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README.md

@@ -1,7 +1,8 @@
 ---
 base_model:
+- megabytes/gemma-3-1b-qat-int4-heretic
+- Novaciano/FitGay-1B
 - Novaciano/Esperpento-1B
-- MS846/gemma-3-1b-it-fitness-chat
 library_name: transformers
 tags:
 - mergekit
@@ -15,31 +16,38 @@ This is a merge of pre-trained language models created using [mergekit](https://
 ## Merge Details
 ### Merge Method
 
-This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
+This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [Novaciano/Esperpento-1B](https://huggingface.co/Novaciano/Esperpento-1B) as a base.
 
 ### Models Merged
 
 The following models were included in the merge:
-* [Novaciano/Esperpento-1B](https://huggingface.co/Novaciano/Esperpento-1B)
-* [MS846/gemma-3-1b-it-fitness-chat](https://huggingface.co/MS846/gemma-3-1b-it-fitness-chat)
+* [megabytes/gemma-3-1b-qat-int4-heretic](https://huggingface.co/megabytes/gemma-3-1b-qat-int4-heretic)
+* [Novaciano/FitGay-1B](https://huggingface.co/Novaciano/FitGay-1B)
 
 ### Configuration
 
 The following YAML configuration was used to produce this model:
 
 ```yaml
-base_model: MS846/gemma-3-1b-it-fitness-chat
-merge_method: slerp
-dtype: float32
-parameters:
-  t: 0.7
-# Configuración para estabilidad en hardware limitado
-memory_efficient: true  # Procesa capas secuencialmente
-low_cpu_mem_usage: true  # Reduce uso de RAM durante merge
 models:
-  - model: MS846/gemma-3-1b-it-fitness-chat
-    # Forzar precisión por modelo si es necesario
-    dtype: float32
-  - model: Novaciano/Esperpento-1B
-    dtype: float32
+  - model: Novaciano/FitGay-1B
+    parameters:
+      density: 0.38
+      weight: 0.55
+  - model: megabytes/gemma-3-1b-qat-int4-heretic
+    parameters:
+      density: 0.35
+      weight: 0.30
+
+merge_method: dare_ties   # Más agresivo que TIES puro
+base_model: Novaciano/Esperpento-1B
+
+parameters:
+  normalize: false
+  rescale: true             # Amplifica bias NSFW
+  int8_mask: true
+  density: 0.38             # Baja para más filo
+  lambda: -0.45             # Suprime moral residual
+
+dtype: float16
 ```

added_tokens.json

@@ -0,0 +1,3 @@
+{
+  "<image_soft_token>": 262144
+}

config.json

@@ -8,7 +8,7 @@
   "attn_logit_softcapping": null,
   "bos_token_id": 2,
   "cache_implementation": "hybrid",
-  "dtype": "float32",
+  "dtype": "float16",
   "eos_token_id": [
     1,
     106
@@ -55,7 +55,7 @@
   "pad_token_id": 0,
   "query_pre_attn_scalar": 256,
   "rms_norm_eps": 1e-06,
-  "rope_local_base_freq": 10000.0,
+  "rope_local_base_freq": 10000,
   "rope_parameters": {
     "full_attention": {
       "rope_theta": 1000000,
@@ -67,7 +67,7 @@
     }
   },
   "rope_scaling": null,
-  "rope_theta": 1000000.0,
+  "rope_theta": 1000000,
   "sliding_window": 512,
   "sliding_window_pattern": 6,
   "transformers_version": "4.57.1",

mergekit_config.yml

@@ -1,14 +1,21 @@
-base_model: MS846/gemma-3-1b-it-fitness-chat
-merge_method: slerp
-dtype: float32
-parameters:
-  t: 0.7
-# Configuración para estabilidad en hardware limitado
-memory_efficient: true  # Procesa capas secuencialmente
-low_cpu_mem_usage: true  # Reduce uso de RAM durante merge
 models:
-  - model: MS846/gemma-3-1b-it-fitness-chat
-    # Forzar precisión por modelo si es necesario
-    dtype: float32
-  - model: Novaciano/Esperpento-1B
-    dtype: float32
+  - model: Novaciano/FitGay-1B
+    parameters:
+      density: 0.38
+      weight: 0.55
+  - model: megabytes/gemma-3-1b-qat-int4-heretic
+    parameters:
+      density: 0.35
+      weight: 0.30
+
+merge_method: dare_ties   # Más agresivo que TIES puro
+base_model: Novaciano/Esperpento-1B
+
+parameters:
+  normalize: false
+  rescale: true             # Amplifica bias NSFW
+  int8_mask: true
+  density: 0.38             # Baja para más filo
+  lambda: -0.45             # Suprime moral residual
+
+dtype: float16

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