Llama 2 7b vs 70b. (Winners in each category are bolded.

" With its permissive license, FLAN-T5 has become a popular option for a starting instruct model. The tuned versions use supervised fine Aug 2, 2023 · The only clear information here comes from Meta: we know there are three variants of its newest model available — 7B, 13B, and 70B. Nov 6, 2023 · Llama 2 7B results are obtained from our non-quantized configuration (BF16 Weight, BF16 Activation) while the 13B and 70B results are from the quantized (INT8 Weight, BF16 Activation) configuration. For Hugging Face support, we recommend using transformers or TGI, but a similar command works. May 14, 2024 · Accessibility: Meta offers LLaMa 3 in two sizes (8B and 70B) for various deployment scenarios. Links to other models can be found in the index at May 26, 2023 · Overview. Lower the Precision. 2. 2 launched in December 2023, while Llama 2-7B-chat hit the scene in July 2023. The release of Llama 2 is available for both research and commercial use, accessible on platforms like Microsoft Azure and Amazon SageMaker. Initial release: 2022-12-06. Model Architecture : Llama 2 is an auto-regressive language optimized transformer. The focus of the tests was primarily on Mar 6, 2024 · Fig. The model has been extended to a context length of 32K with position interpolation . In total, I have rigorously tested 20 individual model versions, working on this almost non-stop since Llama 3 Safier 7B Model Outperforms Llama 2 70B Model. cpp, but they find it too slow to be a chatbot, and they are right. Even a 4gb gpu can run 7b 4bit with layer offloading. Results The 70B, being larger, has more physical capacity to store what it learns from that training data. Meta just released the new state-of-the-art open LLM, which is a collection of pre-trained and fine-tuned models ranging in scale from 7 billion to 70 billion parameters: Llama 2 — an updated version of Llama 1, trained on a new mix of publicly available data. Llama 2 7b: Quick but basic. Great for creative endeavors. Open the terminal and run ollama run wizardlm:70b-llama2-q4_0; Note: The ollama run command performs an ollama pull if the model is not already downloaded. The evolution of Llama-2 models, from the 7B to the 13B and finally the 70B variant, showcases the continuous advancements in natural language processing. - fLlama 2 extends the hugging face Llama 2 models with function calling capabilities. Running on Zero. Try it yourself at api. As Llama 2’s weight amplifies, it becomes more informed but slower, reminiscent of real Llamas. 5 vs Llama 2 And now, the moment you’ve been waiting for — the ultimate showdown! Feb 2, 2024 · LLaMA-65B and 70B. 13b vs. This is the repository for the 70B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Memory requirements. Llama-2-7B-32K-Instruct is an open-source, long-context chat model finetuned from Llama-2-7B-32K, over high-quality instruction and chat data. The most recent copy of this policy can be Jul 28, 2023 · LLaMA-2-7B-32K making completions of a book in the Together Playground. Jul 18, 2023 · In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters. The pretrained models come with significant improvements over the Llama 1 models, including being trained on 40% more tokens, having a much longer context length (4k tokens 🤯), and using grouped-query Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. This is the repository for the 70 billion parameter chat model, which has been fine-tuned on instructions to make it better at being a chat bot. Available variants: 7B, 13B, and 70B parameters. Here's a breakdown of the key differences between LLaMa 3 and LLama 2: Aug 18, 2023 · Together. You can view the model details as well as sample inputs and outputs for any of these models, by clicking through to the model card. ) That being said, the largest model in the Llama 2 family is 70B parameters, while PaLM is 540B and GPT-4 is rumored to be 1. The tuned versions use supervised fine Jul 19, 2023 · The new generation of Llama models comprises three large language models, namely Llama 2 with 7, 13, and 70 billion parameters, along with the fine-tuned conversational models Llama-2-Chat 7B, 34B, and 70B. Recall that parameters, in machine learning, are the variables present in the model during training, resembling a “ model’s knowledge bank. 