Lllama Reviews & Product Details

What I like best is how natural and accurate the text generation is. We use Llama 3 70B through an internal tool connected to our CRM and website content system, mainly for drafting customer communications, refining service descriptions, and preparing product documentation. It understands our context well especially when explaining our telecare solutions to different customer groups. The clarity and fluency it brings to our communication make a big difference in how we present our products to end users. Review collected by and hosted on G2.com.

It can sometimes sound too formal or “robotic” in tone, especially in customer-facing messages. We usually need to make small edits to make it sound warmer and more human. Also, when dealing with very technical internal notes (for example, about device integration or support workflows), it sometimes oversimplifies details. Review collected by and hosted on G2.com.

What I appreciate most is how balanced and reliable it is for professional use. We use Llama 3 70B mainly through our internal workspace accounts to create marketing content, assist in drafting client proposals, and summarize documentation for our telecare services. It’s very fast, understands context extremely well, and helps us keep communication consistent with our company’s tone and values. It also handles technical product descriptions without losing clarity Review collected by and hosted on G2.com.

Sometimes it can produce text that sounds a bit too generic or cautious, especially when we need a more persuasive marketing tone. We also noticed that fine-tuning or adjusting prompts takes a bit of trial and error before getting exactly the result we want. Other than that, the model is very stable and performs well. Review collected by and hosted on G2.com.

What I like most is its balance between accuracy, speed, and cost. Llama 3 70B generates very natural and professional content ideal for product descriptions, customer communication, and drafting emails for potential clients. It’s easy to integrate into our existing workflow, and the results often require very little editing. The model also handles multilingual tasks well, which helps since we communicate with clients in both Portuguese and English Review collected by and hosted on G2.com.

Sometimes the model can be a bit too verbose or formal, especially when creating short promotional content. It also requires some fine-tuning to match our company’s tone. Another small downside is that it demands good prompt design to get consistent results but once you learn how to guide it, it performs very well Review collected by and hosted on G2.com.

1. Cost Efficiency

No licensing fees allows you to experiment and deploy without the financial weight of commercial APIs (like OpenAI or Anthropic).

Ideal for MVPs and internal tools.

2. Full Control & Customization

You can fine-tune the model on your domain-specific data (e.g., legal, medical, support).

Customize safety layers, filtering, and response style—tailored to your clients or internal workflows.

3. On-Premise Capability

Deploy on your own servers or edge devices.

Crucial for clients with strict data privacy or regulatory requirements (e.g., healthcare, finance, or in your case, lab/compliance under IVDR). Review collected by and hosted on G2.com.

1. High Setup & Infrastructure Cost. Might stretch your current infra/resources.

2. No Out-of-the-Box Safety. Unlike proprietary models, LLaMA 3 needs careful prompt filtering, moderation, and alignment layers - more responsibility on you. Review collected by and hosted on G2.com.

Best opensource LLM that have potential to become personal AI assistant. Review collected by and hosted on G2.com.

Still struggle to find out my language I am using. Review collected by and hosted on G2.com.

It's lightweight and Free to use as compared to other costly models. It is easy to install using Ollama and provides almost every other renowned brands like OpenAI's ChatGPT Review collected by and hosted on G2.com.

The main disadvantage of Meta LLama 3 is that we need to download it in our local first using Ollama, so our HDD or SSD space is occupied. Review collected by and hosted on G2.com.

Meta Llama 3 is pre-trained model with size of 8B to 70 B parameters which is useful to generate contents with more accuracy. What I like about this model is its performance which generate the content for given prompt and context in milliseconds. Also it is easy to use while using Python for AI use case development. Review collected by and hosted on G2.com.

While I did not oberve any downside while using this model in our use case, documentation for Meta Llama 3 says that testing done for this model does not cover all the scenarios. It will be great if model could be tested for all possible scenarios as it will make it more robust. Review collected by and hosted on G2.com.

Llama 3 has improved significantly over Llama 2 (Meta's previous generation LLM), and I have found it to be useful for multiple business use cases, such as Prompt Engineering, Agentic Workflows, Retrieval-Augmented Generation, and even for local Supervised Fine-tuning. The response quality, ability to follow instructions and even its ability to be tweaked to follow certain output formats is very good.

The best part is all the quality is free and open-source, so it can definitely serve as a good workhorse LLM while more complex requirements are reserved for OpenAI's GPT LLMs. Review collected by and hosted on G2.com.

Not as much of an improvement in terms of unique differentiability as I would have enjoyed - it's still fairly at the same level as Mistral Review collected by and hosted on G2.com.

Meta Llama 3 is fantastic at understanding and responding to natural language, making conversations feel smooth and natural. It's highly accurate than previous versions of Llama and gives relevant answers, which boosts productivity and user experience. It also intergrates with development applications. Plus, it's easy to customize for different uses because of the variations 7B,13B based on their personal projects or business needs. Review collected by and hosted on G2.com.

Meta Llama 3 can be quite complex and might be hard for beginners to use without a lot of training or good documentation. Sometimes, there are delays in responses, especially during busy times, which can be frustrating. Better customer support and an easier learning process would help new users a lot. Review collected by and hosted on G2.com.

I do love that they've incorporated it onto facebook to make it easy to edit posts. According to the ChatBot him/herself/themselves, Llama is designed with safety in mind, which means this bot is less likely to provide harmful or offensive responses (compared to other popular ones like chatgpt). I am not sure how accurate that is, but it didn't provide me with any harmful or offensive responses. Review collected by and hosted on G2.com.

It doesn't have plugins or a voice assistant like chatgpt does. Review collected by and hosted on G2.com.