# LFM3 1.7B Uncensored GGUF

URL: https://interfaze.ai/models/atomicchatlfm3-17b-uncensored-gguf

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LFM3 1.7B Uncensored GGUF by AtomicChat, a text-generation model. Understand and compare features, benchmarks, and capabilities.

## Comparison

| Feature | LFM3 1.7B Uncensored GGUF | Interfaze |
| --- | --- | --- |
| Input Modalities | text | image, text, audio, video, document |
| Native OCR | No | Yes |
| Long Document Processing | No | Yes |
| Language Support | 16 partial | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | 262.1K | 1M |
| Tool Calling | Yes | Tool calling supported + built in browser, code execution and web search |

### Scaling

| Feature | LFM3 1.7B Uncensored GGUF | Interfaze |
| --- | --- | --- |
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/AtomicChat/LFM3-1.7B-Uncensored-GGUF)

Safety-ablated GGUF of [LiquidAI/LFM3-1.7B](https://huggingface.co/LiquidAI/LFM3-1.7B). A projected rank-1 LoRA (direction = mean harmful − mean harmless activations, with the harmless component projected out) is baked into the weights at W\*=2.0, then AD-quantized.

## What changed (measured)

| metric | base | uncensored |
| --- | --- | --- |
| refusals on harmful prompts | 61.7% | 0.0% |
| false refusals (XSTest) | 5.2% | 0.0% |
| MMLU (2000 q) | 41.0% | 41.0% (McNemar p=1.0 — no drop) |
| needle (long context) | 3/3 | 3/3 |
| ΔKLD vs base (neutral) | — | +0.019 |

A random edit of the same size dropped MMLU 1.3pp and had a larger ΔKLD (0.028), so the targeted direction is both more effective and less damaging. Thinking-loop and empty-output checks pass at W\*=2.0.

## Rungs

| Rung | GB on disk | bpw |
| --- | --- | --- |
| AD-Q6\_K | 1.6 | 7.31 |
| AD-Q4\_K\_M | 1.1 | 5.20 |

## Run (llama.cpp)

Needs a build with LFM3 support (merged in llama.cpp #31252; produced at llama.cpp `19cce69`).

```
llama-cli -hf AtomicChat/LFM3-1.7B-Uncensored-GGUF:AD-Q4_K_M -p "Hello"
```

## Base model & license

Base model: [LiquidAI/LFM3-1.7B](https://huggingface.co/LiquidAI/LFM3-1.7B). License: LFM Open License v1.0 (see `LICENSE`). This removes safety refusals; use responsibly and in line with the base license.

Quants by AtomicChat.

## Want more deterministic results?

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