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). GPT-4 summary comparison table. . Llama2 70B consistently produces high-quality tweets, outperforming GPT-3. In contrast, Llama2–70B leans towards specialization, excelling in particular domains or tasks where fine-tuned expertise is crucial, yet might exhibit Mixtral 8x7B / Mistral 7B vs. 6. Links to other models can be found in the index A notebook on how to quantize the Llama 2 model using GPTQ from the AutoGPTQ library. STRATEGYQA: On the StrategyQA benchmark, which evaluates a model's strategic reasoning abilities in multi-step decision-making scenarios, LLAMA3 outperforms previous models, with the 70B model achieving a score of 71. You need at least 0. Feb 14, 2024 · On to the HumanEval benchmark, a dataset of 164 programming problems that measure the functional correctness and logic of code generation models, Code Llama 70B scores 65. 70B seems to suffer more when doing quantizations than 65B, probably related to the amount of tokens trained. path import dirname from transformers import LlamaForCausalLM, LlamaTokenizer import torch model = "/Llama-2-70b-chat-hf/" # mode Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. The hardware requirements will vary based on the model size deployed to SageMaker. To download the model without running it, use ollama pull wizardlm:70b-llama2-q4_0. Many people actually can run this model via llama. 上記のリリースには、Metaの「 Llama 2 」をベースとした以下のモデルが含まれます Explore a collection of articles and opinions on various topics by different authors in the Zhihu column. If you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”). Our models outperform open-source chat models on most benchmarks we tested, and based on Between this three zephyr-7b-alpha is last in my tests, but still unbelievable good for 7b. Perfect for in-depth tasks. 11) while being significantly slower (12-15 t/s vs 16-17 t/s). Links to other models can be found in the index at the bottom. Download the model. 👑. 70b models generally require at least 64GB of RAM Llama-3 vs Phi-3: The Future of Compact LLMs. The models are available on major cloud platforms like AWS, Google Cloud, and Azure, making them readily accessible to a wider audience. All other models are from bitsandbytes NF4 training. We attribute this observation to the inherent memory saving vs. Considering all the above, it looks like the largest member of the Llama 2 family is ~40–45% smaller than GPT-3. Sep 12, 2023 · 先日弊社 株式会社ELYZA では以下のようなリリースをさせていただきました。. 70b models can only be run at 1-2t/s on upwards of 8gb vram gpu, and 32gb ram. These GPUs provide the VRAM capacity to handle LLaMA-65B and Llama-2 70B weights. coursesfromnick. It is also vastly superior to Llama 2 70B on code and math. In the case of Llama 2 70B (which has 80 layers), fp16 with batch size 32 for 4096 context size, the size of the KV cache comes out to a substantial 40 GB. 1000 tokens. Model Comparisons Jul 18, 2023 · The Llama 2 release introduces a family of pretrained and fine-tuned LLMs, ranging in scale from 7B to 70B parameters (7B, 13B, 70B). This ends up preventing Llama 2 70B fp16, whose weights alone take up 140GB, from comfortably fitting into the 160GB GPU memory available at tensor parallelism 2 (TP-2). 70b. 8 and the 8B model scoring 68. Input : Models input text only. 225, and the 34B model Aug 3, 2023 · meta-llama/Llama-2-7b-hf: "Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. (Meta also trained a 34B parameter Llama 2 model, but are not releasing it. The emergence of Llama-3 and Phi-3 represents a significant milestone in the development of compact and efficient language models. A benefit with training the 7B is that it uses a lot less ram and is going to be a lot faster to train. The fine-tuned variants, called Llama-2-chat, are optimized for dialogue use cases. We are interested in comparing the performance between Mistral 7B vs. like 449. This is the repository for the 70B pretrained model. 