79 lines
2.2 KiB
Markdown
79 lines
2.2 KiB
Markdown
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---
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license: apache-2.0
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language:
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- en
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- zh
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base_model:
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- janhq/Jan-v1-2509
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- Gen-Verse/Qwen3-4B-RA-SFT
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- TeichAI/Qwen3-4B-Instruct-2507-Polaris-Alpha-Distill
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- TeichAI/Qwen3-4B-Thinking-2507-Gemini-2.5-Flash-Distill
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- DavidAU/Qwen3-4B-Apollo-V0.1-4B-Thinking-Heretic-Abliterated
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- nightmedia/Qwen3-4B-Agent
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- FutureMa/Eva-4B
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- coding
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- research
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- deep thinking
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- 1M context
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- 256k context
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- Qwen3
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- All use cases
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- creative
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- creative writing
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- fiction writing
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- plot generation
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- sub-plot generation
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- story generation
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- scene continue
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- storytelling
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- fiction story
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- science fiction
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- all genres
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- story
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- writing
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- vivid prosing
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- vivid writing
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- fiction
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- roleplaying
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- bfloat16
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- finetune
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- mergekit
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- merge
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- mlx
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---
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# Qwen3-4B-Agent-Eva-qx86-hi-mlx
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This is a model merge between Qwen3-4B-Agent and FutureMa/Eva-4B.
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Brainwaves of qx86-hi quants of the parent models and Qwen3-4B-Agent-Eva
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```brainwave
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Agent 0.603,0.817,0.838,0.743,0.426,0.780,0.708
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Eva-4B 0.539,0.747,0.864,0.606,0.412,0.751,0.605
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Qwen3-4B-Agent-Eva
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bf16 0.565,0.779,0.872,0.700,0.418,0.776,0.653
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qx86-hi 0.568,0.775,0.872,0.699,0.418,0.777,0.654
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```
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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 :)
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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.
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The Element models are profiled to act as agents on the Star Trek DS9 station, in a roleplay scenario.
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The models can be used for regular tasks as well.
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Each comes with different skills. I found FutureMa/Eva-4B recently with an interesting model card:
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> Eva-4B is a 4B-parameter model for detecting evasive answers in earnings call Q&A.
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In Element8-Eva, that would be Quark. Element8 is a very rich merge, with lower metrics than Agent.
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Like I mentioned on the Element8-Eva model card, the FutureMa/Eva-4B was simply included for conversational skills.
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Without them, who do you get, Worf?
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-G
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