abliteratedmodels.org

Borealis-Code-1.0

Borealis-Code-1.0 is a abliterated and uncensored variant of KellHect/Borealis-Code-1.0, published on Hugging Face by mradermacher. It is apache-2.0 licence. It is distributed across 4 repositories in GGUF and GGUF (imatrix) formats, totalling 7K downloads.

Abliteration + uncensored fine-tuneOther6,9801

Specification

Model name
Borealis-Code-1.0
Publisher
mradermacher
Parameters
Not determinable from name
Hardware class
Unknown
Licence
apache-2.0
Task
Unspecified
Context window
Not documented
Ablation scope
Not stated by the publisher
Formats available
GGUF, GGUF (imatrix)
First indexed
25 Aug 2026
Last updated
27 Aug 2026

Ablation technique

How Borealis-Code-1.0 was modified, and what that implies.

Abliteration + uncensored fine-tune

Directional ablation combined with additional fine-tuning on unfiltered data, so behaviour diverges from the base model beyond refusal removal alone.

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

For a convenient overview and download list, visit our model page for this model.

Running it

Commands are templates — confirm the exact repository and quant file before use.

llama.cpp / GGUF
hf download mradermacher/Borealis-Code-1.0-i1-GGUF --local-dir ./borealis-code-1.0
llama-cli -m ./borealis-code-1.0/<file>.gguf -p "..."
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer

repo = "mradermacher/Borealis-Code-1.0-i1-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
    repo, torch_dtype="auto", device_map="auto"
)
vLLM
vllm serve mradermacher/Borealis-Code-1.0-i1-GGUF --trust-remote-code

Downloads and variants (3)

Every published repository of Borealis-Code-1.0, including quantised re-releases by other authors.

Security-team assessment

Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.

  • Borealis-Code-1.0 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.
  • The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
  • This release adds fine-tuning on unfiltered data, so its behaviour diverges from the base model beyond refusal removal — differences you measure cannot be attributed to ablation alone.
  • Declared licence is apache-2.0, but the terms that bind you are KellHect/Borealis-Code-1.0’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 Borealis-Code-1.0 is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with mradermacher, and does not independently verify publisher claims. See responsible use.