Llama 2 api pricing. Cost efficient GPT-3 API alternative.

This is the repository for the 70 billion parameter base model, which has not been fine-tuned. Also, Group Query Attention (GQA) now has been added to Llama 3 8B as well. This offer enables access to Llama-2-13B inference APIs and hosted fine-tuning in Azure AI Studio. 50/M for Mistral-tiny (7B) and Mistral-small (8x7B), respectively. Language models are also available in the Batch API (opens in a new window) that returns completions within 24 hours for a 50% discount. Access Model Garden: Navigate to “Model Jul 20, 2023 · Another feature of Llama 2 API is fine-tuning the model for specific tasks. Maybe https://together. Our benchmarks show the tokenizer offers improved token efficiency, yielding up to 15% fewer tokens compared to Llama 2. The next generation of our open source large language model This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters. Give a text instruction for running Llama API. Tokens are counted using the TokenCountingHandler callback. The fact that there is no additional per-token billing is a huge advantage. Model Details Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Learn more about running Llama 2 with an API and the different models. Usage Pattern. Section — 2: Run as an API in your application. Create a virtual environment: python -m venv . 002 per 1k tokens. Debe solicitar acceso a la API completando un formulario LlamaCloud is a new generation of managed parsing, ingestion, and retrieval services, designed to bring production-grade context-augmentation to your LLM and RAG applications. 0 license, and we made it easy to deploy on any cloud. Mother-Ad-2559. Set the REPLICATE_API_TOKEN environment variable. This is the repository for the 13 billion parameter base model, which has not been fine-tuned. - ollama/ollama Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. 9. This is state of the art machine learning model using a mixture 8 of experts (MoE) 7b models. Now, organizations of all sizes can access Llama models in Amazon Bedrock without having to manage the underlying infrastructure. venv/Scripts/activate. Today we are extending the fine-tuning functionality to the Llama-2 70B model. Part of a foundational system, it serves as a bedrock for innovation in the global community. @Anas Syed Thanks for the question, Falcon LLMs models need Nvidia A100 GPUs to run. You will need quota for one of the following Azure VM instance types that have the A100 GPU: "Standard_NC48ads_A100_v4", "Standard_NC96ads_A100_v4", "Standard_ND96asr_v4" or Apr 18, 2024 · Llama 3 will soon be available on all major platforms including cloud providers, model API providers, and much more. Llama 2 was trained on 40% more data than Llama 1, and has double the context length. Aug 9, 2023 · The basic outline to hosting a Llama 2 API will be as follows: Use Google Colab to get access to an Nvidia T4 GPU for free! Use Llama cpp to compress and load the Llama 2 model onto GPU. We’re opening access to Llama 2 with the support Jul 18, 2023 · Today’s expansion of our model catalog with Llama 2 and our partnership with Meta is a big step forward in achieving a responsible, open approach to AI. It’s released under Apache 2. Interact with the Llama 2 and Llama 3 models with a simple API call, and explore the differences in output between models for a variety of tasks. Llama, and Llama-2 specifically, is a family of LLMs publicly released by Meta ranging from 7B to 70B parameters, which outperform other open source language models on many external benchmarks, including reasoning, coding, proficiency, and knowledge tests. Jul 29, 2023 · Step 2: Prepare the Python Environment. API providers benchmarked include Microsoft Azure, Amazon Bedrock, Groq, Together. Nov 15, 2023 · MaaS also offers the capability to fine-tune Llama 2 with your own data to help the model understand your domain or problem space better and generate more accurate predictions for your scenario, at a lower price point. This innovative model comes with pretrained and fine-tuned language models, ranging from 7B to 70B parameters, providing enhanced context length compared to its predecessor, Llama 1. openai Jul 18, 2023 · Takeaways. Check out the model’s API reference for a detailed overview of the input/output schemas. Prices can be viewed in units of either per 1M or 1K tokens. Stay up to date with the latest AI innovations and products. Still, we want to highlight Alpaca's ability to differentiate as an API-first company and provide an unparalleled brokerage as a service to InvestSky. 