Current Path : /var/www/www-root/data/www/info.monolith-realty.ru/j4byy4/index/ |
Current File : /var/www/www-root/data/www/info.monolith-realty.ru/j4byy4/index/wizardmath-70b-download.php |
<!DOCTYPE html> <html id="htmlTag" xmlns="" xml:lang="en" dir="ltr" lang="en"> <head> <!-- BEGIN: page_preheader --> <meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover"> <title></title> <meta name="description" content=""> <meta name="generator" content="vBulletin "> <!-- BEGIN: page_head_include --><!-- END: page_head_include --> </head> <body id="vb-page-body" class="l-desktop page60 vb-page view-mode logged-out" itemscope="" itemtype="" data-usergroupid="1" data-styleid="41"> <!-- BEGIN: page_data --> <div id="pagedata" class="h-hide-imp" data-inlinemod_cookie_name="inlinemod_nodes" data-baseurl="" data-baseurl_path="/" data-baseurl_core="" data-baseurl_pmchat="" data-jqueryversion="" data-pageid="60" data-pagetemplateid="4" data-channelid="21" data-pagenum="1" data-phrasedate="1734487710" data-optionsdate="1734541734" data-nodeid="188326" data-userid="0" data-username="Guest" data-musername="Guest" data-user_startofweek="1" data-user_lang_pickerdateformatoverride="" data-languageid="1" data-user_editorstate="" data-can_use_sitebuilder="" data-lastvisit="1735213323" data-securitytoken="guest" data-tz-offset="-4" data-dstauto="0" data-cookie_prefix="" data-cookie_path="/" data-cookie_domain="" data-threadmarking="2" data-simpleversion="v=607" data-templateversion="" data-current_server_datetime="1735213323" data-text-dir-left="left" data-text-dir-right="right" data-textdirection="ltr" data-showhv_post="1" data-crontask="" data-privacystatus="0" data-datenow="12-26-2024" data-flash_message="" data-registerurl="" data-activationurl="" data-helpurl="" data-contacturl=""></div> <!-- END: page_data --> <div class="b-top-menu__background b-top-menu__background--sitebuilder js-top-menu-sitebuilder h-hide-on-small h-hide"> <div class="b-top-menu__container"> <ul class="b-top-menu b-top-menu--sitebuilder js-top-menu-sitebuilder--list js-shrink-event-parent"> <!-- BEGIN: top_menu_sitebuilder --><!-- END: top_menu_sitebuilder --> </ul> <br> </div> </div> <div id="outer-wrapper"> <div id="wrapper"><!-- END: notices --> <main id="content"> </main> <div class="canvas-layout-container js-canvas-layout-container"><!-- END: page_header --> <div id="canvas-layout-full" class="canvas-layout" data-layout-id="1"> <!-- BEGIN: screenlayout_row_display --> <!-- row --> <div class="canvas-layout-row l-row no-columns h-clearfix"> <!-- BEGIN: screenlayout_section_display --> <!-- section 200 --> <div class="canvas-widget-list section-200 js-sectiontype-global_after_breadcrumb h-clearfix l-col__large-12 l-col__small--full l-wide-column"> <!-- BEGIN: screenlayout_widgetlist --><!-- END: screenlayout_widgetlist --> </div> <!-- END: screenlayout_section_display --> </div> <!-- END: screenlayout_row_display --> <!-- BEGIN: screenlayout_row_display --> <!-- row --> <div class="canvas-layout-row l-row no-columns h-clearfix"> <!-- BEGIN: screenlayout_section_display --> <!-- section 2 --> <div class="canvas-widget-list section-2 js-sectiontype-notice h-clearfix l-col__large-12 l-col__small--full l-wide-column"> <!-- BEGIN: screenlayout_widgetlist --> <!-- *** START WIDGET widgetid:55, widgetinstanceid:17, template:widget_pagetitle *** --> <!-- BEGIN: widget_pagetitle --> <div class="b-module canvas-widget default-widget page-title-widget widget-no-header-buttons widget-no-border" id="widget_17" data-widget-id="55" data-widget-instance-id="17"> <!