公式プロジェクトページは Aug 17, 2023 · Weight Differences: 7b vs. Original model card: Meta Llama 2's Llama 2 70B Chat. Dec 19, 2023 · 本日 (2023/12/19) Llama 2 から日本語継続事前学習を行った Swallow-7B, Swallow-13B, Swallow-70B をリリースさせて頂きました。. Also, according to the documentation the model is able to support Mar 12, 2024 · はじめに この度 ELYZA は、新たに開発した700億パラメータの大規模言語モデル (LLM) である「ELYZA-japanese-Llama-2-70b」のデモを公開しました。「ELYZA-japanese-Llama-2-70b」は、前回までに引き続き、英語の言語能力に優れた Meta 社の「Llama 2」シリーズに日本語能力を拡張するプロジェクトの一環で得られ Sep 14, 2023 · LLama 2 Model. Llama 3 has Jul 31, 2023 · Another thing we know is that its trained data does not include private and personal information from Meta products and services. Clear cache. Model Architecture Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Mixtral leaves Llama 2 behind with most metrics, especially in code and mathematics. Just seems puzzling all around. It was fine-tuned with Overview. 5 and ~96% smaller than GPT-4. 76 Trillion parameters. 5 and rivaling GPT-4. Jul 20, 2023 · It has a win rate of 36% and a tie rate of 31. Aug 8, 2023 · I use something similar to here to run Llama 2. The 7B model costs $0. Today, we’re pitting them head-to-head to find out which one reigns supreme. Its humor is a step up from Llama2 7B, though not as consistent as Llama2 70B’s output. 2, the 13B model costs $0. LLaMA-65B and 70B performs optimally when paired with a GPU that has a minimum of 40GB VRAM. The findings, as depicted in Figure 1, show that the combination of compile and SDPA achieves remarkably low latencies, with the 70B Llama 2 model recording a latency of 29ms per token. The tuned versions use supervised fine The 70B variant scores 89. As stated in the model repository's introduction, compared to T5, FLAN-T5 is "just better at everything. ) Unlike Llama 1, which was just the general-purpose LLM, Llama 2 also comes in a chat-tuned variant, appropriately named Llama 2-chat, which is Nov 9, 2023 · Llama 2 vs. 1, while the 8B variant scores 85. In the last few months, we have witnessed the rapid progress of the open-source ecosystem for LLMs — from the original LLaMA model that triggered the “LLaMA moment”, to efforts such as RedPajama, MPT, Falcon, and the recent LLaMA-2 release, open-source models have been catching up Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. Output : Models generate text only. The tuned versions use supervised fine Jul 30, 2023 · Notably, it introduces the 7B, 13B, and 70B pre-trained and fine-tuned parameter models, offering a substantial increase in pre-trained data and leveraging GQA for better inference capabilities. LLaMa. It offers four distinct modules: the Code Llama 34b instruct model, and the original Llama 2 7b, 13b and 70b. Ensure your GPU has enough memory. Jul 18, 2023 · You signed in with another tab or window. Generalization: Mixtral-8x7B’s forte lies in its exceptional versatility, effortlessly navigating through both general and niche text comprehension and generation tasks. It is also Jan 23, 2024 · The difference between the RAG systems will be the generator model, where we will have Mistral 7B, Llama 2 7B, Mixtral 8x7B, and Llama 2 70B. The second step of the training strategy is AI feedback. 🌎; 🚀 Deploy. Aug 27, 2023 · Code Llama is not a one-size-fits-all model. 本モデルの開発は、 産総研 、東京工業大学 岡崎研究室 、 横田研究室 の合同プロジェクトにて行われました。. The price of Llama 2 depends on how many tokens it processes. 5% compared to ChatGPT. Discover amazing ML apps made by the community Spaces Llama-2-7b-chat-hf-function-calling. The tuned versions use supervised fine 👨‍💻 Sign up for the Full Stack course and use YOUTUBE50 to get 50% off:https://www. The Llama 2-Chat 34B model has an overall win rate of over 75% against the equivalently sized Vicuna-33B and Falcon 40B models. Llama 2 comes in three sizes - 7B, 13B, and 70B parameters - and introduces key improvements like longer context length, commercial licensing, and optimized chat abilities through reinforcement learning compared to Llama (1). Mistral 7B and Llama 7B are two popular, relatively lightweight models in open-source LLM development. compute overhead tradeoff of quantization; as a result, for smaller models Oct 14, 2023 · Zephyr-7B is the new best 7B model fine-tuned version of the Mistral-7B and is able to beat llama-2 70B LLM on the MT Benchmark. 