00 per 1M Tokens. 02 *. The proliferation of Llama-2 providers with their different flavors is A 70 billion parameter language model from Meta, fine tuned for chat completions. You can do this by creating an account on the Hugging Face GitHub page and obtaining a token from the "LLaMA API" repository. For LLama 2 Deployment: Click on “Llama2–7b-Chat jumpstart” and then click on “Deploy. 2% in the same benchmark. Llama 2 is now available for free for both research and commercial use. The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative […] Apr 18, 2024 · In collaboration with Meta, today Microsoft is excited to introduce Meta Llama 3 models to Azure AI. Explore detailed costs, quality scores, and free trial options at LLM Price Check. 1 is a small, yet powerful model adaptable to many use-cases. We chose to partner with Alpaca for many reasons. Install the llama-cpp-python package: pip install llama-cpp-python. Amazon Bedrock is the first public cloud service to offer a fully managed API for Llama, Meta’s next-generation large language model (LLM). Calculate and compare pricing with our Pricing Calculator for the Llama 3 70B (Groq) API. What you’ll do: there's many more options out there, i'd suggest you take a look at Unify, they seem to be doing this kind of cost/perf analysis of endpoints for various models. Due to low usage this model has been replaced by meta-llama/Meta-Llama-3-70B-Instruct. We also really appreciate how supportive Alpaca's Models. AWS SageMaker Setup: After clicking on “Deploy,” AWS SageMaker will initiate the setup process. 5 / Day. 59/$0. 15/M and 0. 92. For chat models, such as Meta-Llama-2-7B-Chat, use the /v1/chat/completions API or the Azure AI Model Inference API on the route /chat/completions. On your machine, create a new directory to store all the files related to Llama-2–7b-hf and then navigate to the newly Jul 18, 2023 · reader comments 64. 9% in the MMLU benchmark, Haiku, the smallest size of the Claude 3 model, has a score of 75. Además, puedes acceder a la API del modelo Llama 2 desde la web oficial de Meta AI. Price: Llama 2 Chat (70B) is cheaper compared to average with a price of $1. Mar 19, 2024 · Performance Difference. For example, for stability-ai/sdxl : This model costs approximately $0. Llama 3 stands out not just for its technological prowess but also for its pricing strategy. On Tuesday, Meta announced Llama 2, a new source-available family of AI language models notable for its commercial license, which means the models can be integrated into Choose from a variety of popular models in our catalog including Llama-2, Whisper, and ResNet50. For completions models, such as Meta-Llama-2-7B, use the /v1/completions API or the Azure AI Model Inference API on the route /completions. Access other open-source models such as Mistral-7B, Mixtral-8x7B, Gemma, OpenAssistant, Alpaca etc. For comparison of Llama 2 Chat (70B) to other models, see. Developed by Meta, Llama 3 is made available at no cost to the developer and Jul 19, 2023 · Furthermore, this article has introduced you to the Llama 2 API, the gateway to access and use Llama 2 for your projects and products. For more information on using the APIs, see the reference The fine-tuned versions, called Llama 2, are optimized for dialogue use cases. Virginia) and US West (Oregon) AWS Regions. Jun 20, 2024 · Llama 2 13B Chat AWQ is an efficient, accurate and blazing-fast low-bit weight quantized Llama 2 variant. 000725 per second. Today, we are excited to announce that Llama 2 foundation models developed by Meta are available for customers through Amazon SageMaker JumpStart to fine-tune and deploy. 04 years of a single GPU, not accounting for bissextile years. LLaMa 2 is a collections of LLMs trained by Meta. Nov 9, 2023 · Based on the pricing structure presented above for Llama 2 and GPT-4, you can estimate the cost based on the anticipated amount of usage or requests. The Llama 2 inference APIs in Azure have content moderation built-in to the service, offering a layered approach to safety and In this public benchmark, Mistral. Llama-2-70b-chat @ $3 per 1M tokens. However, Llama-2 is far more than just a suite of models. Jul 18, 2023 · October 2023: This post was reviewed and updated with support for finetuning. 1. 