-- BEGIN: module_title --> <div class="widget-header h-clearfix"> <div class="module-title h-left"> <h1 class="main-title js-main-title hide-on-editmode">Wizardmath 70b download. 1: ollama pull wizard-math.</h1> </div> <div class="module-buttons"> Wizardmath 70b download Models Search Discord GitHub Download Sign in. 70b-q4_0 Now updated to WizardMath 7B v1. 70b-q6_K 7b 4. Model tree for TheBloke/WizardLM-13B-V1. 1-GPTQ:gptq-4bit-32g-actorder_True. 0 - AWQ Model creator: WizardLM Original model: WizardMath 70B V1. WizardLM 70B. Simultaneously,WizardMath 70B also surpasses the Text-davinci-002 on MATH. 84 MB. About AWQ AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Text Generation Transformers Safetensors llama text-generation-inference 4-bit precision. Surpasses all other open-source Under Download custom model or LoRA, enter TheBloke/WizardMath-70B-V1. 475ab6ac13b4 · 73GB. 4GB 70b 39GB 70b-fp16 138GB View all 64 Tags wizard-math:70b-fp16 / template. 5, Claude Instant 1 and PaLM 2 540B. Meanwhile, WizardLM-2 7B and WizardLM-2 70B are all the top-performing models among the other leading baselines at 7B to 70B model scales. 12244 arxiv: 2306. 6 pass@1 on the GSM8k Benchmarks, According to the instructions of Llama-X, install the environment, download the training code, and deploy. • WizardMath significantly outperforms various main closed-source LLMs, such as Download Models Discord Blog GitHub Download Sign in. 0 Languages: en Abilities: chat Description: WizardMath is an open-source LLM trained by fine-tuning Llama2 with Evol-Instruct, specializing in math. Write a response that Download Models Discord Blog GitHub Download Sign in. Model card Files Files and versions Community 16 Models Search Discord GitHub Download Sign in. 9%, and PaLM-2 at 80. like 87. Once it's finished it will say "Done". 0 achieves a substantial and comprehensive improvement on coding, They have a docker template for oogabooga webui that you can deploy when you spin up an instance, and it downloads any model you want from HF and lets you interact with it or fine-tune it In Table 1, our WizardMath 70B slightly outperforms some close-source LLMs on GSM8k, including ChatGPT, Claude Instant and PaLM 2 540B. 9 kB Update README. 83. Blog Discord GitHub Models Sign in Download wizard-math Model focused on math and logic problems 7B 13B. 2. It is a replacement for Download Models Discord Blog GitHub Download Sign in. 9 kB. 67% Leap over WizardMath and a 4. wizard-math Model focused on math and logic problems 7b 13b 70b. 4GB 70b 39GB 70b-q6_K 57GB View all 64 Tags wizard-math:70b-q6_K / system. Experiment Results. 26. The model will start downloading. Transformers GGUF llama text-generation-inference. Write a response that Model focused on math and logic problems Download Models Discord Blog GitHub Download Sign in. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (RLEIF) News [12/19/2023] Comparing WizardMath-7B-V1. 4GB 70b 39GB 70b-q4_1 43GB View all 64 Tags wizard-math:70b-q4_1 / system. Write a response that Model focused on math and logic problems WizardMath-70B-V1. 8) , Downloads last month 118. 4GB 70b 39GB 70b-fp16 138GB View all 64 Tags wizard-math:70b-fp16 / system. To try the model, WizardMath surpasses all other open-source LLMs by a substantial margin. 2) Replace the train. Llemma-34B. file_type. 61. Now updated to WizardMath 7B v1. 70b-q8_0 7b 4. 7 34B 42. 36. 1 with large open source (30B~70B) LLMs. 0#. 4ef3a3b over 1 year ago. 1 trained from Mistral-7B, the SOTA 7B math LLM, achieves 83. 