3 ms·

yeah, then theres prompt loading too. but anyone who can fit QWEN-3.6 35B with a sustained ~30 token/s and ~100k context with cache could print money as a hard

yeah, then theres prompt loading too. but anyone who can fit QWEN-3.6 35B with a sustained ~30 token/s and ~100k context with cache could print money as a hardware vendor.

wmf 5mo ago
That just sounds like a 3090.
- cyanydeez 5mo ago
  not at the vram sizes that control how much context to load; also, GPUs arn't as effiecient as direct inference.
  - wmf 5mo ago
    OK, B70.
upboundspiral 5mo ago
with llama-cpp and offloading non-active experts (from MOE architecture) to cpu RAM, you can easily run 50 tok / s QWEN-3.6 35B on 8-12 GB of VRAM. KV cache is a few GB, experts are ~3-5 GB (assuming q8 quant from Unsloth for example). You can scroll through r/localllama and find tons of people getting useable speeds out of Qwen 35B. 24 tok / second on an ancient 1080ti https://old.reddit.com/r/LocalLLaMA/comments/1tcc7h5/24_toks_from_30b_moe_models_on_an_old_gtx_1080_8/ https://old.reddit.com/r/LocalLLaMA/comments/1tcc7h5/24_toks... 100 tok / second on a 4070 https://old.reddit.com/r/LocalLLaMA/comments/1tjh7az/110_toks_with_12gb_vram_on_qwen36_35b_a3b_and_ik/ https://old.reddit.com/r/LocalLLaMA/comments/1tjh7az/110_tok...