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Model: zaakirio/LFM2.5-8B-A1B-Uncensored-GGUF
Source: Original Platform

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README.md

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+---
+base_model: zaakirio/LFM2.5-8B-A1B-Uncensored
+base_model_relation: quantized
+quantized_by: zaakirio
+license: other
+license_name: lfm1.0
+license_link: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B/blob/main/LICENSE
+library_name: gguf
+pipeline_tag: text-generation
+language:
+- en
+- ar
+- zh
+- fr
+- de
+- ja
+- ko
+- es
+- pt
+tags:
+- heretic
+- abliterated
+- decensored
+- uncensored
+- liquid
+- lfm2
+- lfm2.5
+- moe
+- edge
+- gguf
+- llama.cpp
+- conversational
+---
+
+# LFM2.5-8B-A1B-Uncensored — GGUF
+
+GGUF quantizations of [`zaakirio/LFM2.5-8B-A1B-Uncensored`](https://huggingface.co/zaakirio/LFM2.5-8B-A1B-Uncensored),
+a decensored ([Heretic](https://github.com/p-e-w/heretic)-abliterated) version of
+[`LiquidAI/LFM2.5-8B-A1B`](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B).
+
+These files run with [llama.cpp](https://github.com/ggml-org/llama.cpp) and any
+tool built on it e.g. **Ollama**, **LM Studio**, **textgen**, etc.
+
+> **Requires a recent llama.cpp build with LFM2 MoE support.** This model uses
+> the `lfm2moe` architecture (hybrid short-conv + attention with 32 experts,
+> 4 active per token). Only llama.cpp builds that include `Lfm2MoeForCausalLM`
+> support can load these files. Use a current release (or current Ollama /
+> LM Studio). Older builds will fail with an "unknown architecture 'lfm2moe'"
+> error.
+
+## Files
+
+| File | Quant | Size | BPW | Notes |
+|---|---|---|---|---|
+| `LFM2.5-8B-A1B-Uncensored-Q2_K.gguf` | Q2_K | 3.0 GB | 3.01 | Smallest; significant quality loss but works on very constrained hardware. |
+| `LFM2.5-8B-A1B-Uncensored-Q3_K_S.gguf` | Q3_K_S | 3.5 GB | 3.54 | Small, lower quality. |
+| `LFM2.5-8B-A1B-Uncensored-Q3_K_M.gguf` | Q3_K_M | 3.9 GB | 3.87 | Small; some quality loss. |
+| `LFM2.5-8B-A1B-Uncensored-IQ4_XS.gguf` | IQ4_XS | 4.3 GB | 4.25 | Smaller than Q4_K_S with comparable quality; uses iquant scheme. |
+| `LFM2.5-8B-A1B-Uncensored-Q4_K_S.gguf` | Q4_K_S | 4.6 GB | 4.59 | Slightly smaller than Q4_K_M. |
+| `LFM2.5-8B-A1B-Uncensored-Q4_K_M.gguf` | Q4_K_M | 4.9 GB | 4.85 | **Recommended** — best size/quality balance for most users. |
+| `LFM2.5-8B-A1B-Uncensored-Q5_K_S.gguf` | Q5_K_S | 5.5 GB | 5.49 | Higher quality. |
+| `LFM2.5-8B-A1B-Uncensored-Q5_K_M.gguf` | Q5_K_M | 5.7 GB | 5.69 | Higher quality, marginally larger. |
+| `LFM2.5-8B-A1B-Uncensored-Q6_K.gguf` | Q6_K | 6.5 GB | 6.56 | Near-lossless. |
+| `LFM2.5-8B-A1B-Uncensored-Q8_0.gguf` | Q8_0 | 8.4 GB | 8.50 | Effectively lossless vs the BF16 source. |
+| `LFM2.5-8B-A1B-Uncensored-BF16.gguf` | BF16 | 16 GB | 16.00 | Full precision, identical numerics to the source HF model. |
+
+Not sure which to pick? Start with **Q4_K_M**. Go up to Q5/Q6/Q8 if you have
+the memory and want maximum fidelity; drop to Q3 or Q2 only if you're memory-constrained.
+Because this is an MoE with only ~1B active parameters per token, inference
+throughput is fast even at the larger quants if your hardware has the RAM.
+
+## Usage
+
+### llama.cpp (auto-download from this repo)
+
+```bash
+# Interactive chat — downloads the chosen quant automatically
+llama-cli -hf zaakirio/LFM2.5-8B-A1B-Uncensored-GGUF:Q4_K_M
+
+# OpenAI-compatible server
+llama-server -hf zaakirio/LFM2.5-8B-A1B-Uncensored-GGUF:Q4_K_M -c 4096
+```
+
+Or, with a file you've already downloaded:
+
+```bash
+llama-cli -m LFM2.5-8B-A1B-Uncensored-Q4_K_M.gguf -p "Hello, who are you?"
+```
+
+### Ollama
+
+```bash
+ollama run hf.co/zaakirio/LFM2.5-8B-A1B-Uncensored-GGUF:Q4_K_M
+```
+
+### LM Studio / Jan
+
+Search for `zaakirio/LFM2.5-8B-A1B-Uncensored-GGUF` in the in-app model browser,
+or download a `.gguf` file from this page and load it.
+
+### Download a single file
+
+```bash
+pip install -U "huggingface_hub[cli]"
+hf download zaakirio/LFM2.5-8B-A1B-Uncensored-GGUF \
+  --include "LFM2.5-8B-A1B-Uncensored-Q4_K_M.gguf" --local-dir ./
+```
+
+## Prompt format
+
+The chat template is embedded in the GGUF files, so chat-aware tools apply it
+automatically. For reference, it is ChatML-style:
+
+```
+<|startoftext|><|im_start|>system
+{system_prompt}<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+```
+
+## About the base model
+
+This is a decensored derivative produced with [Heretic](https://github.com/p-e-w/heretic)
+(automatic directional ablation). Compared with the original `LFM2.5-8B-A1B`:
+
+| Metric | Decensored | Original |
+|---|---|---|
+| Refusals (/100 harmful prompts) | 0 | 0 |
+| KL divergence (harmless prompts) | 0.0481 | 0 (by definition) |
+
+The base `LFM2.5-8B-A1B` measured 0–2 / 100 refusals on Heretic's marker-based
+detector (compared to ~98 / 100 for its smaller sibling), suggesting it is
+comparatively compliant out of the box. The abliteration still makes real,
+measurable changes to the attention and dense MLP projections (KL ≈ 0.05).
+
+See the [source model card](https://huggingface.co/zaakirio/LFM2.5-8B-A1B-Uncensored)
+for the full abliteration parameters and run details.
+
+## Intended use & disclaimer
+
+This model has had its refusal behavior substantially removed and will comply
+with requests the original model would have declined. It is provided for
+research and unrestricted local use. **You are responsible for how you use it**
+and for complying with all applicable laws and with the base model's
+[lfm1.0 license](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B/blob/main/LICENSE),
+which carries over to this derivative.
+
+## Provenance
+
+- Quantized from `zaakirio/LFM2.5-8B-A1B-Uncensored` (BF16) using llama.cpp `convert_hf_to_gguf.py` + `llama-quantize`.
+- Base model: [LiquidAI/LFM2.5-8B-A1B](https://huggingface.co/LiquidAI/LFM2.5-8B-A1B)
+- Decensoring tool: [Heretic](https://github.com/p-e-w/heretic) by p-e-w