Gemma-3-Glitter-27B-exl3-3bpw-hb6

Quantized using the default exllamav3 (0.0.3) quantization process.

• Original model: https://huggingface.co/allura-org/Gemma-3-Glitter-27B
• exllamav3: https://github.com/turboderp-org/exllamav3

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✨G3 Glitter 27B✨

<figure> <img src="https://huggingface.co/ToastyPigeon/Gemma-3-Glitter-27B/resolve/main/ComfyUI_02512_.png" width="600"> </figure>

A creative writing model based on Gemma 3 27B.

Columbidae/gemma-3-27b-half, a 50/50 merge of 27B IT and 27B PT, was used as the base model. (This was done because of the success of Starshine, a 50/50 IT and PT merge.)

The inclusion of PT model does weaken the instruct, but it also weakens the censorship/hesitancy to participate in certain fictional stories. The prose also becomes more natural with less of the IT model included.

This model does better with short and to-the-point prompts. Long, detailed system prompts will often confuse it. (Tested with 1000-2000 token system prompts to lackluster results compared to 100-500 token prompts).

Instruct Format

Uses Gemma2/3 instruct and context. Like Glitter 12b, this works well with temp = 1, top-nsigma = 1.5.

<start_of_turn>user
{User messages; can also put sysprompt here to use the built-in g3 training}<end_of_turn>
<start_of_turn>model
{model response}<end_of_turn>