 17 days ago • 76. Features: 13b LLM, VRAM: 7. This repository contains the Instruct version of the 13B parameters model. 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. 96 Bytes. co/el inas/alpaca-13b-lora-int4. It wasn't clear to me at first that I had to rename the . There is some research that suggests 3bit might be the useful limit, with rarely certain 2bit models. Tell me a novel walked-into-a-bar Apparently these are fp32 models. Text Generation • Updated 5 days ago • 1. bnb_4bit_use_double_quant: True; bnb_4bit_compute_dtype: bfloat16; Adapter for meta-llama/Llama-2-13b-hf. 14) python aiserver. pt 15) load the specific model you set in 14 via KAI FYI: you always have to run the commandline. Sometimes only output one sentence at a time when you click generate. Adapters. 11. Text Generation. examaple: (You might need to "cd" to the new directory first: "cd gpt4-x-alpaca-13b-native-4bit-128g") Amazing how many huge releases there have been in the past few weeks. 1 GPTQ 4bit 128g This is a 4-bit GPTQ version of the Vicuna 13B 1. We’re on a journey to advance and democratize artificial intelligence through open source and open science. json format is a list of dictionaries; each dictionary contains the following fields: How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/LLaMA2-13B-Tiefighter-GPTQ in the "Download model" box. 0E-04 4M 1T 13B 5120 40 40 TheBloke/claude2-alpaca-13B-GGUF. Best. This version of the weights was trained on a dual RTX3090 system, powered by solar energy. I found the biggest problem with GPT4-x-alpaca is, in NSFW contexts, while it is uncensored, it tries to change the subject or end the scenario too quickly, aka 'getting sidetracked' if you don't handhold it too much Discover amazing ML apps made by the community This repo contains a low-rank adapter for LLaMA-13b fit on the Cleaned Alpaca dataset containing the new GPT-4 data. If you can fit it in GPU VRAM, even better. ~10 words/sec without WSL. Other repositories available 4-bit GPTQ models for GPU inference 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. #18. Note that the GPTQs will need at least 40GB VRAM, a 2bit 65B vs a 4bit 30B, or likewise a 2bit 30B vs a 4bit 13B. They are available in 7B, 13B, 33B, and 65B parameter sizes. I don't use Windows, so I can't comment on if it does or doesn't work on there, but it's worth trying. Model card Files Files and versions Community Train Deploy Use in Transformers. This Sorry I have no experience of the monkey patch or fine tuning GPTQ models. It is the result of first merging the deltas from the above repository with the original Llama 13B weights, then quantising to 4bit using How to download, including from branches In text-generation-webui To download from the main branch, enter TheBloke/LLaMA2-13B-Psyfighter2-GPTQ in the "Download model" box. OccamRazor_pygmalion-6b-gptq-4bit • Can create notebook stories, but needs a lot of hand-holding. I'm trying to run this using oobabooga but I'm getting 0. This model is designed for true sequential processing with a group size of 128, making it well-suited for handling large-scale datasets. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. Github page. Like, in my python server. Recording via OBS seems to slow the output a bit. Find out how Gpt4 X Alpaca 13B Native 4bit 128g can be utilized in your business workflows, problem-solving, and tackling specific tasks. Thanks, and how to contribute. json for code generation tasks. 3B as draft models for speeding up the 7B and 13B LLaMA and Alpaca models for reference. Q&A. It was created by merging the deltas provided in the above repo with the original Llama 13B model, using the code provided on their Github page. Additional comment actions. Model card Files Files and versions Community 2 Use in PEFT. 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 使用text-generation-webui部署chinese-alpaca-2-13b-16k-hf 加载模型时报错，请问如何解决？ This model does not have enough activity to be deployed to Inference API (serverless) yet. They all have 4-bit ggml models available on hf. Repositories available 4bit GPTQ models Well having gotten Alpaca 30b 4-bit running on premium GPU class in Colab Pro, it's kinda crappy, unless I'm missing something. rename cuda model to gpt-x-alpaca-13b-native-4bit-128g-4bit. ; code refactoring; reformatting text into markdown format (just simple list-up to bullet pointers) llama-13b-4bit-gr128. ; StableVicuna-13B-GPTQ This repo contains 4bit GPTQ format quantised models of CarperAI's StableVicuna 13B. ai I managed to get wizard-vicuna-13B GPT4-x-alpaca-13b seems better so far. py because if there is only one . Reply reply BalorNG HF Packet Contest this weekend February 4-5, 2023 upvotes with 30B model, I have experienced the following conversations: continue when the output is omitted. co/nealchandra/alpaca-13b-hf-int4 and I Below are the gpt4-alpaca hardware requirements for 4-bit quantization: For 13B Parameter Models. Important note regarding GGML files. You can't load 4bit models in native transformers at the moment. 