ModelHub XC 77db6fd1c0 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Phi-4-mini-instruct-heretic-GGUF
Source: Original Platform
2026-05-02 21:13:11 +08:00

base_model, language, library_name, license, license_link, mradermacher, quantized_by, tags
base_model language library_name license license_link mradermacher quantized_by tags
DrRiceIO7/Phi-4-mini-instruct-heretic
multilingual
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nl
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transformers mit https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
readme_rev
1
mradermacher
nlp
code
heretic
uncensored
decensored
abliterated

About

static quants of https://huggingface.co/DrRiceIO7/Phi-4-mini-instruct-heretic

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Phi-4-mini-instruct-heretic-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF Q2_K 1.8
GGUF Q3_K_S 2.0
GGUF Q3_K_M 2.2 lower quality
GGUF IQ4_XS 2.3
GGUF Q3_K_L 2.3
GGUF Q4_K_S 2.4 fast, recommended
GGUF Q4_K_M 2.6 fast, recommended
GGUF Q5_K_S 2.8
GGUF Q5_K_M 2.9
GGUF Q6_K 3.3 very good quality
GGUF Q8_0 4.2 fast, best quality
GGUF f16 7.8 16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.

Description
Model synced from source: mradermacher/Phi-4-mini-instruct-heretic-GGUF
Readme 27 KiB