Hackernews posts about Unsloth
- Unsloth Dynamic 3.0 GGUFs (unsloth.ai)
- Unsloth Qwen3.8-27B GGUF files (huggingface.co)
- Introducing Unsloth Desktop (unsloth.ai)
- Unsloth Desktop: Open-Source App for Local Models (github.com)
- Kimi K3 for local use (1.56TB –> 594GB) compressed by Unsloth (huggingface.co)
- Unsloth - Qwen3.8 - How to Run Locally (unsloth.ai)
- Unsloth releases Dynamic v3 quantizations of Qwen3.8-27B (huggingface.co)
- Unsloth/DeepSeek-V4-Pro-0813-GGUF (huggingface.co)
- Unsloth Desktop (unsloth.ai)
- Unsloth: Run and Train Local LLMs (github.com)
- Unsloth: DeepSeek V4 Flash 0731 (unsloth.ai)
- Unsloth Desktop (twitter.com)
- Muse Glimmer 30B unsloth GGUF format Q4, Q6, Q8 quantizations (huggingface.co)
- Unslop my deck – upload slide decks, read less slop (unslopmydeck.xyz)
- Show HN: I used AI to filter AI-focused content from HN (www.unslop.news)
- Unsloth Studio (unsloth.ai)
- Unsloth Dynamic 2.0 GGUFs (unsloth.ai)
- Making LLM Training Faster with Unsloth and NVIDIA (unsloth.ai)
- Unsloth Joins PyTorch Ecosystem (unsloth.ai)
- Show HN: Unsloth Studio - Local Fine-tuning, Chat UI (github.com)
- Run Qwen3-Coder-480B-A35B Locally with Unsloth Dynamic Quants (docs.unsloth.ai)
- Unsloth: Introducing AMD support (github.com)
- Train your own R1 reasoning model with Unsloth (unsloth.ai)
- Unsloth: GLM-4.7-Flash (unsloth.ai)
- 1.8-3.3x faster Embedding finetuning now in Unsloth (unsloth.ai)
- How to Beat Unsloth's CUDA Kernel Using Mojo–With Zero GPU Experience (www.modular.com)
- Unsloth – Train LLMs 2x faster with 70% less VRAM (github.com)
- Unsloth Dynamic GGUFs DeepSeek (671B) outperforms SOTA models (docs.unsloth.ai)
- Unsloth Dynamic 2.0 GGUFs (docs.unsloth.ai)
- Unsloth Now Supports GRPO (github.com)
- Unsloth – Dynamic 4-bit Quantization (unsloth.ai)
- Unsloth: Easily run and train models locally (unsloth.ai)
- Model Card: unsloth/GLM-5.2-GGUF (huggingface.co)
- Why MLX Quantized Models Underperform Unsloth GGUF (twitter.com)
- Fine-Tune Moe Models 12x Faster with Unsloth (unsloth.ai)
- Running Unsloth with all perks on DGX Spark (bartusiak.ai)
- Fine-Tuning LLMs with Nvidia DGX Spark and Unsloth (docs.unsloth.ai)
- Unsloth – Dynamic 4-bit Quantization (unsloth.ai)
- Unsloth Dynamic v.20 GGUFs (unsloth.ai)