---
base_model: agentlans/SmolLM2-135M-multilingual-base
datasets:
- agentlans/LinguaNova
language:
- 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
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
- multilingual
- language-model
- small-model
- transformer
- causal-lm
- autocomplete
- base-model
- research
- pretrained
- 50-languages
- experimental
- not-instruction-tuned
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
<!-- ### tags:  -->
<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
<!-- ### quants_skip:  -->
<!-- ### skip_mmproj:  -->
static quants of https://huggingface.co/agentlans/SmolLM2-135M-multilingual-base

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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#SmolLM2-135M-multilingual-base-GGUF).***

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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q2_K.gguf) | Q2_K | 0.2 |  |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q3_K_S.gguf) | Q3_K_S | 0.2 |  |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.IQ4_XS.gguf) | IQ4_XS | 0.2 |  |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q3_K_L.gguf) | Q3_K_L | 0.2 |  |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q5_K_S.gguf) | Q5_K_S | 0.2 |  |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q5_K_M.gguf) | Q5_K_M | 0.2 |  |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q6_K.gguf) | Q6_K | 0.2 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.Q8_0.gguf) | Q8_0 | 0.2 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/SmolLM2-135M-multilingual-base-GGUF/resolve/main/SmolLM2-135M-multilingual-base.f16.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](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.

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