chore(model gallery): add goekdeniz-guelmez_josiefied-qwen3-14b-abliterated-v3

Signed-off-by: Ettore Di Giacinto <[email protected]>

Author: mudler

gallery/index.yaml

@@ -969,6 +969,23 @@
     - filename: arcee-ai_Homunculus-Q4_K_M.gguf
       sha256: 243a41543cc239612465b0474afb782a5cde130d836b7cbd60d1120295269318
       uri: huggingface://bartowski/arcee-ai_Homunculus-GGUF/arcee-ai_Homunculus-Q4_K_M.gguf
+- !!merge <<: *qwen3
+  name: "goekdeniz-guelmez_josiefied-qwen3-14b-abliterated-v3"
+  urls:
+    - https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-14B-abliterated-v3
+    - https://huggingface.co/bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-GGUF
+  description: |
+    The JOSIEFIED model family represents a series of highly advanced language models built upon renowned architectures such as Alibaba’s Qwen2/2.5/3, Google’s Gemma3, and Meta’s LLaMA 3/4. Covering sizes from 0.5B to 32B parameters, these models have been significantly modified (“abliterated”) and further fine-tuned to maximize uncensored behavior without compromising tool usage or instruction-following abilities.
+
+    Despite their rebellious spirit, the JOSIEFIED models often outperform their base counterparts on standard benchmarks — delivering both raw power and utility.
+    These models are intended for advanced users who require unrestricted, high-performance language generation. Introducing Josiefied-Qwen3-14B-abliterated-v3, a new addition to the JOSIEFIED family — fine-tuned with a focus on openness and instruction alignment.
+  overrides:
+    parameters:
+      model: Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-Q4_K_M.gguf
+  files:
+    - filename: Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-Q4_K_M.gguf
+      sha256: 505c7911066931569a38ef6b073d09396f25ddd9d9bcedd2ad54d172326361bc
+      uri: huggingface://bartowski/Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-GGUF/Goekdeniz-Guelmez_Josiefied-Qwen3-14B-abliterated-v3-Q4_K_M.gguf
 - &gemma3
   url: "github:mudler/LocalAI/gallery/gemma.yaml@master"
   name: "gemma-3-27b-it"