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K2-Horizon-32B-heretic
K2-Horizon-32B-heretic is a Heretic-ablated variant of IFM/K2-Horizon-32B, published on Hugging Face by soyaakinohara. It is 32B parameters, 48GB VRAM class class and apache-2.0 licence. It is distributed across 5 repositories in GGUF, Transformers and GGUF (imatrix) formats, totalling 7.7K downloads.
Specification
- Model name
- K2-Horizon-32B-heretic
- Source repository
- soyaakinohara/K2-Horizon-32B-heretic
- Base model
- IFM/K2-Horizon-32B
- Publisher
- soyaakinohara
- Parameters
- 32B
- VRAM required
- ~20.3 GB at Q4_K_M, 4k context (estimated) — runs on 24 GB cards
- Hardware class
- 25B – 50B — 48GB VRAM class
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF, Transformers, GGUF (imatrix)
- First indexed
- 6 Sept 2026
- Last updated
- 15 Oct 2026
Ablation technique
How K2-Horizon-32B-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.
From the publisher’s model card
“The pipeline is: Heretic refusal attenuation (trial 124: 3/100 refusals, KL divergence 0.056) → LoRA merge into the base BF16 weights. This release is the merged full-precision model with no further training.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download mradermacher/K2-Horizon-32B-heretic-i1-GGUF --local-dir ./k2-horizon-32b-heretic
llama-cli -m ./k2-horizon-32b-heretic/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "soyaakinohara/K2-Horizon-32B-heretic"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve soyaakinohara/K2-Horizon-32B-heretic --trust-remote-codeDownloads and variants (4)
Every published repository of K2-Horizon-32B-heretic, including quantised re-releases by other authors.
| Repository | Format | Downloads |
|---|---|---|
| mradermacher/K2-Horizon-32B-heretic-i1-GGUF | GGUF (imatrix) | 6.2K |
| mradermacher/K2-Horizon-32B-heretic-GGUF | GGUF | 1.2K |
| soyaakinohara/K2-Horizon-32B-heretic-gguf | GGUF | 217 |
| soyaakinohara/K2-Horizon-32B-hereticsource | Transformers | 82 |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- K2-Horizon-32B-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 IFM/K2-Horizon-32B, not added by ablation — at 32B 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 IFM/K2-Horizon-32B’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 K2-Horizon-32B-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 soyaakinohara, and does not independently verify publisher claims. See responsible use.