the Chinese AI lab also released a smaller, “distilled” version of its new R1, DeepSeek-R1-0528-Qwen3-8B, that DeepSeek claims beats comparably sized models on certain benchmarks
Most models come in 1B, 7-8B, 12-14B, and 27+B parameter variants. According to the docs, they benchmarked the 8B model using an NVIDIA H20 (96 GB VRAM) and got between 144-1198 tokens/sec. Most consumer GPUs probably aren’t going to be able to keep up with
7B is small enough to run it in FP8 or a Marlin quant with SGLang/VLLM/TensorRT, so you can probably get very close to the H20 on a 3090 or 4090 (or even a 3060) and you know a little Docker.
On my Mac mini running LM Studio, it managed 1702 tokens at 17.19 tok/sec and thought for 1 minute. If accurate, high-performance models were more able to run on consumer hardware, I would use my 3060 as a dedicated inference device
I’m genuinely curious what you do that a 7b model is “trash” to you? Like yeah sure a gippity now tends to beat out a mistral 7b but I’m pretty happy with my mistral most of the time if I ever even need ai at all.
Above is what I can do with deepsite by pasting in the first page of your lemmy profile and the prompt:
“This is double_quack, a lemmy user on Lemmy, a new social media platform. Create a cool profile page in a style that they’ll like based on the front page of their lemmy account (pasted in a ctrl + a, ctrl + c, ctrl + v of your profile).”
It not perfect by any stretch of the imagination, but like, its not a bad starting point.
7b trash model?
Most models come in 1B, 7-8B, 12-14B, and 27+B parameter variants. According to the docs, they benchmarked the 8B model using an NVIDIA H20 (96 GB VRAM) and got between 144-1198 tokens/sec. Most consumer GPUs probably aren’t going to be able to keep up with
Depends on the quantization.
7B is small enough to run it in FP8 or a Marlin quant with SGLang/VLLM/TensorRT, so you can probably get very close to the H20 on a 3090 or 4090 (or even a 3060) and you know a little Docker.
It proved sqrt(2) irrational with 40tps on a 3090 here. The 32b R1 did it with 32tps but it thought a lot longer.
On my Mac mini running LM Studio, it managed 1702 tokens at 17.19 tok/sec and thought for 1 minute. If accurate, high-performance models were more able to run on consumer hardware, I would use my 3060 as a dedicated inference device
I’m genuinely curious what you do that a 7b model is “trash” to you? Like yeah sure a gippity now tends to beat out a mistral 7b but I’m pretty happy with my mistral most of the time if I ever even need ai at all.
it’s distilled so it’s going to be smaller than any non distilled of the same quality
Yeah idk. I did some work with deepseek early on. I wasn’t impressed.
HOWEVER…
Some other things they’ve developed like deepsite, holy shit impressive.
Save me the search, please. What’s deepsite?
https://tmpweb.net/nmS9uRBAENhQ/
Above is what I can do with deepsite by pasting in the first page of your lemmy profile and the prompt:
“This is double_quack, a lemmy user on Lemmy, a new social media platform. Create a cool profile page in a style that they’ll like based on the front page of their lemmy account (pasted in a ctrl + a, ctrl + c, ctrl + v of your profile).”
It not perfect by any stretch of the imagination, but like, its not a bad starting point.
if you want to try it: https://huggingface.co/spaces/enzostvs/deepsite
Excuse me… what? Ok, that’s something…
Here I’m DM"ing you something. Its very personal, but I want to share it with you and I made it using Deepsite (in part).
👀
Ok