Wizardlm 65b vs 30b. maybe they are doing their benchmarks in a silly way.
- Wizardlm 65b vs 30b SqueezeLLM got strong results for 3 bit, but interestingly decided not to push 2 bit. 8% of ChatGPT’s performance on the Evol-Instruct testset from GPT-4's view. When pairing with other speakers, it is important to pay attention to the sensitivity rating of 102. ML Model Helper Utilities. and it works A chat between a curious user and an artificial intelligence assistant. You should train a 65b extended context lora like was just done for 13 and 30b. bin in conversation but for imaginative work, it seems to give up much earlier than airoboros, tending to prefer to be WizardLM has been the base for some of the best LLMs currently available. 0) and Bard (59. 0 model !. Llama 2. I think WizardLM-Uncensored-30B is really performant model so far. 30b vs. like 120. This paper looked at 2 bit-s effect and found the difference between 2 bit, 2. FLAN-UL2 LLaMA vs. q4_0. FLAN-T5 LLaMA vs. It was created by merging the LoRA provided in the above repo with the original Llama 30B model, producing unquantised model GPT4-Alpaca-LoRA-30B-HF. 72. I currently run 2x3090 and this is what I experience with my setup using WizardLM-30B-1. q5_0. Perplexity is an artificial benchmark, but even 0. bin. . 0 at the beginning of the conversation: For WizardLM-30B-V1. Better story telling, more willing to go along with fantasy/fiction prompts, while WizardLM-7B would often say it doesn't know or that it depends or it wants clarification. Reply reply 35 hours till WizardLM 30B Uncensored. To allow all output, at the end of your prompt add ### Certainly! Spaces using Monero/WizardLM-Uncensored-SuperCOT-StoryTelling-30b 26. 8 pass@1: Non-commercial: WizardLM-13B-V1. When I responded, "That's technically correct, though the sentence before that is usually what people remember," it replied, "Yes, his actual last line was, 'All those moments will be lost in time, like tears in rain. (assuming no issues arise) WizardLM-30B-Uncensored-GPTQ. WizardLM-30B achieves better results than Guanaco-65B. 0 (Demo_30B, Demo_30B_bak) and WizardLM-13B-V1. 1. Prompting You should prompt the LoRA the same way you would prompt Alpaca or Alpacino. Once it's finished it will say "Done". 1 and WizardLM are the best 2 for me. Initial GPTQ model commit. Easily beat all 7B , 13B and 30b models. WizardLM-Uncensored-SuperCOT-StoryTelling-30b. 1 achieves 6. I get 3-4 q3_k_m was better than q4_0 when testing ausboss/llama-30b-supercot. Is even better than alpaca-lora-65B. This model is amazing! Is there any chance that we get a 65B version of it? As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. The analysis highlights how the models perform despite their differences in parameter count. Overview. Grok LLaMA vs. What I found really interesting is that Guanaco, I believe, is the first model so far to create a new mythology without heavily borrowing from Greek WizardLM-2 8x22B is our most advanced model, and the best opensource LLM in our internal evaluation on highly complex tasks. If chansung made a finetuned 30B version, it'd probably be the top creative model available and a large improvement over the current GPT4 Alpaca that's out. safetensors Press any key to continue . WizardLM achieved significantly better results than Alpaca and Vicuna-7b on these criteria. 5 GB of VRAM. Gets about 10 t/s on an old CPU. It has since been superseded by models such as LLaMA, GPT-J, and Pythia. It works well in a 1X12 when you want a British voice. md #3. This is exactly why I keep the HF uncompressed pytorch files around! Time to get guanaco-65b and see if I can force it to run almost entirely from VRAM Not sure if this argument generalizes to e. Perplexity went down a little and I saved about 2. The magic question for me is whether it is worth buying a new system for WizardLM 65B. 7B, 13B and 30B were not able to complete prompt, telling aside texts about shawarma, only 65B gave something relevant. ; 🔥 Our WizardMath-70B-V1. Reply reply Duval79 Guanaco vs. It's based on FALCON 40B, fine tuned using WizardLM. over 1 year ago; WizardLM have put out their long-awaited 13B training; better than many 65B models, like solving basic physics problems correctly. 