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chore(model gallery): add goekdeniz-guelmez_josiefied-qwen3-14b-abliterated-v3 (#5590)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2025-06-05 19:16:04 +02:00 • committed by GitHub
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commit 432f34f001
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gallery/index.yaml
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@ -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"