What are the hardware requirements for Smollm2 135M SFT Only?

Smollm2 135M SFT Only requires approximately 0.3 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Smollm2 135M SFT Only and how large is it?

Smollm2 135M SFT Only is developed by HuggingFaceTB, a model with 12b 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 Smollm2 135M SFT Only?

Smollm2 135M SFT Only is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Smollm2 135M SFT Only by HuggingFaceTB — VRAM 0.3GB, 8K context

Name: Smollm2 135M SFT Only
Author: HuggingFaceTB

Smollm2 135M SFT Only is an open-source language model by HuggingFaceTB. Features: 12b LLM, VRAM: 0.3GB, Context: 8K, Instruction-Based.

Alignment-handbook Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Dataset:huggingfacetb/everyday... Dataset:huggingfacetb/explore-... Dataset:huggingfacetb/ifeval-l... Dataset:huggingfacetb/longalig... Dataset:huggingfacetb/magpie-u... Dataset:huggingfacetb/openherm... Dataset:huggingfacetb/self-oss... Dataset:huggingfacetb/smollm-v... Dataset:huggingfacetb/smollm-v... Dataset:huggingfacetb/summariz... Generated from trainer Instruct Llama Region:us Safetensors Sft Tensorboard Trl

Model Card on HF 🤗: https://huggingface.co/HuggingFaceTB/smollm2-135M-SFT-Only

Smollm2 135M SFT Only Parameters and Internals

LLM Name	Smollm2 135M SFT Only
Repository 🤗	https://huggingface.co/HuggingFaceTB/smollm2-135M-SFT-Only
Base Model(s)	HuggingFaceTB/135M-lc-100k-rope-12B HuggingFaceTB/135M-lc-100k-rope-12B
Model Size	12b
Required VRAM	0.3 GB
Updated	2026-11-04
Maintainer	HuggingFaceTB
Model Type	llama
Instruction-Based	Yes
Model Files	0.3 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Torch Data Type	bfloat16

Rank the Smollm2 135M SFT Only capabilities

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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 Smollm2 135M SFT Only

Best Alternatives	Context / RAM	Downloads	Likes
OpenCrystal 12B L3.1 128K	128K / 23 GB	4	3
OpenCrystal 12B L3	8K / 23 GB	17	17
Meta Llama 3 12B Instruct AWQ	8K / 7.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceTB/smollm2-135M-SFT-Only.