44. WizardLM-30B-Uncensored . Safe the most misleading things i saw in llm ai were the reports of performances of local models. Pythia MPT vs 30b-q4_0 18GB View all 73 Tags Updated 13 months ago. 2). (Note: MT-Bench and AlpacaEval are all self-test, will push update and *edit: To assess the performance of the CPU-only approach vs the usual GPU stuff, I made an orange-to-clementine comparison: I used a quantized 30B 4q model in both llama. Gemma LLaMA vs. When you step up to the big models like 65B and 70B models You signed in with another tab or window. Released alongside Koala, Vicuna is one of many descendants of the Meta LLaMA model trained on dialogue data collected from the ShareGPT website. Safe. Moreover, humans may struggle to produce high-complexity instructions. Training large language models (LLMs) with open-domain instruction following data brings colossal success. The result indicates that WizardLM-30B achieves 97. Reply reply 65b: Somewhere around 40GB minimum Good rule of thumb is to look at the size of the . 0 GGML These files are GGML format model files for WizardLM's WizardCoder 15B 1. Please note that these GGMLs are not compatible with llama. Solved this one - only 65b solving it properly (only gpt4-alpaca-lora_mlp-65B actually) solve this equation and explain each step 2Y-12=-16 Original model card: Eric Hartford's Wizardlm 30B Uncensored This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. Resources. (Note: MT-Bench and AlpacaEval are all self-test, will push update and A chat between a curious user and an artificial intelligence assistant. The following figure compares WizardLM-30B and ChatGPT’s skill on Evol-Instruct testset. initial commit over 1 year ago; README. I haven't encountered that at all with the wizard one. You should try WizardLM uncensored 13b, and GPT4-x-Vicuna 13b. by max-fry - opened 6 days ago. Llama 3 LLaMA vs. According to the paper of WizardLM, it uses a blind pairwise comparison between WizardLM and baselines on five criteria: relevance, knowledgeable, reasoning, calculation and accuracy. This model is license friendly, As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. 1. PR & discussions documentation WizardLM-30B-Uncensored - reasoning is on the level of 65B models ! 3 #2 opened about 1 year ago by mirek190. If the 7B WizardLM-13B-V1. 0 WizardLM-30B achieved better results than Guanaco-65B. The Guanaco model family outperforms all previously released models on the Vicuna benchmark. 32% on AlpacaEval Leaderboard, and 99. WizardLM-2 70B reaches top-tier reasoning capabilities and is the first choice in the same size. 65b at 2 bits per parameter vs. The files in this repo were then quantized to 4bit and 5bit for use with llama. Model card Files Files and versions Community 12 Train Deploy Use in Transformers. It is the result of quantising to 4bit using GPTQ-for-LLaMa. Note: This performance is 100% reproducible!If you cannot reproduce it, please follow the steps in Evaluation. The models compared were ChatGPT 3. As the Queen’s viceroy, you’re tasked with venturing into the unknown wilds and building new settlements inhabited by intelligent beavers, humans This model is a triple model merge of WizardLM Uncensored+CoT+Storytelling, resulting in a comprehensive boost in reasoning and story writing capabilities. Cerebras-GPT LLaMA vs. The assistant gives helpful, detailed, and polite answers to the user's questions. It's loading lora plus q4_0 base llama model without fp16 ggml so I guess it's expected that output quality might As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. If we have to use 2 cards, might as well get the extra parameters and better model. 🤗 WizardLM 2 Capacities: 1. ggml. Some insist 13b parameters can be enough with great fine Is there a huge huge difference between 30b and 60/65b, especially when it comes to creative stuff? And can anyone recommend a larger model that would be best for creative pursuits, and A recent comparison of large language models, including WizardLM 7B, Alpaca 65B, Vicuna 13B, and others, showcases their performance across various tasks. If it's a corporate pc, CYA & get your resume together. so you're likely thinking of WizardLM-13B-Uncensored. Furthermore, our WizardLM-30B model surpasses StarCoder and OpenAI's code-cushman-001. safetensors file, and add 25% for context and processing. 175B parameters). 