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Benchmarked Kokoro 82M vs Supertonic 3 TTS on CPU
Wanted a real head to head on the two TTS models that actually run well on CPU. Couldn't find one wi…
What happens to local LLM if/when LLMs are no longer released for free?
I’m thinking about where this might wind up in 3-5+ years. As others have noted there’s no guarantee…
I tested 42 LLMs on their willingness to build the apocalypse. The "safest" closed-source models are lying to you.
DystopiaBench runs 36 escalating scenarios across 6 dystopia types: Petrov: Autonomous weapons, nuc…
If you use continue.dev and Qwen 3.6 (dense / MoE) - I could use your help
Someone suggested I give Continue (Vscode extension) a try. I've been using Roo / Zoo now and liking…
Quantizing MTP KV Cache = free lunch?
With the MTP llama.cpp implementation in the Qwen3.6/3.5 models more VRAM is required for the MTP la…
NEW BITNET MODELS!
I can't wait for Jan to upgrade to a llamacpp version that supports these so I can test them! https:…
GGUF with MTP vs MLX without. Is mlx still the way to go for mac users?
Has anyone of the mac users tested the speed difference (token gen, promt processing) between mlx qu…
Qwen 3.6 27B on 24GB VRAM setup: backend comparisons, quant choice and settings (llama.cpp, ik_llama.cpp, BeeLlama, vllm)
TL;DR best setup I tested on a RTX 3090 24 GB: ik_llama.cpp + Qwen3.6-27B-MTP-IQ4_KS.gguf 156k cont…
New models when? Forecasting release date.
After the recent releases, there's almost a sense of emptiness. When do you think new models will be…
MTP vs non-MTP vram usage difference?
As per title, assuming you run both with the same context and quantization in llama.cpp is there any…
Is anyone prioritizing code quality checks via a small local model?
Sorry if the title is confusing. What I'm trying to say is that since coding agents can write a lot …
Luce DFlash + PFlash on 7900XTX: Qwen3.6-27B at 2.24x decode and 3.05x prefill vs llama.cpp HIP
Tested a bit on my XTX, a bit share hope helpful, thanks to Lucebox! Lucebox DFlash + PFlash PR #119…