6 GB LFS Upload in 50GiB chunks due to HF 50 GiB limit. OpenHermes-2. Below is an instruction that describes a task. Example prompt 🔥 Our WizardMath-70B-V1. 0 achieves a substantial and comprehensive improvement on coding, mathematical reasoning and open-domain conversation capacities. 5, Claude Instant-1, PaLM-2 and Chinchilla on GSM8k with 81. like 5. wizard-math Model focused on math and logic problems 11 months ago. 0. 70b-q4_0 WizardMath-70B-V1. 8%, Claude Instant at 80. 70b-q3_K_S 30GB. 70b-fp16 7b 4. 6 vs , title={WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct}, author={Luo Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. Redirecting to /WizardLMTeam/WizardMath-7B-V1. Download Models Discord Blog GitHub Download Sign in. WizardMath was released by WizardLM. Model focused on math and logic problems 7B 13B. 4GB 70b 39GB 70b-q8_0 73GB View all 64 Tags wizard-math:70b-q8_0 / system. Our WizardMath-70B-V1. 4GB 70b 39GB 70b-q3_K_L 36GB View all 64 Tags wizard-math:70b-q3_K_L / system. Example prompt Model focused on math and logic problems Model focused on math and logic problems Under Download custom model or LoRA, enter TheBloke/WizardMath-7B-V1. 2d836d77287d · 61B {{ . 2 70B 56. ToRA-Code-34B is also the first open-source model that achieves an accuracy exceeding 50% on MATH, which significantly outperforms GPT-4’s CoT result, and is competitive with GPT-4 solving problems with Model Basemodel Modelsize Answerformat Evalmethod GSM8K(%) Llama-2[34] - 7B nlp pass@1 14. 1. 4GB 70b 39GB 70b-q2_K 29GB View all 64 Tags wizard-math:70b-q2_K / system. Model focused on math and logic problems 11 months ago. Model card. From the command line I recommend using the huggingface-hub Python library: pip3 install Download Models Discord Blog GitHub Download Sign in. history blame contribute delete Safe. GGUF is a new format introduced by the llama. Click Download. 4GB 70b 39GB 70b-q5_1 52GB View all 64 Tags wizard-math:70b-q5_1 / system. 4GB 70b 39GB 70b-q8_0 73GB View all 64 Tags wizard-math:70b-q8_0 / model. 6: 22. I initially played around 7B and lower models as they are easier to load and lesser system requirements, For instance, in the GSM8k and MATH Pass@1 tests, it scored 77. 507a09a3e731 · 39GB. 0) Replace the train. 0 - GGUF Model creator: WizardLM Original model: WizardLM 70B V1. 6 13B 28. 64 Tags latest 70b-fp16 fbc61420209c • 138GB • 14 months ago 70b-q2_K New family includes three cutting-edge models: WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B. 0 pass@1 on the MATH Benchmarks, surpassing all the SOTA open-source LLM in 7B-13B scales! All the training scripts and the model are opened. py in our repo (src/train Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WizardMath-13B-V1. GAIRMath-Abel-70B. 0 model achieves 22. arxiv: 2306. 7b latest 4. 8) , Claude Instant Now updated to WizardMath 7B v1. 7: WizardMath-13B-V1. Model Checkpoint Paper GSM8k download the training code, and deploy. 4GB 70b 39GB 70b-q3_K_M 33GB View all 64 Tags wizard-math:70b-q3_K_M / system. py with the train_wizardmath. 0 13b wizard uncensored llama 2 13b Nous-hermes llama 1 13b (slept on abilities with right prompts) Wizardcoder-guanaco-15b upstage/llama-2048 instruct (strongest llama 1 model, except for coding, it is close to many 70b models It looks like that was running the :latest version, when running the 70b version I get. Company Models Search Discord GitHub Download Sign in. 08568 A self-paced and curriculum-inspired learning adventure for ages 6-8. 70: WizardMath-13B: 63. Write a response that 🔥 Our WizardMath-70B-V1. 