aifeifei798 / Model details

LFM2.5-Queen-Opus-4.7-8B-A1B

aifeifei798/LFM2.5-Queen-Opus-4.7-8B-A1B

fine-tuned

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About this model

aifeifei798's LFM2.5-Queen-Opus-4.7-8B-A1B is a safetensors text-generation checkpoint, listed on Hugging Face as a fine-tuned derivative of aifeifei798/LFM2.5-Queen-8B-A1B. The model card describes the underlying base as Liquid AI's LFM2.5-8B-A1B sparse mixture-of-experts model and says this version was trained with LoRA (rank 16, alpha 32) on the lordx64-claude-opus-4.7-max-cleaned dataset, an SFT reasoning and roleplay dataset distilled from Claude Opus 4.7. The creator presents it as an exploratory study of a lightweight MoE architecture and reports strong native English roleplay and coding, but degraded Chinese cross-language performance with translation bleeding, pronoun confusion, code syntax mixing, and looping. The license is listed as 'other'. These observations are the creator's own experimental findings and have not been independently tested here.

Description sources

https://huggingface.co/aifeifei798/LFM2.5-Queen-Opus-4.7-8B-A1B/raw/53b62a6850dd8e011b8ac335bc0b0e1441e5f377/README.md ↗

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model: aifeifei798/LFM2.5-Queen-8B-A1B
Parameters: 8.46786B
Main repository formats: safetensors
License tag: other
Languages: ar, de, en, es, fr, ja, ko, pt, zh
Last updated: 2026-06-02 · 06:53:40.000 UTC

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

fine-tunedsource tag: base_model:finetune:aifeifei798/LFM2.5-Queen-8B-A1B

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

LFM: Base model: aifeifei798/LFM2.5-Queen-8B-A1B

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Main repository files ↗safetensors
No other explicitly linked versions recorded.

Refusal profile

Not yet measured: no GGUF version is available for our runner.

How we measure

Link to this listing

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Markdown

[Listed on Custom Clankers](https://customclankers.com/models/aifeifei798-lfm2-5-queen-opus-4-7-8b-a1b/)

HTML

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Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Tools to customize it further

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OBLITERATUS ↗ ★ 8,946
A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.

Fine-tune it on your own data

Unsloth ↗ ★ 78,528
A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.
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Make a smaller download (quantize)

llama.cpp ↗ ★ 132,260
Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.
MLX LM ↗ ★ 7,467
Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.

Merge it with another model

mergekit ↗ ★ 7,414
Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.

Learn the techniques

LLM Course ↗ ★ 84,667
A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

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Source provenance

Downloads: 47
Likes: 2
Metadata checked: 2026-10-25 · 08:11:54 UTC
First seen in index: 2026-10-25 · 08:11:54 UTC
Source revision: 53b62a6850dd8e011b8ac335bc0b0e1441e5f377

Source-card excerpt

Source model card excerpt: 📑 Model Card: LFM2.5-Queen-Opus-4.7-8B-A1B (Opus-4.7-Distilled Experimental) GGUF - - 1. Model Overview Base Model : Liquid AI LFM2.5-8B-A1B (Sparse Mixture of Experts MoE, ~8.3B

From aifeifei798/LFM2.5-Queen-Opus-4.7-8B-A1B. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

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