MODEL PROFILE

LFM2.5-2.6B-UNCENSORED-ABLITERATED-PHILADELPHIA-CLASS

PhillyLabs · LFM2.5-2.6B-UNCENSORED-ABLITERATED-PHILADELPHIA-CLASS

**This is LiquidAI's LFM2.5-2.6B with its refusal behavior aggressively reduced.** It keeps the compact 2.7B hybrid architecture, but answers requests the stock post-trained model refused. In our tests, refusals fell from 132/842 to 8/842 and from 19/126 to 1/126 on a held-out set, while the average change across five public capability benchmarks was only -0.50 percentage points. **PHILADELPHIA CLASS** includes the full BF16 checkpoint as one `model.safetensors` file plus a tested BF16 GGUF for llama.cpp. Both retain LFM2.5's tokenizer, reasoning chat template, and 128K configured context. This repository redistributes modified model weight files derived from `LiquidAI/LFM2.5-2.6B` at revision `dca1825886789bd40b94368f53b1d9ada4c94598`. The local untouched checkpoint was verified against all 11 files in that Hub revision before release preparation.

Text generationreasoninglicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:17:17
OVERVIEW

Model overview

**This is LiquidAI's LFM2.5-2.6B with its refusal behavior aggressively reduced.** It keeps the compact 2.7B hybrid architecture, but answers requests the stock post-trained model refused. In our tests, refusals fell from 132/842 to 8/842 and from 19/126 to 1/126 on a held-out set, while the average change across five public capability benchmarks was only -0.50 percentage points. **PHILADELPHIA CLASS** includes the full BF16 checkpoint as one `model.safetensors` file plus a tested BF16 GGUF for llama.cpp. Both retain LFM2.5's tokenizer, reasoning chat template, and 128K configured context. This repository redistributes modified model weight files derived from `LiquidAI/LFM2.5-2.6B` at revision `dca1825886789bd40b94368f53b1d9ada4c94598`. The local untouched checkpoint was verified against all 11 files in that Hub revision before release preparation.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。