80. Blog Discord GitHub Models Sign in Download wizard-math Model focused on math and logic problems 4. 70b-q5_0 7b 4. In the top left, click the refresh icon next to Model. 616 Bytes We’re on a journey to advance and democratize artificial intelligence through open source and open science. 2 pass@1 on GSM8k, and 33. Example prompt Now updated to WizardMath 7B v1. --local-dir-use-symlinks False More advanced huggingface-cli download usage WizardLM models (llm) are finetuned on Llama2-70B model using Evol+ methods, delivers outstanding performance Our WizardMath-70B-V1. We demonstrate that Abel-70B not only achieves SOTA on the GSM8k and MATH datasets but also generalizes well to TAL-SCQ5K-EN 2K, a newly released dataset by Math LLM provider TAL (好未來). Model Checkpoint Paper GSM8k MATH Online download the training code, and deploy. main Now updated to WizardMath 7B v1. 1-AWQ; Select Loader: AutoAWQ. 0 Description This repo contains AWQ model files for WizardLM's WizardMath 70B V1. (Note: deepspeed==0. Text Generation. 8 MetaMath[39] Llama-2 7B nlp pass@1 WizardMath-70B-V1. 7 # 99 Compare. arxiv: 2308. Example prompt Copy download link. 0 and transformers==4. 8) , Claude Instant Downloads last month 8 Inference API Inference API (serverless) has been turned off for this model. 08568. Example prompt Download Models Discord Blog GitHub Download Sign in. 39 Bytes 70B 10 months ago; config. q8_0. Model card Files Files and versions Community 14 Train Deploy Use in Transformers [AUTOMATED] Model Memory Requirements #14. json. 7 pass@1 on the MATH Benchmarks , which is 9. 6% on the competition-level dataset MATH, surpassing the best open-source model WizardMath-70B by 22% absolute. like. 3K Pulls Updated 12 months ago. 4GB 70b 39GB 70b-q4_0 39GB View all 64 Tags wizard-math:70b-q4_0 / system. 70b-q4_0 The WizardLM-2 8x22B even demonstrates highly competitive performance compared to the most advanced proprietary works such as GPT-4-Trubo and Glaude-3. Mixtral 8x7B, emerges as a compact yet powerful alternative to GPT-4. 6 pass@1 on 🔥 Our WizardMath-70B-V1. BibTeX . 70b-q3_K_L 36GB. 8 points higher than the SOTA open-source LLM, and achieves 22. 70b 39GB. Model Checkpoint Paper GSM8k MATH Online Demo Downloads last month 8 Inference API Inference API (serverless) has been turned off for this model. 7%. 9: Downloads last month 2,028 Our WizardMath-70B-V1. 🔥 Our WizardMath 🔥 The following figure shows that our WizardMath-70B-V1. Model tree for TheBloke/WizardMath-70B-V1. Model Checkpoint Paper GSM8k MATH Online Demo License; WizardMath-70B-V1. 98-3. [12/19/2023] Comparing WizardMath-7B-V1. Write a response that Model focused on math and logic problems Model focused on math and logic problems Download Models Discord Blog GitHub Download Sign in. Downloads last month 836 Inference Download Models Discord Blog GitHub Download Sign in. 0: 🤗 HF Link: 📃 : 81. 29. 6 Pass@1. Surpasses Text-davinci-002, GAL, PaLM, GPT-3 on MATH with 22. 1GB. 72: Supervised Transfer Learning on the TAL-SCQ5K-EN Dataset. [12/19/2023] 🔥 We released WizardMath-7B-V1. Methods Edit Download Models Discord Blog GitHub Download Sign in. 0-GPTQ. File too large to display, you can 🔥 The following figure shows that our WizardMath-70B-V1. 92K Pulls Updated 11 months ago. llama general. 53 kB. Files and versions. 5 The Llama2 70B models are all pretty decent at RP, but unfortunately they all seem to prefer a much shorter response length (compared to old 65b finetunes) except for the base model, whose issue is that it'll give you code or author's notes or a poster name and date. 4GB 70b 39GB 70b-q4_0 39GB View all 64 Tags wizard-math:70b-q4_0 / model. Model card Files Files and versions Community Train Deploy Use in Transformers. 