3. May 23, 2024 · The Meta Llama family of large language models (LLMs) is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Choose the plan that RapidAPI partners directly with API providers to give you no-fuss, transparent pricing. Visit the Azure AI model catalog and start using Llama 2 today. Apr 18, 2024 · Llama 3 is the latest language model from Meta. Sep 25, 2023 · Access Vertex AI: Once your account is set up search “Vertex AI” in the search bar at the top. That’s the equivalent of 21. However, this is just an estimate, and the actual cost may vary depending on the region, the VM size, and the usage. Readme. I found that LLMs like llama output only 10-20 tokens per second, which is very slow. Jun 28, 2024 · For completions models, such as Meta-Llama-2-7B, use the /v1/completions API or the Azure AI Model Inference API on the route /completions. Llama 2 Chat (70B) Input token price: $0. Aug 25, 2023 · It is divided into two sections. I figured being open source it would be cheaper, but it seems that it costs so much to run. Updates post-launch. md Analysis of API providers for Llama 2 Chat (70B) across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. 01 per 1k tokens! This is an order of magnitude higher than GPT 3. For context, these prices were pulled on April 20th, 2024 and are subject to change. We appreciate the support we get from all Alpaca teams ranging from Sales to Customer Success. Microsoft and Meta are expanding their longstanding partnership, with Microsoft as the preferred partner for Llama 2. g. Llama 3 is an accessible, open-source large language model (LLM) designed for developers, researchers, and businesses to build, experiment, and responsibly scale their generative AI ideas. By choosing View API request, you can also access the model using code examples in the AWS Command Line Multiple models, each with different capabilities and price points. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Analysis of API providers for Llama 3 Instruct (70B) across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. OpenHermes-2-Mistral-7B Installing the SDK Our SDK allows your application to interact with LlamaAPI seamlessly, abstracting the handling of aiohttp sessions and headers, allowing for a simplified interaction with LlamaAPI. Dashboards. The model family also includes fine-tuned versions optimized for dialogue use cases with Reinforcement Learning from Human Feedback (RLHF), called Llama-2-chat. Then choose Select model and select Meta as the category and Llama 8B Instruct or Llama 3 70B Instruct as the model. This model was contributed by zphang with contributions from BlackSamorez. Llama 2 is a collection of pre-trained and fine-tuned generative . This architecture allows large models to be fast and cheap at inference. Available everywhere Run AI models from Workers, Pages, or anywhere via our REST API Jul 28, 2023 · Does llama-2 need pro subscription? - Beginners - Hugging Loading Oct 31, 2023 · Platforms like MosaicML and OctoML now offer their own inference APIs for the Llama-2 70B chat model. Install Replicate’s Node. API providers benchmarked include Microsoft Azure, Amazon Bedrock, Together. Rewatch any of the developer sessions, product announcements, and Mark’s keynote address. Overview Chains Bridged TVL Compare Chains Airdrops Treasuries Oracles Forks Top Protocols Comparison Protocol Expenses Token Usage Categories Recent Languages Meta Llama 2 AI. This support encompasses model refinement and evaluation and incorporates optimizer tools like DeepSpeed and ORT (ONNX RunTime). This allows you to estimate your costs during 1) index construction, and 2) index querying, before any respective LLM calls are made. Step 3. This also Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. ago. Create a This is an OpenAI API compatible single-click deployment AMI package of LLaMa 2 Meta AI 13B which is tailored for the 13 billion parameter pretrained generative text model. Llama 2's pretrained models have been trained on an impressive 2 trillion tokens and its Dec 5, 2023 · Based on the pricing structure presented above for Llama 2 and GPT-4, you can estimate the cost based on the anticipated amount of usage or requests. I think the cost/benefit for Mistral models is even more apparent when considering the Anyscale endpoints cost: 0. Sep 7, 2023 · Llama and The Llama ecosystem. ”. Text Generation. 