What are the hardware requirements for SmolLM2 135M Instruct Clinical Note?

SmolLM2 135M Instruct Clinical Note requires approximately 0.5 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 Instruct Clinical Note and how large is it?

SmolLM2 135M Instruct Clinical Note is developed by fahmiaziz, a model with 135m 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 Instruct Clinical Note?

SmolLM2 135M Instruct Clinical Note is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

SmolLM2 135M Instruct Clinical Note by fahmiaziz — VRAM 0.5GB, 8K context

Name: SmolLM2 135M Instruct Clinical Note
Author: fahmiaziz

SmolLM2 135M Instruct Clinical Note is an open-source language model by fahmiaziz. Features: 135m LLM, VRAM: 0.5GB, Context: 8K, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:huggingfac... Base model:huggingfacetb/smoll... Clinical-note Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors Sft Summarization Trl

Model Card on HF 🤗: https://huggingface.co/fahmiaziz/SmolLM2-135M-Instruct-Clinical-Note

SmolLM2 135M Instruct Clinical Note Parameters and Internals

LLM Name	SmolLM2 135M Instruct Clinical Note
Repository 🤗	https://huggingface.co/fahmiaziz/SmolLM2-135M-Instruct-Clinical-Note
Model Name	SmolLM2-135M-Instruct-Clinical-Note
Base Model(s)	SmolLM2 135M Instruct HuggingFaceTB/SmolLM2-135M-Instruct
Model Size	135m
Required VRAM	0.5 GB
Updated	2026-09-21
Maintainer	fahmiaziz
Model Type	llama
Instruction-Based	Yes
Model Files	0.5 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.51.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Torch Data Type	float32

Rank the SmolLM2 135M Instruct Clinical Note 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 Instruct Clinical Note

Best Alternatives	Context / RAM	Downloads	Likes
SmolLM2 135M Sukshma	8K / GB	150	1
SmolLM2 135M Instruct	8K / 0.3 GB	1857297	388
Digest Sft2	8K / 0.5 GB	178	0
SmolLM2 135M Reasoning 5K	8K / 0.3 GB	276	3
... Subtitle Postprocessor Merged	8K / 0.5 GB	16	1
SmolLM2 135M Instruction Tuned	8K / 0.3 GB	10	0
SmolLM2 Rethink 135M	8K / 0.5 GB	6	2
SmolLM2 135M Instruct	8K / 0.3 GB	4887	3
SmolLM2 135M Instruct Ita	8K / 0.1 GB	24	0
...molLM2 135M Instruct Reasoning	8K / 0.3 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than fahmiaziz/SmolLM2-135M-Instruct-Clinical-Note.