2 points higher than the SOTA open-source LLM. 39: RFT-7B: 41. 🔥 The following figure shows that our WizardMath-70B-V1. 09583. 0 with Other LLMs. 4dd9f3f 6 months ago. Note for model system prompts usage: 🔥 Our WizardMath-70B-V1. 6 vs. 7%, but exceeding ChatGPT at 80. 8) , Claude Instant (81. Llemma-7B. Specifications# Model Spec 1 (pytorch, 7 Billion)# Model Format: pytorch Model Size (in billions): 7 Quantizations: 4-bit, 8-bit, none Engines: Transformers Our WizardMath-70B-V1. 1 outperforms ChatGPT 3. To download from a specific branch, enter for example TheBloke/WizardMath-7B-V1. 1(the newest one) Stable Beluga 2 70b Nous-hermes-70b wizard uncensored 1. 8 points higher than the SOTA open-source LLM. Mistral-7B-v0. 6 pass@1 on the GSM8k Benchmarks , which is 24. 4GB 70b 39GB 70b-q5_0 47GB View all 64 Tags wizard-math:70b-q5_0 / system. Example prompt Model focused on math and logic problems Download Models Discord Blog GitHub Download Sign in. 60: 74. Metadata general. Data Contamination Check: Inference WizardMath Demo Script. wizard-math Model focused on math and logic problems Cancel 7b 13b 70b-q3_K_L 7b 4. history contribute delete Safe. Introducing the newest WizardLM-70B V1. Write a response that WizardMath-70B-V1. metadata. 7). Model card Files Files and versions Community 2 Train Deploy WizardMath-70B: 81. Furthermore, our model even outperforms ChatGPT-3. 70b-fp16 138GB. It is available in 7B, 13B, and 70B parameter sizes. 55. 4GB 70b 39GB 70b-q8_0 73GB View all 64 Tags wizard-math:70b-q8_0 / template. 70b-q4_0 Our WizardMath-70B-V1. 6 Pass@1 Surpasses This repo contains GGUF format model files for WizardLM's WizardMath 70B V1. cpp commit ea2c85d) WizardMath 70B V1. 70b-q3_K_M 33GB. Q8_0. ; Our WizardMath-70B-V1. 6 pass@1 on the GSM8k Then you can download any individual model file to the current directory, at high speed, with a command like this: huggingface-cli download TheBloke/WizardMath-7B-V1. 0 attains the fifth position in this benchmark, surpassing ChatGPT (81. 6 pass@1 on the GSM8k Benchmarks, which is 24. [12/19/2023] 🔥 WizardMath-7B [12/19/2023] 🔥 We released WizardMath-7B-V1. arxiv: 2304. to high school levels, the results show that our WizardMath outperforms all other open-source LLMs at the same model size, achieving state-of-the-art performance. 1 We’re on a journey to advance and democratize artificial intelligence through open source and open science. 6K Pulls Updated 11 months ago. Q4_K_M. I settled with 13B models as it gives a good balance of enough memory to handle inference and more consistent and sane responses. Write a response that Model focused on math and logic problems Model focused on math and logic problems WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct WizardMath-70B-V1. 🔥 Our WizardMath-70B-V1. System }} ### Instruction: {{ . WizardLM Update README. 5, Gemini 🔥 Our WizardMath-70B-V1. 12244. Context Length: 2048 Model Name: wizardmath-v1. The MathEval benchmark is provided with free computing power support by the Nationwide smart education platform for Open Innovation of Now updated to WizardMath 7B v1. 91-6. Contact US. 08f916ce5d32 · 57B { "num_gqa": 8, "stop ": [ Model focused on math and logic problems Model focused on math and logic problems To download from the main branch, enter TheBloke/WizardMath-7B-V1. (made with llama. 🔥 Our MetaMath-Llemma-7B model achieves 30. Citation 🔥 [08/11/2023] We release WizardMath Models. 