🌎; A notebook on how to run the Llama 2 Chat Model with 4-bit quantization on a local computer or Google Colab. # Llama 2 Acceptable Use Policy Meta is committed to promoting safe and fair use of its tools and features, including Llama 2. Model Developers: Meta AI; Variations: Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. Large language model. The cost for every 1 million tokens changes depending on the size of the model. We hope that this can enable everyone to Sep 14, 2023 · Variations : Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. Thanks to improvements in pretraining and post-training, our pretrained and instruction-fine-tuned models are the best models existing today at the 8B and 70B parameter scale. Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. It also outperforms the MPT-7B-chat model on 60% of the prompts. Learn more about running Llama 2 with an API and the different models. You switched accounts on another tab or window. Input Models input text only. Detailed results for Mixtral, Mistral 7B and Llama 2 7B/13B/70B and Llama 1 34B2 Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. The tuned versions use Nov 8, 2023 · Interestingly, employing CudaGraphs for the 7B and 13B models did not yield any benefits, hence those results are not included in our report. Input: Models input text only. It is an auto-regressive language model that uses an optimized transformer Aug 18, 2023 · Model Description. GPT-3. This achievement is surprising, considering the huge difference in parameter count between the two models. Llama 2 7B regarding inference time and Mixtral 8x7B vs. 5 vs Llama 2 When comparing two language models, both have their own advantages and disadvantages. Llama 2 13b: Balances speed and comprehension. Try running it with temperatures below 0. Model Developers Junbum Lee (Beomi) Variations Llama-2-Ko will come in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. In terms of size, Mixtral only uses 13B active parameters for each token, which is five times less than Llama 2 Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. 10 vs 4. Table 1 compares Mistral 7B and Mixtral 8x7B with Llama 2 7B/13B/70B and Llama 1 34B in different categories. The tuned versions use supervised fine Apr 18, 2024 · To download Original checkpoints, see the example command below leveraging huggingface-cli: huggingface-cli download meta-llama/Meta-Llama-3-70B --include "original/*" --local-dir Meta-Llama-3-70B. This model is specifically trained using GPTQ methods. It is also releasing the instruction-tuned version of the same as LLaMA-Chat in same 3 varieties. The Safier 7B model, developed by Louis Tto from Hugging Face, has been found to outperform the Llama 2 70B model in various categories, except for mathematics and reasoning. LLama 3 vs. Aug 10, 2023 · Llama 2 keeps its data size a bit mysterious, but we do know it’s trained with a blend of online sources. ” Feb 26, 2024 · Llama 2 can be used for free in both research and business, showing how Meta wants to encourage new ideas and make sure it’s safe. Mixtral largely outperforms Llama 2 70B on all benchmarks, except on reading comprehension benchmarks while using 5x lower active parameters. Ideal for summaries. The successor to Llama 2, Llama 3 demonstrates state-of-the-art performance on benchmarks and is, according to Meta, the "best open source models of their class, period". OpenAI’s GPT-3. The tuned versions use supervised fine LLaMA-2-7B-32K is an open-source, long context language model developed by Together, fine-tuned from Meta's original Llama-2 7B model. Modify the Model/Training. from os. Source: Author. Llama 2. Model Architecture Code Llama is an auto-regressive language model that uses an optimized transformer architecture. The Llama 2 language model is released with three different parameter sizes: 7B, 13B, and 70B. Our fine-tuned LLMs, called Llama 2-Chat, are