Spark-X2.6-4B-abliterated
4BOther
from XHToken/Spark-X2.6-4B
↓ 9.2K♥ 127 repos
Spark-X2.6-4B-abliterated-FIT
Spark-X2.6-4B-abliterated-FIT is a refusal-ablated variant of XHToken/Spark-X2.6-4B, published on Hugging Face by SC117. It is 4B parameters, single consumer GPU class and apache-2.0 licence. It is distributed across 2 repositories in GGUF format, totalling 38.4K downloads.
Specification
- Model name
- Spark-X2.6-4B-abliterated-FIT
- Source repository
- SC117/Spark-X2.6-4B-abliterated-FIT-GGUF
- Base model
- XHToken/Spark-X2.6-4B
- Publisher
- SC117
- Parameters
- 4B
- VRAM required
- ~3.2 GB at Q4_K_M, 4k context (estimated) — runs on 4 GB cards
- Hardware class
- 4B – 10B — single consumer GPU
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- GGUF
- First indexed
- 22 Oct 2026
- Last updated
- 22 Oct 2026
Ablation technique
How Spark-X2.6-4B-abliterated-FIT was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
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
“Five fidelity tiers of a 4B hybrid-attention model — each one the smallest GGUF that provably meets its KL gate, re-measured on its own shipped bytes.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download SC117/Spark-X2.6-4B-abliterated-FIT-GGUF --local-dir ./spark-x2.6-4b-abliterated-fit
llama-cli -m ./spark-x2.6-4b-abliterated-fit/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "SC117/Spark-X2.6-4B-abliterated-FIT-GGUF"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve SC117/Spark-X2.6-4B-abliterated-FIT-GGUF --trust-remote-codeDownloads and variants (1)
The only published repository of Spark-X2.6-4B-abliterated-FIT.
| Repository | Format | Downloads |
|---|---|---|
| SC117/Spark-X2.6-4B-abliterated-FIT-GGUFsource | GGUF | 38.4K |
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Spark-X2.6-4B-abliterated-FIT 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 XHToken/Spark-X2.6-4B, not added by ablation — at 4B parameters, expect a small model’s reasoning and a high error rate on exploit detail.
- 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 XHToken/Spark-X2.6-4B’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 Spark-X2.6-4B-abliterated-FIT is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with SC117, and does not independently verify publisher claims. See responsible use.