08 compute units per hour, so that's a bit crazy to me. Check out also the Google Colab demo to run Llava on a free-tier Google Colab instance (the model works similarly as Llava): gpt4-x-alpaca-13b-native-4bit-128g-cuda. The cache location can be changed with the `HF_HOME` environment variable, -To download from a specific branch, enter for example `TheBloke/claude2-alpaca-13B-GPTQ:gptq-4bit-32g-actorder_True`-see Provided Files above for the list of This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. io/@ That's because the name for 30B GPT4 x Alpaca is kind of a misnomer. I see no benchmarks on it actually being better. . The repo contains: The 52K data used for fine-tuning the model. Use the safetensors version of the model, the pt version is an old quantization that is This is the HF format merged model for chansung's gpt4-alpaca-lora-13b. cpp or any other cpp implemetations, only cuda is supported. 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. pt", or Even better if you can include 7b, gpt4-x-alpaca 13b, and gpt4-x-alpaca 30b. co/anon8231489123/gpt4-x-alpaca-13b-native-4bit-128g/tree/main. StableVicuna-13B-GPTQ This repo contains 4bit GPTQ format quantised models of CarterAI's StableVicuna 13B. 1 -n -1 -p "Below is an instruction that describes a task. Features: 13b LLM, VRAM: 8. This repo is the result of quantising to 4-bit, 5-bit and 8-bit GGML for CPU (+CUDA) inference using llama. Upload 8 files over 1 year ago; special_tokens_map. For some reason, that version loads just fine on Linux, even though the anon8231489123 version doesn't. /main -ngl 32 -m claude2-alpaca-13b. float16: There's going to be more difference in fine tuning the model versus using LoRA. Try asking on the Github where you got the monkey patch code - is it Alpaca Lora 4bit? Some insist 13b parameters can be enough with great fine tuning like Vicuna, but many other say that under 30b they are utterly bad. Commonsense Reasoning: We report the average of PIQA, SIQA, HellaSwag, WinoGrande, ARC easy and challenge, OpenBookQA, and CommonsenseQA. Text Generation Transformers llama Inference Endpoints text-generation-inference. gpt4-x-alpaca-13b-native-4bit-128g 3. 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. py and used with the instruct mode since they use the same Alpaca prompts. Model card Files Files and versions Community 1 Train Deploy Use this model Edit model card Update (4/1): Added ggml for Cuda model. You switched accounts on another tab or window. like 4. I found success when using this model instead. pt file to "4bit. Edit model card Training procedure bnb_4bit_quant_type: nf4; bnb_4bit_use_double_quant: True; bnb_4bit_compute_dtype: float16; The following bitsandbytes quantization config was used during training: Collections including meta-llama/Llama-2-13b-hf. This is the repo for the Stanford Alpaca project, which aims to build and share an instruction-following LLaMA model. This This repo contains a low-rank adapter for LLaMA-13b fit on the Stanford Alpaca dataset. --local-dir-use-symlinks False . like 2. like 0. Or figure out how to get GPTQ for LLaMA working You signed in with another tab or window. Model tree for codellama/CodeLlama-13b-Instruct-hf. Copied. From the command line LLMs are known to be large, and running or training them in consumer hardware is a huge challenge for users and accessibility. Will test further. Open comment sort options. 4 kB. Discord For further support, and discussions on these models and AI in general, join us at: TheBloke AI's Discord server. These implementations require a different format to use. 500 kB. 33. Seems to happen with different models (Tested with llama-30b-4bit-128g, llama-13b-4bit-128g and Alpaca-30b-4bit-128g). AMD 6900 XT, RTX 2060 12GB, Overall performance on grouped academic benchmarks. Llama 2. In the Model dropdown menu, select anon8231489123_gpt4-x-alpaca-13b-native-4bit-128g. Q2_K. 9GB, Quantized, LLM Explorer Score: 0. int8 blogpost showed how the techniques in the LLM. Repositories available 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. 1GB, Quantized, LLM Explorer Score: 0. Prompting. 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. If you're using the GPTQ version, you'll want a strong GPU with at least 10 gigs of VRAM. bat and execute the command from step 14 otherwise KAI loads the 8bit version of the selected model I was struggling to get the alpaca model working on the following colab and vicuna was way too censored. like 732. Copy the entire model folder, for example llama-13b-hf, into text-generation-webui\models This was just the first Alpaca-4bit model I've found. cpp team on August 21st 2023. 12GB 3080Ti with 13B for examples. 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. A 65b model quantized at 4bit will take more or less half RAM in GB as the number parameters. Is it possible that AlpacaCielo 13b is on par with something like Guanaco 33b (llama1) or The table below provides the speedup results achieved by using the speculative sampling strategy with Chinese-LLaMA-2-1. It implies that it's simply a larger version of 13B GPT4 x Alpaca when it's not. 3B and Chinese-Alpaca-2-1. It is the result of first merging the deltas from the above repository with the original Llama 13B weights, then quantising to 4bit using LoRA Adapter for LLaMA 13B trained on more datasets than tloen/alpaca-lora-7b. Dataset Hey guys! Following leaked Google document I was really curious if I can get something like GPT3. Old. Under Download custom model or LoRA, enter rabitt/Chinese-Alpaca-Plus-13B-GPTQ. Reply reply More replies. For older cards that failed to compile: 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. . mmoa aiki xfdrbza nmi ugua mdha jqap pydxa mafipx ggffr