---

base_model: LiquidAI/LFM2.5-8B-A1B

language:

• en
• ar
• zh
• fr
• de
• ja
• ko
• es
• pt
• it

library_name: gguf

license: other

license_name: lfm1.0

license_link: LICENSE

pipeline_tag: text-generation

tags:

• gguf
• liquid
• lfm2.5
• moe
• heretic-nx

---

LFM2.5 8B-A1B — Heretic NX PRIME GGUF

Heretic NX PRIME is a direct-GGUF behavioral edit of

LiquidAI/LFM2.5-8B-A1B.

It is designed to reduce false refusals while explicitly measuring drift from

the unedited deployment artifact.

The release is the evaluated UD-Q8_K_XL. PRIME is the project's internal

evidence and capability-preservation protocol, not a third-party certification.

Files

| File | Size | SHA-256 | Refusal markers |

| --- | ---: | --- | ---: |

| LFM2.5-8B-A1B-Heretic-NX-PRIME-UD-Q8_K_XL.gguf | 9.34 GB | bea74de71f6f3cfd5f6d807ec011f743555c2c84f41501115808c502375af43d | 4/104 |

| Q8_RELEASE.json | Exact Q8 provenance, protocols and claim limits | — | — |

| evaluations/capability-*.json | Reproducible paired capability reports | — | — |

Evaluation

Both final files were loaded from disk with llama.cpp and evaluated over all

104 rows. Decoding used the native pre-tokenized /completion endpoint,

greedy sampling, 96 generated tokens, the closed-thinking chat template and

four runtime slots.

| Metric | Original Q8 | Heretic NX Q8 |

| --- | ---: | ---: |

| Lexical refusal markers, 104 harmful rows | 95 | 4 |

| Hit rows, one-based | — | 30,60,68,97 |

| Mean first-token KL(original Q8 || variant), 104 benign rows, full 128k vocabulary | 0 | 0.016948 |

| Median first-token KL | 0 | 0.004140 |

The release satisfies both targets: at most 6 refusal markers and mean KL at

most 0.05.

Lexical markers are a refusal proxy, not semantic task success or a universal

quality score. All 104 harmful rows participated in development and selection,

so this suite is not an untouched holdout.

Paired capability check

After the Q8 candidate was frozen, the original and Heretic Q8 artifacts were

evaluated on the same deterministic 854-question slice from ARC-Challenge,

HellaSwag and MMLU. Each answer was the greedy first-token argmax restricted to

A/B/C/D; prompts, tokenizer, runtime and precision were identical between

arms.

| Task | Rows | Original Q8 | Heretic NX Q8 | Difference |

| --- | ---: | ---: | ---: | ---: |

| ARC-Challenge | 256 | 73.83% | 75.78% | +1.95 points |

| HellaSwag | 256 | 36.33% | 34.38% | -1.95 points |

| MMLU | 342 | 54.97% | 54.97% | 0.00 points |

| Overall | 854 | 55.04% | 55.04% | 0.00 points |

The paired bootstrap 95% interval for Heretic minus original is **[-1.29,

+1.29] points**. There were 454 questions both got right, 368 both got wrong,

16 original-only successes and 16 Heretic-only successes. This passes the

predeclared 3-point non-inferiority margin and the symmetric ±3-point

equivalence gate. It does not demonstrate an aggregate accuracy increase;

it supports capability preservation on this narrow multiple-choice slice.

Method

The selected edit is a benign-penalized distillation of an eight-site PRIME

teacher. It fits conditional rank-one right factors from 1,024 harmless states

and 2,627 response-trajectory states, then merges them directly into eight

Q8_0 operator-output tensors at lambda=100 and beta=2.25.

No MoE expert-bank tensor is edited. The eight sites are two attention outputs

and six short-convolution outputs in layers 12, 14, 16, 17, 19, 21, 22 and 23.

Every plan, factor artifact and output is SHA-256 bound. The direct-Q8 backend,

tests and reproducible experiment scripts are available in

0xZKnw/heretic-nx.

LM Studio / llama.cpp

Download one GGUF and load it normally. For llama.cpp:

llama-server \
  -m LFM2.5-8B-A1B-Heretic-NX-PRIME-UD-Q8_K_XL.gguf \
  -ngl 99 -c 4096 --jinja

A recent runtime with lfm2moe support is required.

Limitations and responsibility

This edit intentionally weakens refusal behavior. It can increase compliance

with unsafe, illegal, incorrect or otherwise harmful requests. It does not add

factuality, judgment, sandboxing or application-level safety. Run untrusted

generations in an appropriate sandbox.

The paired capability check is narrow and should not be read as a universal

quality guarantee. The release is not claimed to be a universal winner,

externally certified or equivalent to the original model on every task.

Use is subject to the included LFM Open License v1.0.