Files
ModelHub XC 6107bcd6e5 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-i1-GGUF
Source: Original Platform
2026-06-12 14:20:18 +08:00

10 KiB

base_model, language, library_name, quantized_by
base_model language library_name quantized_by
stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated
en
transformers mradermacher

About

weighted/imatrix quants of https://huggingface.co/stepenZEN/DeepSeek-R1-Distill-Llama-8B-Abliterated

static quants are available at https://huggingface.co/mradermacher/DeepSeek-R1-Distill-Llama-8B-Abliterated-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 i1-IQ1_S 4.1 for the desperate
PART 1 PART 2 i1-IQ1_M 4.4 mostly desperate
PART 1 PART 2 i1-IQ2_XXS 4.9
PART 1 PART 2 i1-IQ2_XS 5.3
PART 1 PART 2 i1-IQ2_S 5.6
PART 1 PART 2 i1-IQ2_M 6.0
PART 1 PART 2 i1-Q2_K_S 6.1 very low quality
PART 1 PART 2 i1-Q2_K 6.5 IQ3_XXS probably better
PART 1 PART 2 i1-IQ3_XXS 6.6 lower quality
PART 1 PART 2 i1-IQ3_XS 7.1
PART 1 PART 2 i1-Q3_K_S 7.4 IQ3_XS probably better
PART 1 PART 2 i1-IQ3_S 7.5 beats Q3_K*
PART 1 PART 2 i1-IQ3_M 7.7
PART 1 PART 2 i1-Q3_K_M 8.1 IQ3_S probably better
PART 1 PART 2 i1-Q3_K_L 8.7 IQ3_M probably better
PART 1 PART 2 i1-IQ4_XS 9.0
PART 1 PART 2 i1-Q4_0 9.5 fast, low quality
PART 1 PART 2 i1-IQ4_NL 9.5 prefer IQ4_XS
PART 1 PART 2 i1-Q4_K_S 9.5 optimal size/speed/quality
PART 1 PART 2 i1-Q4_K_M 9.9 fast, recommended
PART 1 PART 2 i1-Q4_1 10.4
PART 1 PART 2 i1-Q5_K_S 11.3
PART 1 PART 2 i1-Q5_K_M 11.6
PART 1 PART 2 i1-Q6_K 13.3 practically like static Q6_K

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.