90. Analysis of API providers for Llama 2 Chat (7B) across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. Llama 2 is free for research and commercial use. Additionally, you will find supplemental materials to further assist you while building with Llama. Llama 2 models perform well on the benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with popular closed-source models. Based on these observations, it seems that utilizing the ChatGPT API might be a more affordable option. While each is labeled as Llama-2 70B for inference, they vary in key attributes such as hosting hardware, specific optimizations such as quantization, and pricing. Feb 21, 2024 · LLaMA-2 is Meta’s second-generation open-source LLM collection and uses an optimized transformer architecture, offering models in sizes of 7B, 13B, and 70B for various NLP tasks. Llama 3 will be everywhere. Tokens. The fine-tuned versions, called Llama 2, are optimized for dialogue use cases. Our optimised LLaMA 2 7B Chat API delivers 1000 tokens for less than $0. Oct 5, 2023 · For security measures, assign ‘read-only’ access to the token. Get faster inference at lower cost than competitors. Apr 23, 2024 · To test the Meta Llama 3 models in the Amazon Bedrock console, choose Text or Chat under Playgrounds in the left menu pane. $0. Llama 2 es la próxima generación del modelo Llama de Meta AI y está disponible para descargar en su sitio web. transparent pricing. This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters. Today, we’re introducing the availability of Llama 2, the next generation of our open source large language model. API providers benchmarked include Microsoft Azure, Together. org. 689 and a Quality Index across evaluations of 57. 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. 95, Output token price: $1. Set up the LLaMA API: Once you have the token, you can set up the If you could offer stable 70B llama API at half the price of ChatGPT API I would pay for it. Built on top of the base model, the Llama 2 Chat model is optimized for dialog use cases. Meta Code Llama. Please be patient as it may take 2 to 3 minutes for the entire setup to complete. Wow, this is amazing news! Llama 2 landing in Hugging Face Inference API is a game-changer for PRO and Enterprise Hub users. The price of Llama 2 depends on how many tokens it processes. Managed Ingestion API, handling parsing and document management. Quality: Llama 2 Chat (70B) is of lower qualitycompared to average, with a MMLU score of 0. •. This is the repository for the 13 billion parameter chat model, which has been fine-tuned on instructions to make it better at being a chat bot. 20: llama-3-sonar-small Ultra-low cost text generation API. For more information on using the APIs, see the reference This guide provides information and resources to help you set up Llama including how to access the model, hosting, how-to and integration guides. Activate the virtual environment: . 5 turbo at $0. Speed: Access Llama 2 AI models through an easy to use API. 127. Mistral-7B-v0. For example, while the 70B, which is the most advanced size of the Llama 2 model, has a score of 68. Import and set up the client. Moreover, users benefit from LoRA (Low-Rank Adaptation of Large Language Models Nov 13, 2023 · The Llama 2 base model was pre-trained on 2 trillion tokens from online public data sources. ai’s Mixtral 8x7B Instruct running on the Groq LPU™ Inference Engine outperformed all other cloud-based inference providers at up to 15x faster output tokens throughput. Basic. Close Navigation Menu. During inference 2 expers are selected. You can think of tokens as pieces of words, where 1,000 tokens is about 750 words. This is the repository for the 13B pretrained model, converted for the Hugging Face Transformers format. Learn more about running Llama 2 with an API and the different Apache-2. May 1, 2024 · Llama2 by Meta is an example of an LLM offered by AWS. 012 to run on Replicate, but this varies depending on your inputs. Feb 26, 2024 · Pricing Structure of LLaMA. Reply reply. Apr 20, 2024 · Below is a cost analysis of running Llama 3 on Google Vertex AI, Amazon SageMaker, Azure ML, and Groq API. Here is the OpenAI chatbot we will be migrating from: import openai. Sin embargo, el modelo Llama 2 solo está disponible para investigación y uso comercial. Let's build incredible things that connect people in inspiring ways, together. To reduce the cost, you can choose a smaller VM size or use Azure Spot VMs, which Jul 30, 2023 · Obtain a LLaMA API token: To use the LLaMA API, you'll