Summary of Reddit Comments regarding "qwen3 llama"

Qwen3 Llama Release

Unsloth has provided GGUFs for Qwen3-Next 80B-A3B Instruct.
Users appreciate the ongoing work on models like Qwen3-Next and Kimi Linear.
The release version for Qwen3-Next is now available.
There are discussions about supporting CUDA and Metal backends in llama.cpp.
Users are awaiting optimized kernels for CUDA and Vulkan.
There is anticipation about optimized CUDA kernels and the launch of Kimi Linear.
Performance tests with various quantizations on different hardware configurations are shared.
Users express curiosity about multi-token prediction implementation and the model's performance compared to GPT-OSS 120B.

Users highlighted potential speed improvements over previous models like Qwen3-30B.
Optimizations have improved speed on hardware configurations like RTX 5060 Ti.
Positive comments on the ongoing work, release timing, and potential for future models.

Some users reported hallucinations, especially with lower quantizations.
Issues with the cache mechanism for llama.cpp are noted.
Concerns about the Python integration and the need for an active fork for contributions.
Users experienced challenges with the model handling text and image content.
Discussion around the delay in support for newer architectures like Qwen3 in various frameworks.

Anticipation for the release of Qwen3-Next.
Speculation on potential models like Qwen3MoE and interest in smaller versions.
Users hope for continued improvements and day one support for frameworks.
Discussions around potential future performance gains and upcoming releases.

Users expressed excitement, gratitude, and appreciation for the progress and efforts of the developers.
Some users shared dreams and hopes about future models and performance improvements.
Encouragement for ongoing work, with mentions of staying updated and supporting the project.

Comments on the organization of llama.cpp and comparisons to legacy systems are noted.
Users acknowledge the challenges and time required for coding projects.
Positive comments on the contributions of developers to the community and the significance of open-source projects.