Josiefied-Qwen2.5-14B-Instruct-abliterated-v4
It is a modified, less-restricted version of Qwen2.5-14B that can run locally on my NVIDIA RTX 4080 SUPER with 16 GB of VRAM.
Although I am currently exploring newer Qwen models, this remains an interesting alternative for creative writing and situations where a model’s frequent refusals become disruptive.
The Exact Model
The model was published by Goekdeniz Guelmez on Hugging Face:
Model: Josiefied-Qwen2.5-14B-Instruct-abliterated-v4
Format: GGUF
Selected quantization: Q6_K
Exact filename:
josiefied-qwen2.5-14b-instruct-abliterated-v4.Q6_K.ggufDownload size: 12.1 GB
My graphics card: RTX 4080 SUPER with 16 GB VRAM
Useful links:
The repository also provides smaller versions, but Q6_K preserves more of the original model’s quality while remaining small enough for my hardware.
What Does “Abliterated” Mean?
This model is commonly described as “uncensored,” but less restricted is a more accurate description.
An abliterated model has been modified to reduce some of the learned patterns that cause an AI assistant to refuse requests. The purpose is to make it more willing to follow the user’s instructions without constantly interrupting with unnecessary warnings or moral lectures.
This can be useful for fiction involving:
Dark fantasy
Villains and morally complicated characters
Violence or dangerous fictional situations
Mature emotional themes
Horror and psychological conflict
Unusual cultures, beliefs and magical systems
Detailed visual-art prompts
However, abliterated does not mean perfect or completely unrestricted. The model may still refuse some requests, misunderstand instructions or generate inaccurate material. Removing refusals also does not make its answers automatically correct or responsible. The person using it must still apply judgment.
Why a 14B Model Can Still Be Useful
It is easy to dismiss a 14-billion-parameter model because much larger models now exist. However, model size is only one part of the story.
Training quality, architecture, instruction tuning and quantization all affect how useful a model feels. Qwen2.5-14B was designed to follow instructions, write text, reason and work across multiple languages.
It will not outperform every larger model, but it can still be a capable everyday assistant—especially when the full model fits on one graphics card.
The 12.1 GB Q6_K file should leave some of my 16 GB VRAM available for the working context and other processing. This can make it more responsive than a larger model that must constantly move information between the graphics card and system memory.
Actual speed will depend on the software, context size, GPU settings and whether the entire model is loaded into VRAM. I would therefore test it directly instead of promising a fixed number of tokens per second.
A Sensible Context Setting
Although Qwen2.5 supports long context windows, the model file is not the only thing that consumes graphics memory. The active conversation also requires memory, and longer conversations require more.
For my 16 GB graphics card, I would begin with an 8K context, test stability, and then try 16K if enough memory remains.
A 32K context might be possible with careful settings and a compressed KV cache, but I would not assume it will fit comfortably alongside the 12.1 GB Q6 model. Stability is more useful than selecting the largest number available.
Why It Interests Me as a Writer
My main interest in this model is creative writing.
A less-restricted local model could help me:
Brainstorm stories and chapters
Develop fantasy worlds
Create character profiles
Explore darker conflicts without unnecessary refusals
Draft dialogue between complicated characters
Suggest alternative scenes
Create detailed art prompts
Review chapters for repetition or inconsistency
Experiment with ideas privately
For novels, I would still keep a story bible, character sheets, timeline and chapter summaries. The model could then work with the relevant references one chapter at a time instead of trying to remember an entire book indefinitely.
It should serve as a creative co-pilot, while I remain the author and final decision-maker.
Running It Through Hermes Agent
The model’s GGUF format allows it to run through local software such as llama.cpp or Ollama. A local server can then provide an OpenAI-compatible connection for Hermes Agent.
Hermes can use the model as its local “brain” while supplying the tools, memory and agent workflow around it.
The model repository now includes instructions for using it with llama.cpp, Ollama and Hermes Agent. The examples on the page use the smaller Q4_K_M version, but the same general process can be adapted to the Q6_K file selected here.
Why Keep an Offline Model?
Once downloaded, a local model can continue working without sending every conversation through the internet.
This is especially useful for me because internet access in Yemen can be slow, limited and expensive.
A local model offers:
Offline availability
Private creative drafts
No per-message API charges
No monthly usage allowance
No dependence on connection quality
Greater control over model settings
A permanent creative assistant stored on my computer
Cloud AI models remain more capable in many areas, but a good local model can be available whenever it is needed.
My Future Reference Settings
If I return to this model, this is where I would start:
Model: Josiefied-Qwen2.5-14B-Instruct-abliterated-v4
File:
josiefied-qwen2.5-14b-instruct-abliterated-v4.Q6_K.ggufSize: 12.1 GB
Runtime: Latest llama.cpp
Agent: Hermes Agent
Starting context: 8K
Possible next context: 16K
GPU offloading: All layers, if memory allows
Main purpose: Private, less-restricted creative writing
Final Thoughts
This is no longer the newest Qwen model, but “newest” does not always mean “best for every purpose.”
The Josiefied Qwen2.5-14B model remains attractive because it is relatively compact, fits my hardware and has been modified to refuse fewer creative requests. It could be particularly useful when writing dark fantasy, complex characters or mature fictional situations.
I am saving it here as a practical reference for the future: a 12.1 GB offline creative-writing model that should fit my RTX 4080 SUPER and can potentially serve as a private local co-pilot inside Hermes Agent.
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