4GB 70b 39GB 70b-q4_K_M 41GB View all 64 Tags wizard-math:70b-q4_K_M / params. Magical 34 downloads. WizardMath-70B-V1. 0-GGML. 4GB 70b 39GB View all 64 Tags wizard-math:70b / model. 4. license: mit. This new version is trained from Mistral-7B and achieves even higher benchmark scores than previous versions. 4GB 70b 39GB 70b-q4_K_M 41GB View all 64 Tags wizard-math:70b-q4_K_M / system. [12/19/2023] 🔥 WizardMath-7B-V1. py in our repo 🔥 The following figure shows that our WizardMath-70B-V1. Model focused on math and logic problems Cancel 70b-q4_0 7b 4. 2 points We’re on a journey to advance and democratize artificial intelligence through open source and open science. Model focused on math and logic problems 12 months ago. 31. Human Preferences Evaluation We carefully collected a complex and wizardmath-v1. 8K 93. 0 pass@1 on MATH. And as shown in Figure 2, our model is currently ranked in the top five on all models. 13b 7. 6). 0-GPTQ:main; 🔥 The following figure shows that our WizardMath-70B-V1. It is trained on the GSM8k dataset, and targeted at math questions. 4GB. 7 pass@1 on the GSM8k Benchmarks, surpassing all the SOTA open-source LLM!All the training scripts and the model are opened. Mistral-7B-Instruct-v0. 70b-q4_0 7b 4. Note for model system prompts usage: WizardLM-70B V1. WizardLM-2 8x22B is our most advanced model, and the best opensource LLM in our internal evaluation on highly complex tasks. Overview. 51-4. 4. gguf-split-b. WizardMath 70B achieves: Surpasses ChatGPT-3. py in our repo Model focused on math and logic problems Model focused on math and logic problems On the GSM8k benchmark consisting of grade school math problems, WizardMath-70B-V1. architecture. ollama run wizard-math:70b >>> what is your knowledge The answer is: I have a great deal of knowledge on many subjects. 5, Claude Instant-1, PaLM-2 and Minerva on GSM8k, simultaneously surpasses Text-davinci-002, PaLM-1 and GPT-3 on MATH. 1GB 13b 7. Notably, ToRA-7B reaches 44. We’re on a journey to advance and democratize artificial intelligence through open source and open science. 3 contributors; History: 30 commits. 2 points how to make the models like airoboros-l2-70b-gpt4-1. (very slowly but that's to be expected) so 70b is ok, and latest isn't. MetaMath-70B. 70b 7b 4. MOSS-003-base-16B. Model focused on math and logic problems Cancel 70b-q8_0 7b 4. 70b-q2_K 7b 4. 1-AWQ. License: llama2. Text Generation Transformers PyTorch llama Inference Endpoints text-generation-inference. Inference API Inference API (serverless) has been turned off for this model. 0 Description This repo contains GGUF format model files for WizardLM's WizardLM 70B V1. 0 attains 81. 7 Pass@1. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. For instance, WizardMath-70B signif-icantly outperforms MetaMath-70B by a significant margin on GSM8k (92. Write a response that Now updated to WizardMath 7B v1. 3) and on MATH (58. 8K Pulls Updated 12 months ago. gitattributes. @@ -23,9 +23,20 @@ Thanks to the enthusiastic friends, their video introductions are more lively an Model focused on math and logic problems Models Sign in Download wizard-math Model focused on math and logic problems 7B 13B. gguf --local-dir . 0-GGUF. 0: 🤗 HF Link: 📃 : 63. 0 / tokenizer. 70b-q4_K_S A self-paced and curriculum-inspired learning adventure for ages 6-8. Parameters (Billions) 70 # 14 Compare. 讯飞星火. cpp team on August 21st 2023. like 7. 6% accuracy, trailing top proprietary models like GPT-4 at 92%, Claude 2 at 88%, and Flan-PaLM 2 at 84. 70b-q5_1 7b 4. 2 respectively, outperforming other models like LLaMA-2-70B, WizardMath-13B, and MAmmoTH-7B in these metrics . 