--- license: apache-2.0 language: - en - zh base_model: - janhq/Jan-v1-2509 - Gen-Verse/Qwen3-4B-RA-SFT - TeichAI/Qwen3-4B-Instruct-2507-Polaris-Alpha-Distill - TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill - DavidAU/Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated - nightmedia/Qwen3-4B-Agent - FutureMa/Eva-4B pipeline_tag: text-generation library_name: transformers tags: - coding - research - deep thinking - 1M context - 256k context - Qwen3 - All use cases - creative - creative writing - fiction writing - plot generation - sub-plot generation - story generation - scene continue - storytelling - fiction story - science fiction - all genres - story - writing - vivid prosing - vivid writing - fiction - roleplaying - bfloat16 - finetune - mergekit - merge --- # Qwen3-4B-Element4-Eva This is a model merge between Qwen3-4B-Element4 and FutureMa/Eva-4B. Brainwaves of qx86-hi quants of the parent models ```brainwave Element4 0.582,0.779,0.849,0.708,0.442,0.771,0.655 Eva-4B 0.539,0.747,0.864,0.606,0.412,0.751,0.605 ``` Eva merged models ```brainwave Agent-Eva 0.568,0.775,0.872,0.699,0.418,0.777,0.654 Element8-Eva 0.559,0.768,0.872,0.694,0.422,0.765,0.647 Element4-Eva bf16 0.570,0.781,0.869,0.689,0.422,0.769,0.645 qx86-hi 0.567,0.781,0.868,0.689,0.426,0.773,0.642 qx64-hi 0.567,0.772,0.865,0.679,0.424,0.772,0.641 mxfp4 0.549,0.757,0.864,0.666,0.414,0.764,0.635 ``` Element4 is a merge of Qwen3-4B-Engineer3x and Qwen3-4B-Agent, and serves as a base for the higher number elements. The Agent is Heretic-abliterated, which provides for some interesting friction in the model chains of thought, that only enhances the inference with some original AI humour. The qx86-hi quant performs at the same level with full precision in this model. The Element models are profiled to act as agents on the Star Trek DS9 station, in a roleplay scenario. The models can be used for regular tasks as well. Each comes with different skills. I found FutureMa/Eva-4B recently with an interesting model card: > Eva-4B is a 4B-parameter model for detecting evasive answers in earnings call Q&A. In Element8-Eva, that would be Quark. Element8 is a very rich merge, with lower metrics than Agent. Like I mentioned on the Element8-Eva model card, the FutureMa/Eva-4B was simply included for conversational skills. -G