mradermacher publishes GGUF quants of gemma-4-31B-it-ARA-heretic
Static GGUF files from Q2_K through Q8_0, plus mmproj supplements, are listed as the repo trends at #30.
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Static GGUF files from Q2_K through Q8_0, plus mmproj supplements, are listed as the repo trends at #30.
179.9GB version of 753B-parameter GLM-5.3 MoE drops to 563B by NAS, scores 92.7% HumanEval and fits single B200.
GGUF quantized uncensored DeepSeek model trending at #30 on Hugging Face.
AtomicChat releases 763B DeepSeek-V4.1-Flash-1017 uncensored GGUF quantized for single 12GB GPU with Strata.
AtomicChat reports harmful-prompt refusals fell from 61.7% to 0% with MMLU unchanged at 41.0%.
On Qwen3-1.7B, a 0.52 GB recalibrated checkpoint scores 46.7 on MATH-500 versus 30.0 for EfficientQAT.
The independent early preview, trending #30, refreshed Q4_K_M and Q8_0; full weights and the dataset follow after October 28.
Seven of 305 official Ollama tags solved at most six of 164 HumanEval+ tasks.
The repo adds a QAD Q4_0 file meant to recover accuracy lost to Q4_0 quantization.
The Q4_K_M build has 8B total parameters, 4B effective, and a 64K-token context.
The IQ2_XXS build matches the base model’s reported task average, and every build is said to run on a 12 GB GPU with Strata.
The MIT-licensed text-generation upload has 156 likes and only 3 downloads; no evals or base-model changes are described.
Flint is a 39.8B MoE model with about 2.5B active parameters, scored by Recursive at 54.9% on Terminal-Bench 2.1.
The 4B model keeps the Spark-X2.5 architecture and claims coding and agent gains from post-training alone.
A GitHub project ports llama.cpp to a jailbroken PlayStation 5 to run GGUF models natively.
Researchers find signed full-precision LLMs cannot verify popular GGUF builds, with verifiability at 0 of 198 repos.
Liquid AI released GGUF weights for LFM2.5-24B-A2B, including a Q4_0 distillation build.
AtomicChat published abliterated GGUF weights of the Qwen-Image 2.1 Turbo text encoder, sharply cutting chat refusals.
Saluki 27B, a 7.89 GB 2-bit Qwen3.8-27B GGUF, beats the full model on tool calling.
Unsloth released GGUF weights for Google DeepMind's EmbeddingGemma 2, a 740M multimodal embedding model.
OpenBMB released GGUF weights for MiniCPM-V 4.7 35B-A3B, an on-device multimodal MoE model.
Simon Willison locally retests Qwen3.8 27B on summing numbers and answering in words.
SC117 published abliterated GGUF quants of Qwen3.8-Flash-Next that swap 144 tensors while keeping GSQ-RCO scales.
Janus is a Go binary that runs GGUF models on AMD, Intel, and Nvidia GPUs via Vulkan.
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