What are the hardware requirements for Open MOPD SmolLM3 3B MixSFT?

Open MOPD SmolLM3 3B MixSFT requires approximately 6.7 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Open MOPD SmolLM3 3B MixSFT and how large is it?

Open MOPD SmolLM3 3B MixSFT is developed by BytedTsinghua-SIA, a model with 3b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Open MOPD SmolLM3 3B MixSFT?

Open MOPD SmolLM3 3B MixSFT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open MOPD SmolLM3 3B MixSFT by BytedTsinghua-SIA — VRAM 6.7GB, 64K context

Name: Open MOPD SmolLM3 3B MixSFT
Author: BytedTsinghua-SIA

Open MOPD SmolLM3 3B MixSFT is an open-source language model by BytedTsinghua-SIA. Features: 3b LLM, VRAM: 6.7GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.32.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Conversational Dataset:bytedtsinghua-sia/open... En Endpoints compatible Open-mopd Region:us Safetensors Smollm3 Supervised-fine-tuning

Model Card on HF 🤗: https://huggingface.co/BytedTsinghua-SIA/Open-MOPD-SmolLM3-3B-MixSFT

Open MOPD SmolLM3 3B MixSFT Parameters and Internals

LLM Name	Open MOPD SmolLM3 3B MixSFT
Repository 🤗	https://huggingface.co/BytedTsinghua-SIA/Open-MOPD-SmolLM3-3B-MixSFT
Base Model(s)	SmolLM3 3B Base HuggingFaceTB/SmolLM3-3B-Base
Model Size	3b
Required VRAM	6.7 GB
Updated	2026-08-19
Maintainer	BytedTsinghua-SIA
Model Type	smollm3
Model Files	6.7 GB
Supported Languages	en
Model Architecture	SmolLM3ForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	5.3.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|im_end\|>
Vocabulary Size	128256

Rank the Open MOPD SmolLM3 3B MixSFT capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Open MOPD SmolLM3 3B MixSFT

Best Alternatives	Context / RAM	Downloads	Likes
SmolLM3 3B 128K	128K / 6.2 GB	14	1
SmolLM3 3B	64K / 6.2 GB	853423	987
...able SmolLM3 3B Claude Fable 5	64K / 6.1 GB	160	3
SmolLM3 3B Base	64K / 6.2 GB	158973	167
DANTE Mosaic 3.5B	64K / 6.2 GB	115	0
SmolLM3 3B GSM8K SFT	64K / 6.2 GB	152	2
Smollm3 3B Mlx	64K / 2.2 GB	22	0
SmolLM3 3B	64K / 6.2 GB	1547	9
SmolLM3 3B ONNX	64K / GB	175	27
EMOTRON 3B	64K / 6.2 GB	55	1

Note: green Score (e.g. "73.2") means that the model is better than BytedTsinghua-SIA/Open-MOPD-SmolLM3-3B-MixSFT.