@Tono_Ken3: On GPU, driving Qwen3.6-27b (100 TPS) and on CPU, Hy3-299B (25 TPS) simultaneously The dawn of a new era in local LLM i…
Summary
Demonstration of running Qwen3.6-27b on GPU at 100 TPS and Hy3-299B on CPU at 25 TPS simultaneously, marking a milestone in local LLM inference.
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@cniongolo: I’m not sure people realize yet that you can actually run Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MTP-GGUF on a dua…
Demonstrates running a custom Qwen model (Qwen3.6-35B-A3B-Claude-4.7-Opus-abliterated-MTP-GGUF) on dual Nvidia RTX PRO 6000 Blackwell GPUs at 195 tokens per second using Hugging Face Inference.
@TeksEdge: Solved! Qwen3.6-27B-FP8 is now running on Intel Arc Pro B70! LocalMaxxing shows a working 4× Arc Pro B70 32GB run at ~5…
Qwen3.6-27B-FP8 model is now running on Intel Arc Pro B70 GPUs at ~50 tok/s with a vLLM bug fix, marking a significant milestone for Intel GPU local AI inference.
Running Qwen3.6 35b a3b on 8gb vram and 32gb ram ~190k context
The author shares a high-performance local inference configuration for running Qwen3.6 35B A3B on limited hardware (8GB VRAM, 32GB RAM) using a modified llama.cpp with TurboQuant support, achieving ~37-51 tok/sec with ~190k context.
@ItsmeAjayKV: Achievement Unlocked: Running Qwen3.6-27b dense Thanks to the RTX 3090, now I can do this. Running @Alibaba_Qwen Qwen 3…
User benchmarks Qwen3.6-27B on an RTX 3090 using llama.cpp, achieving 35 tok/s generation and 1247 tok/s prompt processing.
@rumgewieselt: Now its getting crazy ... 3x 1080 Ti (Pascal, 33GB VRAM) Qwen 3.6 27B MTP with 196K TurboQuant ~28-30 t/s consistently
A user demonstrates successful local inference of a 27B parameter Qwen model across three GTX 1080 Ti GPUs, achieving approximately 28-30 tokens per second using TurboQuant optimization.