Lambent/Arsenic-Shahrazad-12B-v4.3.2
Lambent/Arsenic-Shahrazad-12B-v4.3.2 is a 12 billion parameter language model with a 32768 token context length, developed by Lambent. This iteration features additional Reinforcement Learning from Human Feedback (RLHF) steps and refinements, judged by Gemma 4 31B. It demonstrates a slight increase in creative writing capabilities, particularly in generating image prompt descriptions.
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Overview
Lambent/Arsenic-Shahrazad-12B-v4.3.2 is a 12 billion parameter language model with a substantial 32768 token context length. This version represents an iterative improvement, incorporating additional Reinforcement Learning from Human Feedback (RLHF) steps and further refinements. The model's performance was evaluated using Gemma 4 31B as the sole judge for its RLHF process.
Key Capabilities
- Enhanced Creative Writing: The model shows a slight improvement in creative writing abilities, specifically noted by Gemini 3 Flash.
- Image Prompt Generation: It exhibits creativity in generating self-portrait image prompts, as interpreted by image generators.
Good For
- Applications requiring creative text generation.
- Tasks involving the generation of descriptive image prompts.
- Use cases where a model with a large context window and refined RLHF training is beneficial.