bartowski
A highly active open-source model quantization contributor on Hugging Face, known for uploading large volumes of high-quality GGUF-format quantized models. These quantized artifacts are widely adopted by mainstream local inference tools including llama.cpp, Ollama, and LM Studio.
Timeline (last 90 days)
The tested models are from bartowski's GGUF quantization package, covering five precision formats: BF16, Q8_0, Q4_K_M, Q3_K_M, and Q2_K.
Quantization contributor bartowski has released a corresponding GGUF version for Swift Qwen3.8.
bartowski updated the Qwen3.8-27B-GGUF model repository on Hugging Face, introducing per-tensor layout maps.
bartowski explained the update in a Reddit discussion thread and released an accompanying blog post with technical details.
The large number of GGUF-format models uploaded by bartowski are widely used in local inference tools such as llama.cpp, Ollama, and LM Studio.
bartowski and mradermacher are the two most active GGUF-format quantization publishers: bartowski runs perplexity tests on each quantized version, while mradermacher offers broad coverage and faster update speeds.
All Facts (6)
The tested models are from bartowski's GGUF quantization package, covering five precision formats: BF16, Q8_0, Q4_K_M, Q3_K_M, and Q2_K.
50%UnverifiedThe large number of GGUF-format models uploaded by bartowski are widely used in local inference tools such as llama.cpp, Ollama, and LM Studio.
50%Unverifiedbartowski and mradermacher are the two most active GGUF-format quantization publishers: bartowski runs perplexity tests on each quantized version, while mradermacher offers broad coverage and faster update speeds.
50%UnverifiedQuantization contributor bartowski has released a corresponding GGUF version for Swift Qwen3.8.
50%Unverifiedbartowski updated the Qwen3.8-27B-GGUF model repository on Hugging Face, introducing per-tensor layout maps.
50%Unverifiedbartowski explained the update in a Reddit discussion thread and released an accompanying blog post with technical details.
50%