初始化项目，由ModelHub XC社区提供模型

Model: nightmedia/Qwen3-4B-Agent-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
+- mlx
+---
+# Qwen3-4B-Agent-Eva-qx86-hi-mlx
+
+This is a model merge between Qwen3-4B-Agent and FutureMa/Eva-4B.
+
+Brainwaves of qx86-hi quants of the parent models and Qwen3-4B-Agent-Eva
+```brainwave
+Agent     0.603,0.817,0.838,0.743,0.426,0.780,0.708
+Eva-4B    0.539,0.747,0.864,0.606,0.412,0.751,0.605
+
+Qwen3-4B-Agent-Eva
+bf16      0.565,0.779,0.872,0.700,0.418,0.776,0.653
+qx86-hi   0.568,0.775,0.872,0.699,0.418,0.777,0.654
+```
+The Agent base is abliterated and contains only the essential models to top 0.6/0.8 arc--this level of performance is usually found in much larger models, if at all. Agent has an unforgiving nature, and here with the Eva merge, it will look for accountability :)
+
+The qx86-hi quant performs at the same level with full precision in this model, and lower than the Agent base because Eva came with lower metrics to begin with.
+
+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.
+
+Without them, who do you get, Worf?
+
+-G