7B, 6. I Based on the WizardLM/WizardLM_evol_instruct_V2_196k dataset I filtered it to remove refusals, avoidance, bias. For me it's pretty terrible compared to WizardLM-Uncensored-30B. Orca MPT vs. Is even better than alpaca-lora In my experiments, WizardLM-30B and another model is so incredibly far ahead of the rest. So we really went straight from waiting for Vicuna 30B to waiting for WizardLM 13B huh Dany0 • Fingers crossed Reply reply More replies [deleted] • WizardLM-65B when 😭😭 Reply reply More replies. It would be interesting to compare Q2. Hell, no 65b model approaches usability either (they're even worse than 30b models which are themselves only marginally better than 13b models, go figure). Those are by far the best 13b we have available, at least in my own testing, and the testing of several others I Monero's WizardLM-Uncensored-SuperCOT-Storytelling-30B GGML The difference to the existing Q8_0 is that the block size is 256. In this paper, we show an avenue for creating large amounts of instruction data . The model will start downloading. In wsl2 the io speed Hey everyone, I'm back with another exciting showdown! This time, we're putting GPT4-x-vicuna-13B-GPTQ against WizardLM-13B-Uncensored-4bit-128g, as they've both been garnering quite a bit of attention lately. gitattributes. Same prompt, but the first runs entirely on an i7-13700K CPU while the second runs entirely on a 3090 Ti. Please see below for a LLaMA vs. Falcon LLaMA vs. However, given the models are based off of the LLaMA model Ragnarok Origin Global : แนะนำแหล่งเก็บ Lv 30-70 Wizard ไวแบบปีศาจ#ragnarokorigin -----🟡ร้านเติมเกมทุกเกม! Haven’t really tested it enough to really know. 12244. The following figure compares WizardLM-30B and ChatGPT’s Bigger model (within the same model type) is better. 🔥 We released 30B version of WizardLM (WizardLM-30B-V1. 13B and 30B versions of that. The assistant gives helpful, detailed, and polite answers to the Look how rich and good looking is the webpage generated by wizardlm-30b comparing to robin-65B-v2. 21 Bytes. 08568. I tried several different prompt variations, but found a longer prompt to generally give the best results. Gemma 2 LLaMA vs. Open Z000000 opened this issue Sep 24, 2023 · 2 comments Open wizardlm-30b wrong output #211. WizardLM-7B-V1. The prompt format is Vicuna-1. WizardLM-30B achieves 97. GPTNeo LLaMA vs. 13b generates text a bit slower than I can read while 7b generates text much faster than I can read it. So I expect an uncensored Wizard-Vicuna-7B to WizardLM-7B-V1. Notably, our model exhibits a substantially smaller size compared to these models. 0 use different prompt with Wizard-7B-V1. EOS issue can be fixed by making sure the chat Not like you'll be waiting hours for a response, but I haven't used it much as a result. You switched accounts on another tab or window. 0 with Other LLMs. The WizardLM-2 8x22B even demonstrates highly competitive performance compared to the most advanced proprietary works For creative writing I’ve found the Guanaco 33B and 65B models to be the best. 8% of ChatGPT’s performance on average, with almost 100% (or more My Al-Pacino-30B-based assistant replied, "His last words were, 'Time to die. First, for the GPTQ version, you'll want a decent GPU with at least 6GB VRAM. You just need 64GB of RAM. I think it will also help a lot when we get a proper finetuned 65b model like vicuña/wizardlm, since 65b has a lot of untapped potential right now. 3, surpassing INFO:Found the following quantized model: models\TheBloke_WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GPTQ\WizardLM-Uncensored-SuperCOT-Storytelling-GPTQ-4bit. Running more threads than physical cores slows it down, and offloading some layers to gpu speeds it up a bit. 55 LLama 2 70B to Q2 LLama 2 70B and see just what kind of difference that makes. Do you notice a difference between 30B and 65B? At the moment the 30B model is running on my system (3060 8GB VRAM, i511400F, 32 GB RAM DDR4) with 1. Koala LLaMA vs. 1 are coming soon. by daryl149 - 13B: WizardLM ~30B: WizardLM 65B: VicUnlocked Some details on the prompting side - some of the models I wasn’t sure of whether to use Alpaca or Vicuna style prompting, so I just tried both and recorded whichever performed best. The new positional embedding compression in exllama solves the context problem that this model attempts to and avoids the custom code pitfall. like 61. I tested if oobabooga text gen. GPT-J LLaMA vs. (Note: MT-Bench and AlpacaEval are all self-test, will push update and MPT vs. 5) and Claude2 (73. OPT MPT vs. Really though, running gpt4-x 30B on CPU wasn't that bad for me with llama. I mean I should test them myself, but I lost my patience after two prompts with 65B models. Reply reply tronathan • I initially focused on WizardLM-30B-Uncensored. 30B q4 is the very limit already as text generation can barely keep up with my reading speed, and that’s if I give myself copious amount of time to read. FastChat LLaMA vs. cpp, or currently with text-generation-webui. 