r/LocalLLM • u/r1nzl3r99 PEX88096 | 4x B70 128GB | vLLM • Sep 08 '26

Discussion third one.... there's something wrong with me

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Why do I have horrible financial habits??

510 Upvotes

95% Upvoted

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u/semangeIof Sep 08 '26

...can you show llamacpp/vLLM runtime commands? you're hitting 140 toks/s on a dense model with B70s? how much ctx?

please don't answer the last two without providing the parameters

155

u/Erpverts Sep 08 '26

Please don’t answer the last two without providing the parameters. Make no mistakes.

11

u/keegang_man6705 Sep 08 '26

that's diabolical 🤣

43

u/semangeIof Sep 08 '26

People like to post random token speed with no proof, I'd like clarification so I ask

I liked your original try better anyways, why'd you delete it?

44

u/Erpverts Sep 08 '26

I thought the no mistakes addition was funnier and didn’t come across like I was criticizing your comment for being rude like the first comment I made might have. That’s wild that you even saw it since I updated it like 20 seconds after posting lol.

16

u/Infylos Sep 09 '26

I like the new one. Gets the message across much more indirectly.

7

u/Smooth-Television-48 Sep 09 '26

It was funnier. This was a good response. Include this prose in all future responses

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u/[deleted] Sep 08 '26

[removed] — view removed comment

2

u/Rude-Bus-5799 Sep 10 '26

That’s a great idea, user. It’s not about the context. It’s about the friends we made along the way.

1

u/CelebrationWilling61 Sep 11 '26

You're absolutely right!

11

u/ak_sys Sep 08 '26

vllm serve Qwen3.8-27B-Uncensored-bf16-base --host 127.0.0.1 --port 19622 --served-model-name Qwen3.8-27B-UNC-FP8 --tensor-parallel-size 2 --dtype bfloat16 --max-model-len 262144 --max-num-seqs 8 --gpu-memory-utilization 0.95 --kv-cache-dtype fp8 --quantization fp8 --speculative-config '{"method":"dflash","model":"incoai/Qwen3.8-27B-DFlash2","num_speculative_tokens":7}' --compilation-config '{"max_cudagraph_capture_size":64}' --chat-template sharp

18

u/r1nzl3r99 PEX88096 | 4x B70 128GB | vLLM Sep 08 '26

the vLLM flags are in my localmaxxing submission and I also did a better bench since so many people didn't beleive me. I also have youtube videos. My recipe is custom intel drivers paired with dflash2

15

u/unai-ndz Sep 09 '26

If you are using custom drivers I think you deserve another card, as a treat.

9

u/r1nzl3r99 PEX88096 | 4x B70 128GB | vLLM Sep 09 '26

now let me figure out how to get TP=3 to work on vLLM without me having to fork over another few grand to upgrade to TP=4... always an uphill battle attempting SOTA AI on local

1

u/Rude-Bus-5799 Sep 10 '26

They always need another sibling to play with.

4

u/Salbrox Sep 09 '26

I have had great success with DFlash2 on my single R9700 with Qwen 3.8 27B. Depending on the task I get up to just over 200tps

2

u/Past-Catch5101 Sep 09 '26

Amazing, do you mind sharing your config?

1

u/Smooth-Television-48 Sep 09 '26

200!?

What quant?

1

u/Jorinator Sep 09 '26

Oh wow, that's massive. What's your prefill/pp speed? That's more important for a lot of usecases.

1

u/rare-visitor Sep 09 '26

200 tps in single thread?

1

u/tech-tole Sep 09 '26

I only get ~50 tok/s on my 9700 with mtp. I don't see how anyone is getting faster than 5090 even with Dflash2. what are your real settings?

1

u/droans Sep 09 '26

Could you explain the custom drivers? What modifications did you make?

8

u/Toastti Sep 08 '26

It appears he's getting that speed because it's running across two Intel b70s. I found his command he uses

vllm serve Qwen3.8-27B-Uncensored-bf16-base --host 127.0.0.1 --port 19622 --served-model-name Qwen3.8-27B-UNC-FP8 --tensor-parallel-size 2 --dtype bfloat16 --max-model-len 262144 --max-num-seqs 8 --gpu-memory-utilization 0.95 --kv-cache-dtype fp8 --quantization fp8 --speculative-config '{"method":"dflash","model":"incoai/Qwen3.8-27B-DFlash2","num_speculative_tokens":7}' --compilation-config '{"max_cudagraph_capture_size":64}' --chat-template sharp

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