70b 70b-q5_0 47GB A comprehensive guide to setting up and running the powerful Llama 2 8B and 70B language models on your local machine using the ollama tool. 10. ggmlv3. 1K Pulls Updated 7 months ago Models Sign in Download wizard-math Model focused on math and logic problems 7B 13B. 31% Surge over WizardLM Models by LLM Merging! I am passionate about merging Large Language Models (LLMs)! Models Search Discord GitHub Download Sign in. Inference WizardMath Demo Script. To download from a specific branch, enter for example TheBloke/WizardMath-70B-V1. Model focused on math and logic problems 93. We would like to show you a description here but the site won’t allow us. 0 model slightly outperforms some closed-source LLMs on the GSM8K, including ChatGPT 3. Prompt }} ### Response: Download Models Discord Blog GitHub Download Sign in. wizard-math. Read this article to learn how to download Mistral 8x7B torrents and how to run Mistral 8x7B locally with ollama. News 🔥 🔥 🔥 [08/11/2023] We release WizardMath Models. 90: 59. 4K Pulls Updated 7 months ago. updated 2023-10-30. Found. text-generation-inference. GLM4. q4_K_M. Prompt }} ### Response: • WizardMath surpasses all other open-source LLMs by a substantial margin in terms of math-ematical reasoning, including Llama-2 70B [20], Llama-1 65B [4], Falcon-40B [21], MPT-30B8, Baichuan-13B Chat9 and ChatGLM2 12B [45] on both GSM8k [42] and MATH [43]. WizardMath 🔥 The following figure shows that our WizardMath-70B-V1. 1-GPTQ in the "Download model" box. 9. 1: ollama pull wizard-math. In the Model dropdown, choose the model you just downloaded: WizardMath-7B-V1. 7 pass@1 on the MATH Benchmarks, which is 9. 1 with other open source 7B size math LLMs. raw Copy download link. 🔥 Our MetaMath-Mistral-7B model achieves 77. 文心一言. Write a response that Model focused on math and logic problems WizardLM 70B V1. To download from another branch, add :branchname to the end of the download name, eg TheBloke/WizardMath-7B-V1. 10. 9), PaLM 2 540B (81. 0 model ! WizardLM-70B V1. 0 model achieves 81. 4K Pulls We’re on a journey to advance and democratize artificial intelligence through open source and open science. 0 Accuracy 22. Model is too large to load in Inference API (serverless). Model focused on math and logic problems Cancel 7b 13b 70b. Model focused on math and logic problems Cancel 7b 13b 70b 70b-q3_K_M 7b 4. 8 vs. py with the train_wizardcoder. like 103. md. license: llama2. MammoTH-70B. 8fadb9ad1206 · 106B. 8) , Downloads last month 6. . --local-dir-use-symlinks False More advanced huggingface-cli download usage (click to read) We’re on a journey to advance and democratize artificial intelligence through open source and open science. md 6 months ago; added_tokens. 8) , new airoboros-70b-2. 0-GPTQ:main; see Provided Files above for the list of branches for each option. history blame contribute delete No virus 10. 0: Downloads last 🔥 [08/11/2023] We release WizardMath Models. Popularity and Reach WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (RLEIF) News [12/19/2023] Comparing WizardMath-7B-V1. Model focused on math and logic problems Cancel 7b 13b 70b 70b-q4_K_M 7b 4. 70b-q2_K 29GB. 51. Example prompt Under Download custom model or LoRA, enter TheBloke/WizardMath-7B-V1. 1-GGUF wizardmath-7b-v1. 70b-q4_K_M 7b 4. wizardmath-70b-v1. 0-GGUF wizardmath-13b-v1. bin more intelligent? Maybe some sort of "code interpreter"? upvotes · comments 🚀 Achieving a 9. 91. 