AINewsnow

What's your favorite medium to large (~50-150b params) MOE model? Aside from Qwen flash next.

This story is from 2026-10-22. It is preserved in the archive; the latest stories are on the live feed.

I recently got some more RAM on my desktop, which has opened up running larger MOEs by splitting them into RAM/VRAM. I know everyone loves Qwen flash next, but I'm curious what other ones are worth trying. On my list of to-try, I have: GPT OSS 120b (is this still usable nowadays?) Mistral 4 small 1…

Read the full story at r/LocalLLaMA ↗

Timeline · 8 reports

  1. 2026-10-24 23:53 · r/LocalLLM
    Qwen 3.8 Flash Next on 9060 XT 16GB
  2. 2026-10-24 15:21 · r/LocalLLaMA
    8 GB GPU, 262K context 3.5 BPW Qwen-Flash-Next Coder 70 T/s using llama.cpp
  3. 2026-10-23 16:16 · r/LocalLLaMA
    agentionai/Qwen3.8-Flash-Next-Gyro-Coder-GGUF · Hugging Face
  4. 2026-10-23 15:41 · r/LocalLLaMA
    Qwen 3.8 Flash Next Gyro Coder is out!
  5. 2026-10-23 03:56 · r/LocalLLaMA
    Deepseek V4.1-1017 - doing okay on RDNA2/3 + DDR4
  6. 2026-10-22 23:47 · r/LocalLLaMA
    Qwen 3.8 Flash Next (129 GB) is better than 2.6 bpw DeepSeek V4.1 Flash 1017 (187 GB + 203 GB Engram)
  7. 2026-10-22 15:27 · r/LocalLLM
    Qwen 3.8 Flash Next (Q4) got stuck on this loop for hours. I wonder if this is the AI equivalent of having a nightmare and not being able to wake up
  8. 2026-10-22 03:44 · r/LocalLLaMA
    What's your favorite medium to large (~50-150b params) MOE model? Aside from Qwen flash next.

More stories

  1. Qwen 3.8 Flash Next (Q4) got stuck on this loop for hours. I wonder if this is the AI equivalent of having a nightmare and not being able to wake up — r/LocalLLM
  2. DeepSeek V4 Flash API prices compared across providers (Oct 2026) — r/huggingface
  3. Benchmark: Recursive's Flint 40B A2.5B Q4 achieves 128 tok/s on MacBook Pro M4 Pro 48GB using Kapitsa, an open-source Apple Silicon optimized engine, Claude/Codex/Pi/OpenCode compatible. — r/LocalLLaMA
  4. It is not clear to me which parameter we should use for LoRA training—shift or sigmoid—in the new models (Qwen 2.1, LLaMA 2, and MOSS) within the AI ​​toolkit. — r/comfyui
  5. webgpu : add Q2_0 support by teddygood · Pull Request #30914 · ggml-org/llama.cpp — r/LocalLLaMA
  6. Is 128GB RAM worth it? — r/LocalLLaMA
  7. Kimi K3.1 Pro and Kimi K3.1 Pro Highspeed are available now in AI Gateway — Vercel Blog
  8. What OpenAI, Anthropic, Mistral and Meta actually ask in AI engineer interviews — DEV Community — Machine Learning

Get the daily brief of stories like this at 6:30 every morning →