Qwen news — every headline, updated every 15 minutes | helucino

1h
Qwen3.8-27B MTP quants on Apple M5 Max — which one is actually worth it?
r/LocalLLaMA
4h
How bad do you think models like Qwen3.8-27B or GLM-5.3-Flash would be with H-Neurons disabled?
r/LocalLLaMA
4h
vote for the Qwen 3.8
r/LocalLLaMA
6h
Qwen3.8-Next-Flash up to 240t/s on single rtx 6000 pro
r/LocalLLaMA
7h
Does it make sense to quantize Qwen 3.8 myself when UD 3.0 exists?
r/LocalLLaMA
7h
How I got Qwen 3.8 27b running at ~75t/s decode on 16GB RTX 5080
r/LocalLLaMA
8h
Qwen3.8-Flash-Next on a 96GB Mac Studio (here's my memory math, tell me where it's wrong)
r/LocalLLaMA
8h
LWiAI Podcast #255 - Gemini 3.7, Jalapeño, Qwen 3.8, Drones
Last Week in AI
9h
ROCm 10 + llama.cpp + Qwen3.8 27B Q8 K XL with MTP on 2xR9700
r/LocalLLaMA
12h
GLM 5.3, GLM 5.3 Flash or 3.8 Qwen Flash for Replacing Kimi k3 IQ2_XXS
r/LocalLLaMA
15h
Optimal 1.25 bit quantization of Qwen3.8-Flash-Next
r/LocalLLaMA
15h
R9V: A designer set of kernels I've been working on for R9700s/RDNA4. Qwen3.8-Flash-Next Unsloth IQ4_XS (w/ TP on 2 R9700s, MTP, SSD n-gram, 128k ctx, vision): TG256 of *78 tok/s* (~3x increase), PP8192 of *1510 tok/s* (~30x increase).
r/LocalLLaMA
15h
Qwen3.8-Flash-Next-NVFP4 vs Qwen3.8-27B-FP Test Results
r/LocalLLaMA
17h
Calculate --override-tensor for llama.cpp using QWEN models and Pi for 2 GPU
r/LocalLLaMA
19h
Qwen 3.8 27B - Fantastic German capabilities
r/LocalLLaMA
21h
Qwen3.8-27b-UD-IQ3XXS - End to end Build App -> Prompt Flow-> Test to Image -> Image to Video - Stitch
r/LocalLLaMA
22h
1x32GB V100 vs 2x16GB V100 vs 5060ti 16GB for QWEN 3.8
r/LocalLLaMA
22h
Here my pretty good qwen3.8 27B setup, hope it helps
r/LocalLLaMA
22h
Which is better ninfer vs vllm for Qwen 3.8 27B on RTX 5090?
r/LocalLLaMA
23h
for qwen27b and gemma4-31b-QAT, what words to use in the prompt that you found it can change the model behavior?
r/LocalLLaMA
23h
Qwen 3.8 Flash Next locally on simple mobile phone at 3.5 tok/s
r/LocalLLaMA
23h
Qwen Flash Q4_K_M on 4080 + 64GB DDR5 at ~8tk/s 98304 CTX.
r/LocalLLaMA
23h
Unpopular opinion Qwen 3.8 is hard to understand
r/LocalLLaMA
1d
Qwen3.8-Flash-Next turns 4xR9700 into a local AI powerhouse! 120 t/s TG and 12k t/s PP single request with optimized vLLM
r/LocalLLaMA
1d
Best settings for harness work with llama.cpp + qwen 3.8
r/LocalLLaMA
1d
Given that 51B of n-grams can stay on the SSD disk, Qwen 3.8 Flash Next with a 2 bit quantization could be the best DwarfStar bet for a 64GB MacBook…
antirez (Bluesky)▴66
1d
Uncensored Multi-Model Releases, LongCat-Flash-Lite-Sparse with MTPs and LSAs, Qwen3.8-27B with MTPs, Qwen3.5-122B-A10B with MTPs, Qwen3-Coder-Next and Laguna-S2.1 with Vision, All Available in GGUF Format! Bonus: Links to my llama.cpp Fork for LongCat-Flash-Lite Support and J-Wash Enhanced Fork!