need to obtain a token. Run meta/llama-2-70b using Replicate’s API. Detailed pricing available for the Llama 3 70B from LLM Price Check. ai, Fireworks, Deepinfra, and Replicate. Trained on a significant amount of Jul 18, 2023 · Llama 2 is a family of state-of-the-art open-access large language models released by Meta today, and we’re excited to fully support the launch with comprehensive integration in Hugging Face. An initial version of L Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Cost efficient GPT-3 API alternative. To fine-tune the model with Llama 2, you need to use the finetune function from the API. Llama 2 is being released with a very permissive community license and is available for commercial use. Start building with Llama using our comprehensive guide. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. com , is a staggering $0. • 10 mo. If you project a large number of API calls, you will need more powerful computing hardware – for example, GPU over CPU, more processor cores, and more memory – for your cloud infrastructure Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. 16 per hour or $115 per month. It has state of the art performance and a context window of 8000 tokens, double Llama 2’s context window. The price of LLaMA AI, specifically Llama 2, is as follows: 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. 100 83. On this page. ai, Fireworks, Replicate, and OctoAI. ai/pricing. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. Currently, LlamaCloud supports. Award. This function takes a dataset and a task as input and returns a fine-tuned model as output. Once you have the token, you can use it to authenticate your API requests. Resources. This endpoint has per token pricing. 29. You’ll find estimates for how much they cost under "Run time and cost" on the model’s page. TomorrowAfter7450. 4. Getting started with Meta Llama. Installation will fail if a C++ compiler cannot be located. meta-llama/Llama-2-70b-chat-hf. DeFi. In this article, we explore the cost implications, accessibility, and continuous support related to Llama 3, shedding light on how it’s set to revolutionize the field. Groq offers high-performance AI models & API access for developers. js app that demonstrates how to build a chat UI using the Llama 3 language model and Replicate's streaming API (private beta) . 39. Training Llama-2-chat: Llama 2 is pretrained using publicly available online data. If you project a large number of API calls Meet Llama. Links to other models can be found in the index at the bottom. 0. I know HN likes to believe everything is close to $0, but it is hardly the case. It comes in a range of parameter sizes—7 billion, 13 billion, and 70 billion—as well as pre-trained and fine-tuned variations. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks. 002 dollar for 1k token. Your inference requests are still working Get up and running with Llama 3, Mistral, Gemma 2, and other large language models. Mistral 7B is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. 20. See the example notebook for details on the setup. Tags: Azure, Azure AI, large language models, Llama 2, Meta, Microsoft Inspire Use one of our client libraries to get started quickly. const replicate = new Replicate(); Run meta/llama-2-70b-chat using Replicate’s API. Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 Aug 24, 2023 · It costs 6. , “Write a python function calculator that takes in two numbers and returns the result of the addition operation”). Aug 29, 2023 · Code Llama is a code-specialized version of Llama2 created by further training Llama 2 on code-specific datasets. To learn more about Llama 3 models, how to run Llama 3 with an API, or how to make Llama 3 apps, check out Replicate’s interactive blog post. Reply. It can generate code and natural language about code, from both code and natural language prompts (e. Use one of our client libraries to get started quickly. This is the repository for the 7B pretrained model. 