optimized for dialogue use cases. App Files Files Community 57 Refreshing. Each of these models is trained with 500B tokens of code and code-related data, apart from 70B, which is trained on 1T tokens. Oct 12, 2023 · Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. Output: Models generate text only. Aug 11, 2023 · I chose upstage_Llama-2–70b-instruct-v2 because it’s the current #1 performing OS model on HuggingFace’s LLM Leaderboard. Aug 7, 2023 · Llama 2 comes in 3 different sizes - 7B, 13B & 70B parameters. No peeks into Meta’s secret vault, though! Llama 2 comes in three sizes — 7B, 13B, and 70B — like outfits for a fancy party. The perplexity also is barely better than the corresponding quantization of LLaMA 65B (4. Additionally, the 70B model outperforms the PaLM-bison chat model by a significant For access to the other models, feel free to consult the index provided below. CPU for LLaMA Oct 30, 2023 · Zephyr-7B beats Llama-2 70B. Llama-2-7b-chat-hf. Llama 2: open source, free for research and commercial use. together. Battle Royale. In this video, we will test Now I'm pretty sure Llama 2 instruct would be much better for this than Llama 2 chat right? Not sure whether I should use the 7B model or the 13B model though - I'm training on Kaggle's free TPUs and it's already going to take ages so idk. Running it with this low temperature will give you best instruction following and logic reasoning. Four different models Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. It even adds emojis. 0 and it starts looping after approx. LLama 2 with function calling (version 2) has been released and is available here. ai. You signed out in another tab or window. " 👍 77. With 0. Suitable examples of GPUs for this model include the A100 40GB, 2x3090, 2x4090, A40, RTX A6000, or 8000. Mistral 7B has performed really well, providing consistent output with minimal hallucinations. Metaの「Llama 2」をベースとした商用利用可能な日本語LLM「ELYZA-japanese-Llama-2-7b」を公開しました. It may be can't run it at max context. Fine-tune LLaMA 2 (7-70B) on Amazon SageMaker, a complete guide from setup to QLoRA fine-tuning and deployment on Amazon llama-2-7b-chat. So if you have an idea for your new "One AI to rule them all", it makes sense to train a 7B Jul 18, 2023 · LLaMA 2 model family. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Apr 24, 2024 · Therefore, consider this post a dual-purpose evaluation: firstly, an in-depth assessment of Llama 3 Instruct's capabilities, and secondly, a comprehensive comparison of its HF, GGUF, and EXL2 formats across various quantization levels. The successor to LLaMA (henceforce "Llama 1"), Llama 2 was trained on 40% more data, has double the context length, and was tuned on a large dataset of human preferences (over Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Reduce the `batch_size`. May 22, 2024 · May 22, 2024. So a 70B is going to seem smarter to the end user. com/bundles/fullstackml🐍 Get the free Python coursehttp math and code for Mistral (7B/8x7B) vs Llama 2 (7B/13B/70B). 06. LLaMa 2: A Head-to-Head Comparison. The tuned versions use supervised fine Sep 26, 2023 · What is Llama 2? Llama 2 is a family of LLMs from Meta, trained on 2 trillion tokens. Apr 18, 2024 · While the previous generation has been trained on a dataset of 2 trillion tokens the new one utilised 15 trillion tokens. Additionally, Llama-2-chat models have been trained on over 1 million new human annotations, making them even more adept at addressing user Nov 1, 2023 · We hope you were able to gauge what LLaMA 2 model fits your use case, and we were able to provide you with the arsenal to train and make your own fine-tuned LLM. These models challenge the notion that larger models are inherently superior, demonstrating that with innovative architectures and advanced training techniques, compact Some of the steps below have been known to help with this issue, but you might need to do some troubleshooting to figure out the exact cause of your issue. Reload to refresh your session. This model represents our efforts to contribute to the rapid progress of the open-source ecosystem for large language