r/LocalLLaMA
1d
Qwen3.8-Flash-Next NVFP4 2xDGX Spark config: 50t/s decode, 2,900t/s prefill
r/LocalLLaMA
1d
Qwen 3.8 Flash Next Q6_K_XL loads OK on 4 x 3090.
r/LocalLLaMA
1d
Experience report - Qwen 3.8 Flash Next on memory rich, GPU poor setup
r/LocalLLaMA
1d
Some people said the Minecraft clone I fully vibecoded with Qwen3.8-27B Q4 is not that impressive because Minecraft is in the training data, so I had the model add 4 things that are probably not.
r/LocalLLaMA
1d
Qwen3.8-Flash-Next at 170K context on a single 96 GB card. ~110 tok/s.
r/LocalLLaMA
1d
Qwen3.8-Flash-Next NVFP4 Day-3 support for 4xV100
r/LocalLLaMA
1d
Qwen3.8-Flash-Next optimised for Macs
r/LocalLLaMA
1d
an unscientific qwen 3.8 flash next and glm 5.3 flash comparison
r/LocalLLaMA
1d
Ran Qwen3.8-Flash-Next (79 GB, 2-bit) at 350K ctx for 3.5 hours on a 128 GB M5 Max — speed vs context depth, 100 turns, one graph
r/LocalLLaMA
1d
Any reason to use Qwen 3.8 Next UD IQ1_S over Qwen 3.8 27B UD Q4?
r/LocalLLaMA
1d
Qwen3.8-Flash-Next protip tensor-read-lazy on requires load-mode mmap
r/LocalLLaMA
1d
Tenstorrent Qwen3.7-27b Benchmarks
r/LocalLLaMA
1d
Qwen3.8-27B thinking xhigh Vs. thinking off - Apple M5 Max
r/LocalLLaMA
1d
(NInfer Fork) I wanted to have a 1M context Qwen-3.8 27B, tp2, dual 5090s
r/LocalLLaMA
2d
I’ve pushed llama.cpp pretty far for Qwen3.8-Flash-Next — is there any reason not to move to vLLM for 200K+ context?
r/LocalLLaMA
2d
Qwen3.8 Flash Quants
r/LocalLLaMA
2d
Qwen 3.8 27B at 50 tok/s with 100k Context on a 16GB GPU! (beellama.cpp)
r/LocalLLaMA
2d
Different Qwen thinking levels
r/LocalLLaMA
2d
Saved my fiances phone with qwen 3.8 27b
r/LocalLLaMA
2d
Qwen 3.8 Flash Next ngram look up table offloaded to SSD and streamed in SGLang
r/LocalLLaMA
2d
AtomicChat/Qwen3.8-Flash-Next-GGUF is Really Good
r/LocalLLaMA
2d
Is it worth running Qwen 3.8 Flash Next on 4x3090 vs 27B?
r/LocalLLaMA
2d
Today I hit 181 toks/s (aggregate) on Qwen3.8-Flash-Next on 2x DGX Sparks
r/LocalLLaMA
2d
[Release] SOTA GGUFs for Qwen3.8-27B: GSQ-RCO at 2.5 to 3.0 bpw
r/LocalLLaMA
2d
Qwen3.8-27B on a 24GB RTX PRO 4000 Blackwell: 128K real context, 785 tok/s prefill, 67 tok/s MTP3 decode
r/LocalLLaMA
2d
GLM-5.3-Flash vs Qwen3.8-Flash-Next: Two Chinese AI Labs Independently Converge on the Same Model Architecture
MarkTechPost
2d
I benchmarked 9 open models on spotting fake sources during agentic search (DeepSeek V4, Qwen 3.8, Nemotron 3 Ultra)
r/LocalLLaMA
2d
ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF — text generation released on Hugging Face
Hugging Face models
2d
Local agentic coding Benchmark : Qwen3.8-Flash-Next NVFP4 vs 27B (and the others...)
r/LocalLLaMA
2d
How bad is Qwen 3.8 27b Q2 XXL?
r/LocalLLaMA
3d
Qwen3.8 27B int4 with Dflash2 at 165t/s and 18M kv cache pool on dual 3090
r/LocalLLaMA
3d
Qwen3.8-Flash on RTX3090 + 64GB RAM (but you only need 12GB VRAM)
r/LocalLLaMA
3d
Run Qwen3.8 27B locally: real numbers from my Mac Studio
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