Related to Qwen
AI API change history
A record of API surface changes: endpoints, parameters and limits.
big cloud models like opus 5.5 get all the motion graphics praise, but i made this with local qwen3.8 flash next. it's very possible!
r/LocalLLaMA
Qwen3.8-Flash-Next vs Opus 5.5: Six-way benchmark on a real Rust feature with Claude Code and Pi
r/LocalLLaMA
KFlash: Benchmarks of newly released versions of Apple Silicon optimized engines: 1.4.0 Splash (DFlash2 ~ 50 tok/s) vs 0.2 Kapitsa (KFlash ~65 tok/s), MLX(MTP) & more on Qwen 3.8 27b/4b/35b 4Q on Macb
r/LocalLLaMA
ISTA-DASLab/Qwen3.8-Flash-Next-GSQ-RCO-Coder-GGUF updated
r/LocalLLaMA
Kapitsa: open-source Apple Silicon optimized Metal engine built for Qwen and Nemotron. See benchmarks of Qwen 27B, Nemotron + 8 other models on an M1 Pro (16GB), M4 Pro (48GB) and M5 Max (128GB)
r/LocalLLaMA
QUASAR 4-bit QAT checkpoints for Qwen3.5, Gemma 4 and Muse Glimmer: closer to BF16 than Google’s and NVIDIA’s 4-bit releases
r/LocalLLaMA
Qwen released QwenGyre - RL framework for training AI agents on extremely long complex tasks
r/LocalLLaMA
UPDATE: Qwen 3.8 27B 140 tok/s on single RTX 3090 Megakernel: KL divergence 0.0009 vs llama.cpp
r/LocalLLaMA
Qwen3.8-Flash-Next Strata pi beat Claude-code Opus 5.5 on a 5090
r/LocalLLaMA
Qwen-Image-2.1-Turbo released!
r/LocalLLaMA
A benchmark for LLMs playing Civilization V. GLM-5.3 is ahead of Opus-5.5, and Qwen-3.8-27B holds up surprisingly well.
r/LocalLLaMA
llama.cpp v0.6.0 released with MTP speculative decoding for Qwen4Exp and lots more
r/LocalLLaMA
Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset
r/LocalLLaMA
Two local Qwen ( 3.8 27b unsloth Q6 and Qwen flash next strata coder ) models vs Claude Opus 4.6 on the same 3 coding tasks. One of them tied it. Not here to start a fight, just sharing numbers
r/LocalLLaMA
Tuned/abliterated Qwen3.8-27b into a 24gb card 262k guff using the newest unreleased version of LexiPanel. It's fast with reliable draft acceptance. Made for 7900xtx but should work on whatever 24gb c
r/LocalLLaMA
Running 95.5 GiB Qwen3.8-Flash-Next at 41–52 tok/s on a 64GB Mac (1.76x faster than llama.cpp): Slipstream release, 130k context scaling, + Swift variant
r/LocalLLaMA
Two open-weights releases: Victoria (Qwen3.8-Flash-Next with 44% of experts cut, 70% Terminal-Bench 2.1, GGUF included) and Maple (a Canada-first fine-tune)
r/LocalLLaMA
[Release] GSQ-RCO GGUFs for Qwen3.8-Flash-Next, plus a 50% expert-pruned Coder build at ~1.89 bpw
r/LocalLLaMA
Qwen next 3.8 and 3.8 27b Vs Sonnet 5.5 low and Sonnet 5.5 medium.
r/LocalLLaMA
The Opus 5.5 posts about motion graphics are cool but Qwen 27B made this on a 4090
r/LocalLLaMA
R9V Update: Created and adopted KVA projections based on Deepseek V4.1 Flash + HySparse2/MiMo-V3 for Qwen3.8 Flash Next. This is a game changer for models that don't natively implement it. 1.45-1.85x
r/LocalLLaMA
Qwen-3.8-27B is good enough that I stopped using API
r/LocalLLaMA
Qwen-Image-2.1 released!
r/LocalLLaMA
Built a home server from an old PC with GPU upgrade. Qwen3.8 27B runs at ~30 tokens per second.
r/LocalLLaMA
[Release] SOTA GGUFs for Qwen3.8-Flash-Next: GSQ-RCO Providing Near Baseline Performance
r/LocalLLaMA