Files
Qwen3-4B-Element4-Eva/README.md
ModelHub XC d9c0cba1ec 初始化项目,由ModelHub XC社区提供模型
Model: nightmedia/Qwen3-4B-Element4-Eva
Source: Original Platform
2026-05-23 14:55:12 +08:00

84 lines
2.3 KiB
Markdown

---
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