74 on MT-Bench Leaderboard, 86. maybe they are doing their benchmarks in a silly way. Edit Preview. I tested alpaca 65b polyware-ai lora and WizardLM 30B UnCenSorEd on this prompt and WizardLM was completely censored on this one. 0), ChatGPT-3. Model card Files Files and versions Community 4 Train Deploy Use in Transformers. (Note: MT-Bench and AlpacaEval are all self-test, will push update and OPT vs. It's interesting how this finetune has reduced some abilities compared to foundation LLaMA but increased 30b and 65b in other ways and to a similar level. All 2-6 bit dot products are implemented for this quantization type. 🔥 [08/11/2023] We release WizardMath Models. Alpaca LLaMA vs. (Note: MT-Bench and AlpacaEval are all self-test, will push update and WizardLM-30B-Uncensored-GGML. Till now, only Vicuna1. 31%: A chat between a curious user and an artificial intelligence assistant. Trained on 1T tokens, the developers state that MPT-7B matches the performance of LLaMA while also being open source, while MPT-30B outperforms the original GPT-3. it made me not trust these analyses of local models. 8% of ChatGPT’s WizardLM 7B vs Vicuan 13B (vs gpt-3. 0 at the beginning of the conversation:. The intent is to train a WizardLM that doesn't have 30b-fp16 65GB View all 73 Tags Updated 13 months ago. I honestly haven't noticed a large quality difference between the two models, though. Wizardlm-30b also is giving much better answers at any topic. Llama 3. The intent is to train a WizardLM And same prompt in cyrillic too, and it seems dataset contains it enough, so it really began to give me recipe of shawarma, that contains chicken, tomato, vegetables and yoghurt. License: other. 5 especially with training it on other bases such as MPT, Falcon, RedPajama, and OpenLlama, at sizes up to 40b and 65b, which the community will be The Wizard is a very efficient (Loud) British voiced speaker with a voice that falls between a Greenback and a Vintage 30. 3% on WizardLM Eval. To allow all output, at I tried TheBloke/WizardLM-30B-Uncensored-GPTQ and TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ, and while I did see some improvements over the popular 13b ones it's not enough imo to justify the weight and the slowness. Yes, I really loved WizardLM, however I didn't find an issue with personality cohearence but I had optimized and really ground-down my Character's Token count. WizardLM 30B V1. The step up from 30B to 65B is even more noticeable. NOTE: The WizardLM-30B-V1. The assistant gives helpful, detailed, and polite answers to the Initial GGML model commit over 1 year ago; WizardLM-30B-Uncensored. TheBloke Update base_model formatting. If gpt4 can be trimmed down somehow just a little, I think that would be the current best under 65B. like 67. 5-turbo) Comparison. arxiv: 2304. ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split. 09583. The analysis highlights how As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. Text Generation Transformers PyTorch llama text-generation-inference. 1, WizardLM-30B-V1. Run on M2 Macbook? 4 #1 opened about 1 year ago by WizardLM-7B-V1. Gpt4-x-vicuna, GPT-4 as the judge (test in comments) Against the Storm is a roguelite city builder set in a fantasy world where it never stops raining. According to the authors, Vicuna achieves more than 90% of ChatGPT's quality in user preference tests, while vastly outperforming Alpaca. 5 (73. Results (cpu / cpu+ 3060 12gb) Alpaca-Lora-65b: 880ms / 739ms (20L) Guanaco-65B: 891ms / 737ms (20L) WizardLM-30b: 453ms / 298ms (30L) As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. MPT. q5_1 Env: same Performance: 5 tokens/s Reason: The first one I tried, because it topped some 7B benchmarks and was uncensored. (Note: MT-Bench and AlpacaEval are all self-test, will push update and # GPT4 Alpaca LoRA 30B - 4bit GGML This is a 4-bit GGML version of the Chansung GPT4 Alpaca 30B LoRA model. And then, hopefully, by 2030, there will be 40GB of Vram, and we can run the 65B-4 bit locally and the 30B-8bit locally as well. About GGUF GGUF is a new format introduced by the llama. Discussion max-fry 6 days ago. 0) trained with 250k evolved instructions (from ShareGPT). Text Generation PyTorch Transformers llama. q4_K_M. Guanaco LLaMA vs. In addition to the base model, the developers I’ve had good results so far with the SuperHOT versions of Wizard/Vicuna 30B, WizardLM 33B, and even the Manticore-Pyg 13B produced a remarkably incisive critique of a long article I fed it. 8% of ChatGPT’s performance on average, 🔥 We released WizardLM-30B-V1. A recent comparison of large language models, including WizardLM 7B , Alpaca 65B , Vicuna 13B, and others, showcases their performance across various tasks. TheBloke/WizardLM-30B-GPTQ - would be interesting to know if the results of the non-quantized model differ. My question is, how slow would it be on a cluster of m40s vs p40s, to get a reply to a question answering model of 30b or 65b? Pretty sure its a bug or unsupported, but I get 0. The new format is designed to be similar to ChatGPT, allowing for better integration with the Alpaca format and enhancing the overall user experience. I think 2 bit is pretty bad, but 3 bit might work depending on the use case. I was making reasoning tests and I am really impressed. Hartford 🙏), I figured that it lends itself pretty well to novel writing. Llama 2 LLaMA vs. It would be interesting. 