mradermacher/DeepSeek-V4-Flash-0731-Abliterated-FP8-GGUF

base_model: apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8
language:

• en
  library_name: transformers
  license: mit
  mradermacher:
  readme_rev: 1
  quantized_by: mradermacher
  tags:
• deepseek-v4
• mixture-of-experts
• abliterated
• fp8
• model-surgery
• mechanistic-interpretability

About

static quants of https://huggingface.co/apetersson/DeepSeek-V4-Flash-0731-Abliterated-FP8

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepSeek-V4-Flash-0731-Abliterated-FP8-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)

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

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.