It was better than any open model for copywriting - was precise, punchy, didn't use any negative words, the hook quality was great, Review collected by and hosted on G2.com.
It does sometime hallucinate with data, making up numbers Review collected by and hosted on G2.com.
It’s easy to use. I’m currently using it as a local model, and I’ve shared local docs so it can help me get quick answers to specific programming questions. Review collected by and hosted on G2.com.
It’s probably not the model itself; it seems more like the local installation performance on that specific workstation is a bit cumbersome. Review collected by and hosted on G2.com.
It’s optimized for fast local execution, and I run it using LMStudio. Review collected by and hosted on G2.com.
Nothing comes to mind at the moment. I’ve upgraded to the Llama 3.3 70B size. Review collected by and hosted on G2.com.
It’s a lightweight model that works well on my local machine, including machines without a GPU. Review collected by and hosted on G2.com.
Since the model has a low parameter count, there are certain tasks it can handle, but for other tasks we still need to rely on bigger LLMs. Review collected by and hosted on G2.com.
It’s lightweight and doesn’t require much computational power. Review collected by and hosted on G2.com.
The context window feels too limited, and the model’s knowledge seems outdated. Review collected by and hosted on G2.com.
What I found is that its performance is really well, I guess because its storage is not that big. Anyways, for daily text creations, summarizing something, it's really helpful on day-to-day AI task-related activity. Review collected by and hosted on G2.com.
I found sometimes the responses should be double-checked before answering the complicated questions. It works fine for straightforward questions but didn't provide a mature answer for slightly tricky questions. Review collected by and hosted on G2.com.
For smaller tasks which needs quicker resolution this is very useful Review collected by and hosted on G2.com.
We need to fine tune this for our use case to get a better result Review collected by and hosted on G2.com.
It’s lightweight and fast, easy to run locally, and it uses fewer system resources while still delivering good responses for everyday tasks. Review collected by and hosted on G2.com.
It can struggle with complex reasoning and more advanced coding tasks, and its responses may sometimes lack the accuracy and depth you’d get from larger models. Review collected by and hosted on G2.com.
It is highly compatible nd has good quality to size ratio, is optimized to run on mobile,computer, it has good text generation Review collected by and hosted on G2.com.
It is weak in coding and advance maths, it lacks vision support, hallucinations are high Review collected by and hosted on G2.com.
The model is small enough to run on a consumer-grade graphics card, which is a big plus. With a decent Nvidia graphics card, you can get around 20–30 tokens per second, which makes it feel quite responsive. Review collected by and hosted on G2.com.
When I’m trying to do real work that requires some logic, it doesn’t feel as capable or intelligent as a larger language model. It doesn't feel as good in complex reasoning. Review collected by and hosted on G2.com.
Averages based on real user reviews.
3 months
7 months