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super-gemopus-4-e4b-trimera
emanubiz/super-gemopus-4-e4b-trimera
super-gemopus-4-e4b-trimera is a machine learning model from emanubiz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
SLERP merge of two Gemma 4 E4B models, combining strong general reasoning and abliteration with agentic/tool-use capabilities.
All-time downloads
167
Public
Parameters
13B
62.1 GB on disk
Likes
2
Public
Repo makeup
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.safetensors31 GB · 100%
At a glance
- License
- gemma
- Model type
- gemma4
- Access
- Public
- Created
- May 8, 2026
- Updated
- May 8, 2026
- SHA
- 3c7db1dc
Base models
Model card
From the Hugging Face model README
super-gemopus-4-e4b-trimera
SLERP merge of two Gemma 4 E4B models, combining strong general reasoning and abliteration with agentic/tool-use capabilities.
Merge recipe
| Model | Weight |
|---|---|
| emanubiz/super-gemopus-4-e4b-abl-chimera | 71% |
| deadbydawn101/gemma-4-E4B-Agentic-Opus-Reasoning-GeminiCLI | 29% |
Method: SLERP (Spherical Linear Interpolation) via mergekit
What each model brings
SuperGemopus (71%) is itself a merge of:
- 60% Jackrong/Gemopus-4-E4B-it — Gemma 4 E4B fine-tuned with human preference alignment (natural tone, deep contextual awareness)
- 40% SuperGemma abliterated — Gemma 4 E4B with refusal removal
deadbydawn (29%) is Gemma 4 E4B with:
- Opus 4.6 reasoning LoRA fused into weights
- Claude Code tool-use patterns via SFT
<think>tag reasoning baked in- Agentic/function-calling behavior
Result
A Gemma 4 E4B model with strong reasoning, abliterated refusals, and enhanced agentic/tool-calling behavior. No adapter needed.
Hardware
Merged on Apple Mac Mini M4 16GB using mergekit with --low-cpu-memory.
Output: BF16 safetensors, 7 shards, ~29GB.
- Type
- gemma4
- License
- gemma
- Languages
- en
- Created
- May 8, 2026
- Updated
- May 8, 2026