初始化项目，由ModelHub XC社区提供模型

Model: nightmedia/Qwen3-4B-Element4-Eva
Source: Original Platform

README.md

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+---
+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
+