Économies mesurées sur 11 LLMs — Claude Opus 4.7 à Gemini Flash.→ Voir les données par modèle
Connecter votre client
Tooling

ik_llama.cpp achieves 110 tok/s on 12GB GPU with Qwen 35B

A developer benchmarked ik_llama.cpp against standard llama.cpp on an RTX 4070 Super and found speculative decoding throughput jumped from 89.76 tok/s to over 110 tok/s using the same Qwen3.6-35B model.

1 min read

A developer running local inference on an RTX 4070 Super 12GB GPU reported that switching from llama.cpp to ik_llama.cpp for speculative decoding increased throughput to 110 tokens per second on...

Sign in to read the full analysis

Free — just an email. Get full analysis on LLM unit economics, plus the weekly Cost-of-Inference column.

Method & sources
Source type
Primary publication (lab/vendor blog) — our analysis + implication
Source link
r/localllama
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
Correction?
corrections@gotcontext.ai
ik_llama.cpp achieves 110 tok/s on 12GB GPU with Qwen 35B — gotcontext.ai