models. The 7B, 13B and 70B base and instruct models have also been trained with fill-in-the-middle (FIM) capability, allowing them to Apr 18, 2024 · Our new 8B and 70B parameter Llama 3 models are a major leap over Llama 2 and establish a new state-of-the-art for LLM models at those scales. Llama 2 70B regarding inference time, memory, and quality of response. Below is a set up minimum requirements for each model size we tested. We built Llama-2-7B-32K-Instruct with less than 200 lines of Python script using Together API, and we also make the recipe fully available . (Winners in each category are bolded. This repository contains the base version of the 70B parameters model. It is still good to try running the 70b for Jul 18, 2023 · 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). We're unlocking the power of these large language models. Mistral-7b-instruct-v0. Here are some of the key similarities and differences between Llama and Llama 2: Training Data and Context Length: Llama 2 models are trained on 40% more data than Llama and have double the context length. A notebook on how to quantize the Llama 2 model using GPTQ from the AutoGPTQ library. Fine-tune LLaMA 2 (7-70B) on Amazon SageMaker, a complete guide from setup to QLoRA fine-tuning and deployment on Amazon May 19, 2024 · As with the release of Llama 1, pre-trained versions of Llama 2 come in a variety of sizes: 7B, 13B, and 70B parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This step utilizes the Ultra Feedback dataset, consisting of 64,000 different prompts. Llama 2 70b: The most informed variant. 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). Aug 8, 2023 · Here’s a comparison on closed LLMs: Llama 2 loses to other LLMs in every major benchmark, with GPT-4 as a leader in all the benchmarks it’s tested in. However, it tends to hallucinate more Variations Llama 2 comes in a range of parameter sizes — 7B, 13B, and 70B — as well as pretrained and fine-tuned variations. Llama-2-70b-chat-hf. 2, far lower than GPT-4 Jul 18, 2023 · Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters. We would like to show you a description here but the site won’t allow us. Black dots mark the top-3 cases based on GPT-4’s cumulative score for rare, less Code Llama is available in four sizes with 7B, 13B, 34B, and 70B parameters respectively. We’re excited to release Llama-2-7B-32K-Instruct, a long-context instruction model fine-tuned using Together API! Llama-2-7B-32K-Instruct achieves state-of-the-art performance for longcontext tasks such as summarization and multi-document question / answering (QA), while maintaining similar performance at a shorter context as Llama Jul 24, 2023 · The collection contains pretrained and fine-tuned variants of the 7B, 13B and 70B-parameter Llama 2 generative text models. All variants are available in sizes of 7B, 13B, 34B, and 70B parameters. Our latest version of Llama – Llama 2 – is now accessible to individuals, creators, researchers, and businesses so they can experiment, innovate, and scale their ideas responsibly. The Llama 2 model comes in three size variants (based on billions of parameters): 7B, 13B, and 70B. ️ 1 Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Output Models generate text only. What is fascinating is how the smaller 8B version outperformed the bigger previus-gen 70B model in every benchmark listed on the model card: Llama 3 has also upped the context window size from 4k to 8k tokens. These models are available as open source for both research and commercial purposes, except for the Llama 2 34B model, which has been Jul 29, 2023 · Meta is releasing LLaMA-2 with7B, 13B, and 70B parameters. Dec 11, 2023 · Specialization vs. 2: Performance comparison of GPT-3·5 vs GPT-4 vs Ll2-7B vs Ll2-70B considering top-3 and bottom-3 cases. Model Architecture: Llama 2 is an auto-regressive language optimized transformer. llama 2 both, 7b and 13b models, are now generally considered to be obsolete, since Mistral 7b model was Jul 18, 2023 · FLAN-T5 is a finetuned version of Google's popular T5 model with instruct-finetuning. bt zw yv mi tw uf nx we dz sq