Muse-Glimmer-30B-pruned-GGUF
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Vision requires downloading `mmproj-*` file. Quantization of vision models usually compound error, so it's recommended to use Q8_0 qwant regardless of your text-text quantization level. Correct file is: `mmproj-Muse-Glimmer-30B_pruned-pl-V2.5-Q8_0.gguf`. Note: This model is using English thinking, because of that using Polish language in your prompt is not ideal. > [!WARNING] > Make sure to use llama.cpp version greater than `b10430`, model will fail to load on older version.
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🍭 Korean sentence embedding repository. You can download the pre-trained models and inference right away, also it provides environments where individuals can train models.
🍭 Korean sentence embedding repository. You can download the pre-trained models and inference right away, also it provides environments where individuals can train models.
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Uncensored Qwen3.8-27B, published as GGUF quantizations with the multi token prediction (MTP) head retained and verified. Refusal behaviour has been **substantially reduced**, not eliminated. See Measured behaviour for the numbers. Capabilities, training data, and architecture are otherwise unchanged. - Method - Whats here - Overview - Files - Perplexity - Baseline against the unmodified base model - How the baseline was measured - Importance matrix - Building other low bit quants yourself - Third party quants - Usage - ComfyUI - llama cpp - Verification - Measured behaviour - How to read these - Caveats that matter - Requirements - Limitations - License - Speculative decoding, measured on this model - IQ2_M
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