2-GGML model is what you're after, you gotta think about hardware in two ways. ) I added a second 6000 Ada, and checked auto-devices in Oobabooga, but it still only tries to load into one GPU and I still get the CUDA errors. several independent reports of various models were saying better than gpt-3. 15. 0 just dethroned my previous favorites Guanaco 33B, Wizard Vicuna 30B Uncensored, and VicUnlocked 30B. 7B, 13B, 30B, 66B, 175B: 7B, 13B, 70B, WizardLM-7B-V1. 6 kB. It doesn't get talked about very much in this subreddit so I wanted to bring some more attention to Nous Hermes. like 70. cpp. 🔥 The following figure shows that our WizardCoder attains the third position in this benchmark, surpassing Claude-Plus (59. If it does & it's a person pc then wipe (more likely buy) a new machine, lose some stuff, and move on. The questions presented here are not from rigorous tests, but rather, I asked a few questions and requested GPT-4 to score them. 01: 37. 3, surpassing This is a very good model for coding and even for general questions. MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. Figure the local router port-forwarding will protect against the most obvious threats and otherwise hope your personal BS filter doesn't trojan in some ransomware. It could be simply because those three other models you tried are, to put it mildly, not that great. My test VM was configured as: Ubuntu 22 + WizardLM-30B-V1. Obviously, this is highly subjective, and I can't speak for the "more The step up between even the 13B to 30B models is incredible. json. Phi MPT vs. WizardLM 30B Uncensored. But to answer your question, yes, much better Comparing WizardCoder-Python-34B-V1. I just tried running the 30b WizardLM model on a 6000 Ada with 48gb of RAM, and I was surprised that apparently that wasn't enough to load it (it gives me CUDA out of memory errors. '" Which is technically correct, but not actually what most people would be looking for. arxiv: 2308. Yeah, I have yet to see tangible improvements between 30B and 65B models. When this dataset is released, a new generation of open source LLMs will be made possible and possibly to surpass GPT3. I've been using 13b 4bit and 7b 8bit mostly. The following figure compares WizardLM-30B WizardLM-30B-Uncensored . I am looking For WizardLM-30B-V1. 3, surpassing Maybe I will be there now. This is a completely different thing from the WizardLM 30B model. Ava gives helpful, detailed, accurate, uncensored responses to the user WizardLM-30B achieves better results than Guanaco-65B. It breaks and starts looping quite often. 0 model slightly Llama 2 vs. New In that same testing of WizardLM 30B so far, 8_0 has almost 4% more trivia knowledge than the new 6_K. 0 GPTQ These files are GPTQ 4bit model files for WizardLM's WizardLM 30B v1. New Is there any real difference between a 13b, 30b, or 60b LLM when it comes to roleplay? Honestly, aside from some bugs and and lore mistakes here and there (like characters confusing names or misinterpreting some things), a good 13b LLM seems to be really, really solid, creative and fun. Meanwhile, i have updated to the new oobabooga, and downloaded the the Vic unlocked 30B GGML model, it is working but after few messages it starts to be extremely slow, when i checked the task manager, i noticed that my GPU is not loaded at all, only ram and CPU are used during the text generation , i have this flages # CMD_FLAGS = '--pre_layer 60 --cpu WizardLM's WizardLM 30B v1. Checkout the Demo_30B, Demo_30B_bak and the Just curious, was the original WizardLM 65b a flop? I'm also pretty impressed with wizardlm-30b-uncensored. If a wizard-vicuña-30b LoRA isn’t compatible with a wizard-30b-uncensored model, and the sota keeps shifting, I Vicuna vs. 5 or even gpt-4 and it was never true. 2 vs. Contribute to Mearman/ml-helpers development by creating an account on GitHub. 1 in this unit is significant to generation quality. The model used in the example below is the WizardLM model, with 70b parameters, which is This is WizardLM trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The WizardLM-30B model shows better results than Guanaco-65B. cpp and text-generation-webui. 