Files
ModelHub XC 8681b22ea2 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/SmolLM2-135M-multilingual-base-GGUF
Source: Original Platform
2026-04-11 22:23:00 +08:00

4.4 KiB

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
agentlans/SmolLM2-135M-multilingual-base
agentlans/LinguaNova
multilingual
ar
az
bg
bn
ca
cs
da
de
el
en
es
et
fa
fi
fr
he
hi
hu
hy
id
is
it
ja
ka
kk
ko
lt
lv
mk
ml
mr
ne
nl
no
pl
pt
ro
ru
sk
sl
sq
sr
sv
ta
th
tr
uk
ur
vi
zh
transformers apache-2.0
readme_rev
1
mradermacher
multilingual
language-model
small-model
transformer
causal-lm
autocomplete
base-model
research
pretrained
50-languages
experimental
not-instruction-tuned

About

static quants of https://huggingface.co/agentlans/SmolLM2-135M-multilingual-base

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

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 0.2
GGUF Q3_K_S 0.2
GGUF IQ4_XS 0.2
GGUF Q3_K_M 0.2 lower quality
GGUF Q3_K_L 0.2
GGUF Q4_K_S 0.2 fast, recommended
GGUF Q4_K_M 0.2 fast, recommended
GGUF Q5_K_S 0.2
GGUF Q5_K_M 0.2
GGUF Q6_K 0.2 very good quality
GGUF Q8_0 0.2 fast, best quality
GGUF f16 0.4 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.