Median Total Time
28.90s
Median TTFT
6.56s
Median Prefill TPS
1058.80
Median Gen TPS
6.25
Context Size
262144
Quantization
r64 on INT8
Engine
vllm
Creation Method
Merge
Model Type
Gemma31B
Chat Template
Gemma4
Reasoning
Yes
Vision
Yes
Parameters
31B
Added At
9/26/2026
license: apache-2.0 tags:
"Shady corners of mind"
So, despite creativity the first version had issues with tool calling and brains in long context role-play. I fixed this in V2 and changed recipe, putting more experiments on focus and filters.
Below is the exact mergekit_config.yml recipe used to synthesize this model:
Ignition of creativity with MeroMero V2 and Dark-Scarlett V2
merge_method: dare_ties
base_model: F:\AI\Merge\Gemma-4-it
tokenizer_source: base
dtype: bfloat16
parameters:
lambda: 1.0
models:
- model: F:\AI\Merge\Gemma-4-MeroMero-V2
parameters:
density: 0.50
weight:
- filter: "model.layers.4."
value: 0.60
- filter: "model.layers.9."
value: 0.60
- filter: "model.layers.14."
value: 0.60
- filter: "model.layers.19."
value: 0.60
- filter: "model.layers.24."
value: 0.60
- filter: "model.layers.29."
value: 0.60
- filter: "model.layers.34."
value: 0.60
- filter: "model.layers.39."
value: 0.50
- filter: "model.layers.44."
value: 0.50
- filter: "model.layers.49."
value: 0.40
- filter: "model.layers.54."
value: 0.40
- filter: "model.layers.59."
value: 0.40
- value: 0.50
- model: F:\AI\Merge\Gemma-4-Dark-Scarlett-V2
parameters:
density: 0.50
weight:
- filter: "model.layers.4."
value: 0.40
- filter: "model.layers.9."
value: 0.40
- filter: "model.layers.14."
value: 0.40
- filter: "model.layers.19."
value: 0.40
- filter: "model.layers.24."
value: 0.40
- filter: "model.layers.29."
value: 0.40
- filter: "model.layers.34."
value: 0.40
- filter: "model.layers.39."
value: 0.50
- filter: "model.layers.44."
value: 0.50
- filter: "model.layers.49."
value: 0.60
- filter: "model.layers.54."
value: 0.60
- filter: "model.layers.59."
value: 0.60
- value: 0.50
Polisher of thoughts from Scotoma v2
merge_method: dare_ties
base_model: F:\AI\Merge\Gemma-4-it
tokenizer_source: base
dtype: bfloat16
parameters:
lambda: 1.0
models:
- model: F:\AI\Merge\Gemma-4-Scotoma-V2
parameters:
density: 0.60
weight:
- {filter: mlp, value: 0.2}
- {filter: self_attn, value: 0.2}
- {filter: q_proj, value: 0.5}
- {filter: k_proj, value: 0.5}
- {filter: v_proj, value: 0.6}
- {filter: o_proj, value: 0.8}
- value: [0.60, 0.60, 0.70, 0.80, 0.80]
- model: F:\AI\Merge\Dark-Mero-V3
parameters:
density: 0.40
weight:
- {filter: mlp, value: 0.8}
- {filter: self_attn, value: 0.8}
- {filter: q_proj, value: 0.5}
- {filter: k_proj, value: 0.5}
- {filter: v_proj, value: 0.4}
- {filter: o_proj, value: 0.2}
- value: [0.40, 0.40, 0.30, 0.20, 0.20]