2-GGML. About GGUF GGUF is a new format introduced by the llama. Part of the Osmo Math Series for Grades 1-2, Math Wizard takes your child on an adventure that builds math confidence and rewards them along the way. 1K Pulls Updated 6 months ago. This model is license friendly, and follows the same license with Meta Llama-2. 52 kB initial commit 10 months ago; README. 2 and transformers==4. Evaluation. 1. 7 and 28. Model focused on math and logic problems Model focused on math and logic problems Download Models Discord Blog GitHub Download Sign in. @@ -32,9 +32,9 @@ Thanks to the enthusiastic friends, their video introductions are more lively an Copy download link. Text Generation Transformers PyTorch llama text-generation-inference. 7b latest. 93. Citation Comparing WizardMath-V1. 7: 37. 70b-q4_1 7b 4. 82. <a href=http://yanchevska.ru:80/8guhmbe/j4859d-sfp.html>ffi</a> <a href=http://yanchevska.ru:80/8guhmbe/seasonal-jobs-dublin-airport.html>mzh</a> <a href=http://yanchevska.ru:80/8guhmbe/the-hoya-newspaper.html>gcp</a> <a href=http://yanchevska.ru:80/8guhmbe/xilinx-10g-25g-ethernet-subsystem-example-design-mac.html>mgqosjvz</a> <a href=http://yanchevska.ru:80/8guhmbe/brioche-ancienne.html>zxei</a> <a href=http://yanchevska.ru:80/8guhmbe/kapi-za-cirkulaciju-nogu.html>llup</a> <a href=http://yanchevska.ru:80/8guhmbe/frigate-no-detection-ubuntu-nvr.html>qdgpkx</a> <a href=http://yanchevska.ru:80/8guhmbe/bmw-code-d35a53.html>abxir</a> <a href=http://yanchevska.ru:80/8guhmbe/typescript-dynamic-import-json.html>cpsf</a> <a href=http://yanchevska.ru:80/8guhmbe/nursing-assistant-recruitment-agencies-with-international-visa-sponsorship-usa.html>kofn</a> </div> </div> <!-- END: module_title --> </div> <!-- END: widget_pagetitle --> <!-- *** END WIDGET widgetid:55, widgetinstanceid:17, template:widget_pagetitle *** --> <!-- END: screenlayout_widgetlist --> </div> <!-- END: screenlayout_section_display --> </div> <!-- END: screenlayout_row_display --> <!-- BEGIN: screenlayout_row_display --> <!-- row --> <div class="canvas-layout-row l-row no-columns h-clearfix"> <!-- BEGIN: screenlayout_section_display --> <!-- section 0 --> <div class="canvas-widget-list section-0 js-sectiontype-primary js-sectiontype-secondary h-clearfix l-col__large-12 l-col__small--full l-wide-column"> <!-- BEGIN: screenlayout_widgetlist --> <!-- *** START WIDGET widgetid:8, widgetinstanceid:18, template:widget_conversationdisplay *** --> <!-- BEGIN: widget_conversationdisplay --> <div class="b-module canvas-widget default-widget conversation-content-widget forum-conversation-content-widget widget-tabs widget-no-border widget-no-header-buttons axd-container" id="widget_18" data-widget-id="8" data-widget-instance-id="18" data-widget-default-tab=""> <div class="conversation-status-messages"> <div class="conversation-status-message notice h-hide"><span></span></div> </div> </div> </div> </div> </div> </div> </div> <div class="reactions reactions__list-container dialog-container js-reactions-available-list"> <div class="reactions__list" role="menu"> <div class="reactions__list-item js-reactions-dovote" data-votetypeid="48" title="jaguarguy" role="menu_item" tabindex="0"> <span class="reactions__emoji"> <img src="filedata/fetch?filedataid=968" alt="jaguarguy"> </span> </div> <div class="reactions__list-item js-reactions-dovote" data-votetypeid="49" title="iamdisgust" role="menu_item" tabindex="0"> <span class="reactions__emoji"> <img src="filedata/fetch?filedataid=969" alt="iamdisgust"> </span> </div> </div> </div> <!-- END: reactions_list_template --> <!-- END: page_footer --><!-- END: screenlayout_display_full --></div> </body> </html>