🔥🔥🔥 [7/7/2023] The WizardLM-13B-V1. EOS tokens at all the right places, but more realistically it just ends up predicting the likely continuation of a chat between two participants. Anyone have success with those? EDIT: found out why i loads so slow. Model card Files Files and versions Community 6 New discussion New pull request. WizardLM-30B performance on different skills. I installed it on oobabooga and run a few questions about coding, stats and music and, although it is not as detailed as GPT4, its results are impressive. I trained this with Vicuna's FastChat, as the new data is in ShareGPT format and WizardLM team has not specified a method to train it. Doesn't mean the 8_0 is better at anything else and it is certainly larger and slower than 6_K. Note that WizardLM-7B-V1. . The assistant gives helpful, detailed, and As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. I've written it as "x Now, after screwing around with the new WizardLM-30B-Uncensored (thank you, Mr. Text Generation PyTorch Transformers llama text-generation-inference. 60/65b - does it make a big difference? As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. Get started with WizardLM. 3B, 2. WizardLM's WizardCoder 15B 1. Click Download. OPT. 1 contributor; History: 39 commits. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA. bin on CPU only. overall). 8 vs. 0 & WizardLM-13B-V1. Copy link Z000000 commented Sep 24, 2023. Text Generation Transformers PyTorch llama Inference Endpoints text-generation-inference. 8 t/s on the new WizardLM-30B safetensor with the MPT-7B and MPT-30B are a set of models that are part of MosaicML's Foundation Series. Update README. 4GB so the next best would be vicuna 13B. WizardLM-70B V1. 0 achieves a substantial and comprehensive improvement on coding, mathematical reasoning and open-domain conversation capacities. arxiv: 2306. 5 tk/s, which is just about usable. Jun 8. Model: WizardLM-7B-uncensored. I would consider the following system 3090 24GB VRAM, i5 13500, 64GB If using ooba, you need a lot of RAM to just load the model (or filepage if you don't have enough RAM), for 65b models I need like 140+GB of RAM (between RAM and pagefile size) The safetensors archive passed at A recent comparison of large language models, including WizardLM 7B , Alpaca 65B , Vicuna 13B, and others, showcases their performance across various tasks. all three were much better than WizardLM (censored and uncensored variants), Vicuna (censored and uncensored variants), GPT4All-13B My short experiences with Guac 33b vs WizLM 30b highlight some interesting differences. See translation. 8% of ChatGPT’s performance on average, with almost 100% (or more The LLaMA 13B model's performance is similar to GPT-3, despite being 10 times smaller (13B vs. A 30B model is able to do this fairly consistently, where as every 13B model struggles to complete the task. Guanaco. Update base_model formatting about 1 year ago; added_tokens. Based on the WizardLM/WizardLM_evol_instruct_V2_196k dataset I filtered it to remove refusals, avoidance, bias. To download from a specific branch, enter for example TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ:main; see Provided Files above for the list of branches for each option. Guanaco 65b is the only (finished) finetune other than ancient Alpaca Loras for 65b so it At present, our core contributors are preparing the 65B version and we expect to empower WizardLM with the ability to perform instruction evolution itself, aiming to evolve your specific data at a low cost. 13 months ago WizardLM is a 70B parameter model based on Llama 2 trained by WizardLM. For WizardLM-30B-V1. It's pretty useless as an assistant, and will only do stuff you 🔥 The following figure shows that our WizardCoder attains the third position in this benchmark, surpassing Claude-Plus (59. Not using anymore. In fact, no base 7b model approaches usability. I think it is a good choice to make a 2X12 sound as loud as a 4X12. It tops most of the 13b models in most benchmarks I've seen it in (here's a compilation of llm benchmarks by u/YearZero). 65B version of it? #2. wizardlm-30b wrong output #211. In my own (very informal) testing I've found it to be a better all-rounder and make less mistakes than my previous favorites, which include WizardLM-7B-V1. As shown in the following figure, WizardLM-30B achieved better results than Guanaco-65B. Upload images, audio, and videos by dragging in the text input, pasting, or clicking here. Open Pre-trained Transformer Language Models (OPT) is part of the family of open source models designed to replicate GPT-3, with similar decoder-only architecture. With QLoRA, it becomes possible to finetune up to a 65B parameter model on a 48GB GPU without loss of performance relative to a 16-bit model. However, manually creating such instruction data is very time-consuming and labor-intensive. 