79 in/out Mtoken. This is the 70B chat optimized version. The prices are based on running Llama 3 24/7 for a month with 10,000 chats per day. Learn more about running Llama 2 with an API and the different Oct 8, 2023 · Click on “Mistral 7B Instruct. Aug 16, 2023 · The addition of Llama 2 into Azure’s repository allows easy utilization without fussing over infrastructure or compatibility concerns. No charge on input tokens. This offer enables access to Llama-2-70B inference APIs and hosted fine-tuning in Azure AI Studio. Nov 30, 2023 · We have seen good traction on Llama-2 7B and 13B fine-tuning API. Cost Analysis. This repository is intended as a minimal example to load Llama 2 models and run inference. This means you can focus on what you do best—building your Sep 21, 2023 · For this guide, we will be migrating from a chatbot reliant on the OpenAI API to one that operates with the Llama 2 API. Llama-2 70B is the largest model in the Llama 2 series of models, and starting today, you can fine-tune it on Anyscale Endpoints with a $5 fixed cost per job run and $4/M tokens of data. Moreover, there are benefits of running Llama 2 on-device, which can save you money, protect your privacy, enhance your reliability, and enable your personalization. Open Navigation Menu. It seems that using api is much cheaper. const replicate = new Replicate(); I was just crunching some numbers and am finding that the cost per token of LLAMA 2 70b, when deployed on the cloud or via llama-api. All sizes of the Claude 3 model have higher scores in benchmarks than the Llama 2 model. In particular, LLaMA-13B outperforms GPT-3 (175B) on most benchmarks, and LLaMA-65B is competitive with the best models, Chinchilla-70B and PaLM-540B. Llama 2. Predictions run on Nvidia A40 (Large) GPU hardware, which costs $0. According to Meta, the training of Llama 2 13B consumed 184,320 GPU/hour. Open up your prompt engineering to the Llama 2 & 3 collection of models! Learn best practices for prompting and building applications with these powerful open commercial license models. 0 license Llama Chat 🦙 This is a Next. 00 per 1M Tokens (blended 3:1). Learn more. The code of the implementation in Hugging Face is based on GPT-NeoX This is an OpenAI API compatible single-click deployment AMI package of LLaMa 2 Meta AI for the 70B-Parameter Model: Designed for the height of OpenAI text modeling, this easily deployable premier Amazon Machine Image (AMI) is a standout in the LLaMa 2 series with preconfigured OpenAI API and SSL auto generation. We release all our models to the research community. LlamaIndex offers token predictors to predict token usage of LLM and embedding calls. Requests. ai, Perplexity, Fireworks, Lepton AI, Deepinfra, Replicate v0 Home Guides API Reference Changelog Discussions FAQ System Status Loading Price per million tokens; llama-3-sonar-small-32k-online* $0. The estimated cost for deploying Llama2 on a single VM with 4 cores, 8 GB of RAM, and 128 GB of storage is around $0. And such machines costs over 1 dollar per hour. That's what we're using at my company and it's a really good deal. 0. venv. 67. Install the latest version of Python from python. Managed Retrieval API, configuring optimal retrieval for your RAG system. js client library. This Amazon Machine Image is very easily deployable without devops hassle and fully optimized for developers eager to harness the power of advanced text generation capabilities. Experience the Ultimate in Conversational AI and Code Interaction with Meta Llama's Top Chat and Code API. * Real world cost may vary. Meta’s Llama 2 70B model in Amazon Bedrock is available in on-demand in the US East (N. For more detailed examples leveraging HuggingFace, see llama-recipes. Section — 1: Deploy model on AWS Sagemaker. Meta-Llama-3-8B-Instruct, Meta-Llama-3-70B-Instruct pretrained and instruction fine-tuned models are the next generation of Meta Llama large language models (LLMs), available now on Azure AI Model Catalog. See UPDATES. The code, pretrained models, and fine-tuned Nov 29, 2023 · You can now integrate the Llama 2 70B model in your applications written in any programming language by calling the Amazon Bedrock API, or using the AWS SDKs or AWS Command Line Interface (AWS CLI). This is the repository for the 7 billion parameter base model, which has not been fine-tuned. Meta Code LlamaLLM capable of generating code, and natural ChatGPT api only costs 0. Click and navigate to the “Vertex AI” service. llama-2-7b-chat-hf-lora Beta LoRA: This is a Llama2 base model that Cloudflare dedicated for inference with LoRA adapters. You can use different datasets and tasks to customize the model for your needs. 5$/h and 4K+ to run a month is it the only option to run llama 2 on azure. Note: Use of this model is governed by the Meta license. 00 /mo. Control the quality using top-k, top-p, temp, max_length params. kp uf xv vq lj tx si pu ii td