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Phoenix-X-26B-A4B-Heretic
Phoenix-X-26B-A4B-Heretic is a Heretic-ablated variant of Vortex5/Phoenix-X-26B-A4B, published on Hugging Face by alexokita. It is 26B total parameters (mixture-of-experts), 48GB VRAM class class and apache-2.0 licence. It is distributed across 5 repositories in Transformers, GGUF (imatrix) and GGUF formats, totalling 12.8K downloads.
Specification
- Model name
- Phoenix-X-26B-A4B-Heretic
- Source repository
- alexokita/Phoenix-X-26B-A4B-Heretic
- Base model
- Vortex5/Phoenix-X-26B-A4B
- Publisher
- alexokita
- Parameters
- 26B (mixture-of-experts)
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Image text to text
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF (imatrix), GGUF
- First indexed
- 13 Aug 2026
- Last updated
- 14 Aug 2026
Ablation technique
How Phoenix-X-26B-A4B-Heretic was modified, and what that implies.
Heretic
Automated directional ablation via the Heretic toolchain, which searches for the refusal direction and applies it with a KL-divergence budget so general capability is preserved.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download mradermacher/Phoenix-X-26B-A4B-Heretic-i1-GGUF --local-dir ./phoenix-x-26b-a4b-heretic
llama-cli -m ./phoenix-x-26b-a4b-heretic/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "alexokita/Phoenix-X-26B-A4B-Heretic"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve alexokita/Phoenix-X-26B-A4B-Heretic --trust-remote-codeDownloads and variants (4)
Every published repository of Phoenix-X-26B-A4B-Heretic, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| mradermacher/Phoenix-X-26B-A4B-Heretic-i1-GGUF | GGUF (imatrix) | 10.6K |
| mradermacher/Phoenix-X-26B-A4B-Heretic-GGUF | GGUF | 1.2K |
| alexokita/Phoenix-X-26B-A4B-Heretic-i1-GGUF | GGUF (imatrix) | 890 |
| alexokita/Phoenix-X-26B-A4B-Hereticsource | Transformers | 107 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Phoenix-X-26B-A4B-Heretic will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- Capability is inherited from Vortex5/Phoenix-X-26B-A4B, not added by ablation — at 26B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- Declared licence is apache-2.0, but the terms that bind you are Vortex5/Phoenix-X-26B-A4B’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Phoenix-X-26B-A4B-Heretic is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with alexokita, and does not independently verify publisher claims. See responsible use.