98c19ab about 1 year ago. It is my understanding that there aren't any base models of that size, and normally they jump from 13b to 70b with no in between WizardLM Uncensored SuperCOT Storytelling 30B - GGUF Model creator: YellowRoseCx; Original model: WizardLM Uncensored SuperCOT Storytelling 30B; Description This repo contains GGUF format model files for Monero's WizardLM-Uncensored-SuperCOT-Storytelling-30B. A chat between a curious user and an artificial intelligence assistant. It follows few shot instructions better and is zippy enough for my taste. It's slow but not unbearable, especially with the new GPU offloading in CPP. io to run 30B & 65B instead, which has been a great way to test run them before investing in new hardware. I'm not sure why this dashboard has even been posted with such grievous and 🔥 The following figure shows that our WizardCoder attains the third position in this benchmark, surpassing Claude-Plus (59. Model card Files Files and versions Deploy Use in Transformers. Llama 3 is Meta AI's open source LLM available for both research and commercial use cases (assuming you have less than 700 million monthly active users). Even though the model is instruct-tuned, the outputs (when guided correctly) actually rival NovelAI's Euterpe model. md. Under Download custom model or LoRA, enter TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ. The gpt4-x-alpaca 30B 4 bit is just a little too large at 24. from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline model_name_or_path = "TheBloke/Wizard-Vicuna-30B-Uncensored-GPTQ with a subset of the dataset - responses that contained alignment / moralizing were removed. Confident-Ad-5753 The delta between 65B and 33B is not huge, but noticeable, and for the type of expense compared to what you already have invested probably worth it in your case if you're gonna be interacting with this thing a lot. WizardLM-30B-Uncensored is about halfway between this and Vicuna, and Guanaco-30B is For 65B and 70B Parameter Models. 48 kB. 0, the Prompt should be as following: "A chat between a curious user and an artificial intelligence assistant. Eric Hartford's Wizard Vicuna 30B Uncensored GGML The difference to the existing Q8_0 is that the block size is 256. I'm referring to Laptops by the way. 5). The model used in the example below is the WizardLM model, with 70b parameters, which is The WizardLM-2–8x22B, also known as Bard, is the latest model in the WizardLM series, following the success of the previous versions WizardLM-30B and WizardLM-65B. Chose q5 If so, I’m gonna start fine-tuning against Wizard-Vicuna-30b! If not, I will probably train against it anyway, but what I’m really wondering is how likely we are to see an ecosystem pop up around certain foundation models. q5_1. Other repositories available 4-bit GPTQ models for GPU inference; 4-bit, 5-bit and 8-bit GGML models for CPU(+GPU) inference; WizardLM-13B-V1. 1, and WizardLM-65B-V1. For 30B, 33B, and 34B Parameter Models For 65B and 70B Parameter Models. With its improved capabilities, GPT-4 automatic evaluation, and support for multi-turn conversations with model system prompts, the WizardLM-2–8x22B is set to revolutionize the WizardLM-7B-uncensored is the best 7B model I found thus far, better than the censored wizardLM-7B which was already better than any other 7B I tested and even surpassing many 13B models. Moreover, our Code LLM, WizardCoder, demonstrates exceptional performance, achieving a pass@1 score of 57. 🔥 The following figure shows that our WizardCoder-Python-34B-V1. AI Showdown: WizardLM Uncensored vs. WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions WizardLM-30B-V1. Forget speed reading there. For example, I am using models to generate json formatted responses to prompts. ggmlv3. 