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.
Qwen 3.8 27b is about to come out and you should absolutely try that when Unsloth has a Q6_K version… It will be the best local coding model at that size.
I am very fond of this specific model for 32 GB of VRAM and it will probably be the best agentic thing you can run including your ram.
https://huggingface.co/SC117/Ornith-1.0-35B-MTP-APEX-GGUF
Go into files and pick balanced if you’re doing complex agentic work with nuance or pick quality if you want to fit the model and 262k context in VRAM.
If you really want to mess with cpu offloading, try unsloth/Laguna-S-2.1-GGUF at q4_k_m. Its the perfect shape and size to work on your setup. Look into getting dflash working on it. You should be pushing 40tks by my estimate.
Keep an eye out for Ling-3.0-flash-GGUF to be officially supported. It’s similar in shape to Laguna but it’s supposed to be much smarter