This is my upgraded rig:
- Ryzen9 5950x with 64gb DDR4
- Dual NVIDIA RTX A4000 (16+16GB VRAM)
to whom read my previous posts, i jumped the gun and upgraded my server, it was worthwhile and somewhat cheap given i already had the two GPUs and the DDR4 RAM.
Anyway, i am currently running Qwen3.6-35B-A3B-UD-Q5_K_XL all in VRAM with 65536 context and pretty happy with speed (80-90t/s) and overall responses (mostly chat).
I would like to experiment with something beefier, with CPU offload, that i can run with my llama.cpp. Of course t/s is not a goal here, but precision and accuracy of responses is.
I tried to find a good model with claude and gemini, but always got short. Once the model suggested fully crashed my server (guess fill up RAM and ended up in a swap loop), more then once i ended up chasing non existent models. Pretty annoying.
Considering i would only use between 32 and 48GB or system RAM, can you suggest (preferably with links to HF) some models?
I like qwen3.6, but open to anything.
someone should release something that fits in 96-128gb. Hy 3, mimo, deepseek flash are all close but 256gb (or at least more than 128gb for q4) for high context is requried. Qwen is already at 3.8, but I don’t think have updated their smaller models. I assume you’ve tried q8 version of 3.6, and prefer the larger context window?