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)
| Link | Type | Size/GB | Notes |
|---|---|---|---|
| PART 1 PART 2 PART 3 | Q2_K | 103.2 | |
| PART 1 PART 2 PART 3 | Q3_K_S | 122.6 | |
| PART 1 PART 2 PART 3 | Q3_K_M | 135.4 | lower quality |
| PART 1 PART 2 PART 3 PART 4 | Q3_K_L | 146.5 | |
| PART 1 PART 2 PART 3 PART 4 | IQ4_XS | 153.1 | |
| PART 1 PART 2 PART 3 PART 4 | Q4_K_S | 161.6 | fast, recommended |
| PART 1 PART 2 PART 3 PART 4 | Q4_K_M | 171.9 | fast, recommended |
| P1 P2 P3 P4 P5 | Q5_K_S | 195.7 | |
| P1 P2 P3 P4 P5 | Q5_K_M | 201.7 | |
| P1 P2 P3 P4 P5 | Q6_K | 233.4 | very good quality |
| P1 P2 P3 P4 P5 P6 P7 | Q8_0 | 302.3 | fast, best quality |
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.