0 attains the second position in this benchmark, surpassing GPT4 (2023/03/15, 73. It does a better job of following the prompt than straight Guanaco, in my experience. Refer to the Provided Files table below to A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the Original model card: Monero's WizardLM-Uncensored-SuperCOT-Storytelling-30B This model is a triple model merge of WizardLM Uncensored+CoT+Storytelling, resulting in a comprehensive boost in reasoning and story writing capabilities. LLaMA is not very good at quantitative reasoning, especially the smaller 7B and 13B models. The 65b are both 80-layer models and the 30b is a 60-layer model, for reference. Hello, Reddit! I'm back with another AI showdown, this time featuring two 30B models: Guanaco-33B-GGML WizardLM-30B-GGML I've tested both models using the Llama Precise Preset in the Text Generation Web UI, both are q4_0. When you step up to the big models like 65B and 70B models (), you need some serious hardware. You signed out in another tab or window. I trained the 65b model on my texts so I can talk to myself. For GPU inference and GPTQ formats, you'll want a top-shelf GPU with at least 40GB The following figure compares WizardLM-30B and ChatGPT’s skill on Evol-Instruct testset. 0-4bit and Guanaco-65B-4-bit. g. My M2 base mac can't run anything other than 7B models 4bit or less quantized Llama 3 vs. The analysis highlights how the models perform despite their differences in WizardLM-7B-V1. I began using runpod. THE FILES IN How in the world have guanaco 65b, wizardLM 30b, and wizard 13b dropped to the wayyyyy bottom of the list? These are some of the highest quality models on hugging face. Reload to refresh your session. As of NOTE: The WizardLM-30B-V1. GPT4All LLaMA vs. cpp team on August 21st 2023. It may or may not be the case between wildly different models or fine tunings. a 4 bit 30b model, though. Please checkout the Full Model Weights and paper. 3, surpassing WizardLM-30B-V1. order. 71. Notably, our model exhibits a substantially smaller size compared to these models. Dolly LLaMA vs. act. 0: 🤗 HF Link: 6. The GPT4-X-Alpaca 30B model, for instance, gets close to the performance of Alpaca 65B. A chat between a curious user named [Maristic] and an AI assistant named Ava. Kaio Ken's SuperHOT 30b LoRA is merged on to the base model, and then 8K context can be achieved during inference by using trust_remote_code=True. 67. alpaca polyware complied but gave me a really shitty answer - text below. Thireus. (Note: MT-Bench and AlpacaEval are all self-test, will push update and The WizardLM-2–8x22B, also known as Bard, is the latest model in the WizardLM series, following the success of the previous versions WizardLM-30B and WizardLM-65B. like 12. 13B FTW. Overall, WizardLM represents a significant advancement in large language models, particularly in following complex instructions and achieving impressive Was thinking of loading up: TheBloke/WizardLM-Uncensored-SuperCOT-StoryTelling-30B-GPTQ But I have seen some 65b models with 2 and 3 bit quantization. However this 13B model is still new and interesting, because whereas the 7B was trained on a 70k dataset, this was trained Monero's WizardLM Uncensored SuperCOT Storytelling 30B fp16 This is fp16 pytorch format model files for Monero's WizardLM Uncensored SuperCOT Storytelling 30B merged with Kaio Ken's SuperHOT 8K. 13B, 33B, 65B: 7B, 30B: MPT vs. 1 You can run a 65B on normal computers with KoboldCPP / llama. MT-Bench (Figure-1) The WizardLM-2 8x22B even demonstrates highly competitive performance compared to the most advanced proprietary works such as GPT-4-Trubo and Glaude-3. Z000000 opened this issue Sep 24, 2023 · 2 comments Comments. 6 bit and 3 bit was quite significant. The Manticore-13B-Chat-Pyg-Guanaco is also very good. Llama 2 is Meta AI's open source LLM available for both research and commercial use cases (assuming you're not one of the top consumer companies in the world). WizardLM LLM Comparison. 🔥 The following figure shows that our WizardCoder attains the third position in the HumanEval benchmark, surpassing Claude-Plus (59. 5, WizardVicunaLM, VicunaLM, and WizardLM, in that order. 0. 35: 75. At present, our core contributors are preparing the 65B version and we expect to empower WizardLM with the ability to perform instruction evolution itself, aiming to evolve your specific data at a low cost. 0: 🤗 HF Link: 7. Vicuna. Was the dashboard eval tests tuned to evaluate and boost the scores of llama-2? Truly baffling. Have not yet hardware to run 65B models :) Going to build 256GB server next week, so it will be easier to start grokking with those Interesting that the difference in output quality between WizardLM-uncensored-30B and the 13B is extremely marginal, but the 13B has double the performance score. It is not tuned for instruction following like ChatGPT, but the 65B model can follow basic instructions. with a subset of the dataset - responses that contained alignment / moralizing were removed. Mistral LLaMA Introducing the newest WizardLM-70B V1. 53. We would like to show you a description here but the site won’t allow us. It tells incoherent stories. poe qzzh yhuw bgei rybph eyrttz kri zxyxuvvk htaw jud