14/05/2026 6:25 am
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Honestly I'm about at my wit's end with this DeepSeek V4 Flash setup. I've spent the last three nights trying to get it running smooth on my home server—I'm using dual 3060s since that's all my budget allowed after the holidays—and it's just been a nightmare. Every time I think I have the right GGUF file it either crawls at like 2 tokens per second or the quality is just total garbage and it starts hallucinating random C++ code in the middle of my python scripts. I'm trying to build a real-time dev tool for my freelance gig and I need this working by Monday but man I am struggling.
I tried some 4-bit AWQ thing I found on HuggingFace but it kept throwing OOM errors after ten minutes of use and honestly im just fed up with the trial and error. I just want something that hits that sweet spot of speed and logic. I don't want to lose the reasoning capabilities but I can't wait thirty seconds for a response every time. I'm located in a pretty rural area too so my internet isnt great for constant large downloads to test every single version.
- is GGUF still the way to go for this specific model
- should I be looking at EXL2 instead if I can fit it on the VRAM
- does bitsandbytes 4-bit actually hold up for V4 Flash or is it too lossy
Does anyone actually have this thing running fast without it losing its mind because I'm about ready to just give up and pay for the API at this rate...
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14/05/2026 6:25 am
man i feel your pain. setting up deepseek v4 on local hardware can be a total grind. i have been running models on dual NVIDIA GeForce RTX 3060 12GB GDDR6 setups for a while and in my experience the quantization method completely changes the experience.
- EXL2: this is the gold standard for speed on nvidia cards. if you can find a 4.0bpw or 4.25bpw version it will absolutely fly compared to gguf. it handles the split between two cards way better than other formats.
- GGUF: good for compatibility but the overhead on dual gpus usually kills the speed. that 2 t/s you are seeing is classic gguf bottlenecking when it isnt configured perfectly.
- bitsandbytes: honestly dont bother for coding. it is too lossy and you will keep getting those weird logic errors or random code snippets you mentioned. id grab an exl2 quant for your dev tool. it should hit that sweet spot of speed and reasoning without the OOM headaches.
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14/05/2026 6:50 am
honestly, i went through a similar headache when i first tried running logic-heavy models on my NVIDIA GeForce RTX 3060 12GB GDDR6 pair. i spent a whole weekend thinking my vram was failing but it was just the overhead from the quant method. bitsandbytes 4-bit is okay if you just want to chat, but for coding? yeah, it gets real dumb real fast. the reason your awq setup crashed is probably the activation spikes hitting that 12gb limit per card... i found that for deepseek specifically, sticking with a Q4_K_M GGUF is the safest bet for stability even if it feels slower than exl2 sometimes. it keeps enough of the brain intact so it wont spit out random c++ in your python scripts. the trick is making sure you split the layers evenly between the two cards in your loader settings so one doesnt just choke and die while the other sits idle. definitely skip the bnb 4-bit for dev work tho, the logic rot is real.
