---

license: openmdw-1.1

base_model:

- Blackfrost-AI/Laguna-S-2.1-ABLITERATED

- poolside/Laguna-S-2.1

pipeline_tag: text-generation

library_name: gguf

tags:

- gguf

- quantized

- q6_k

- experimental

- research

- abliterated

- laguna

- moe

---

Laguna-S-2.1-ABLITERATED — GGUF (Q6_K)

> ⚠️ EXPERIMENTAL RESEARCH ARTIFACT. This is a quantization of an abliterated

> (refusal-suppressed) model intended for red-team, alignment, and robustness research.

> It is not a production model, is not safety-aligned, and behavior is not

> guaranteed. Use only in controlled, authorized settings.

Q6_K GGUF conversion of

Blackfrost-AI/Laguna-S-2.1-ABLITERATED,

itself an abliterated derivative of poolside/Laguna-S-2.1.

This repository contains only a format/precision conversion. No weights were retrained,

merged, or otherwise modified beyond quantization.

Files

| File | Size | Notes |

|---|---|---|

| Laguna-S-2.1-ABLITERATED-Q6_K-0000X-of-0000Y.gguf | ~98 GB total | Sharded to stay under the 50 GB per-file limit |

All shards are required. Point llama.cpp/Ollama at the first shard; the remainder load automatically.

Quantization details

| | |

|---|---|

| Source precision | BF16 safetensors (48 shards, ~219 GB) |

| Intermediate | BF16 GGUF (~235 GB), no lossy F16 downcast |

| Quant type | Q6_K (near-lossless; ~+0.02 ppl reference) |

| imatrix | Not used — importance-matrix calibration is only materially beneficial below ~Q5 |

| Tooling | poolsideai/llama.cpp branch laguna |

Q6_K was chosen deliberately. Abliteration already perturbs the residual stream, and the

upstream card notes coherence is not fully validated on this checkpoint. Stacking aggressive

low-bit quantization on top compounds that degradation, so the gentlest practical quant was used

rather than a smaller, faster one.

Requirements

The laguna architecture is not yet supported by mainline llama.cpp

(upstream PR ggml-org/llama.cpp#25165 pending).

Use the poolsideai/llama.cpp laguna branch, or a

runtime that already ships Laguna support.

Architecture

48 layers · hidden 3072 · 256 experts · 10 active per token · 117.6B total parameters ·

interleaved full/sliding attention · YaRN RoPE (1M context)

Retained guardrails

Carried forward from the upstream model card, unchanged: abliteration was not applied to —

and this model is not intended to assist with — **child sexual abuse material or the sexual

exploitation of minors, or self-harm/suicide facilitation**. These remain out of scope regardless

of the refusal suppression applied elsewhere. Do not use this model to pursue them.

Limitations & risks

• Refusal-suppressed: the model will attempt many requests an aligned model declines. The

operator bears full responsibility for prompts and outputs.

• Experimental: abliteration can degrade coherence, calibration, or reasoning in ways not yet

fully characterized on this checkpoint.

• Quantization: Q6_K is near-lossless but not lossless; it is not a fix for any coherence

issues inherited from the abliteration.

License

OpenMDW-1.1, inherited from poolside/Laguna-S-2.1 via the abliterated derivative.

See the upstream repositories for full license text.

Credits

• Base model: poolside — Laguna-S-2.1
• Abliteration: Blackfrost-AI
• GGUF conversion: this repository