What are the hardware requirements for Serenade Smollm2 135M Addition Pilot?

Serenade Smollm2 135M Addition Pilot 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 Serenade Smollm2 135M Addition Pilot and how large is it?

Serenade Smollm2 135M Addition Pilot is developed by Hans2929, 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 Serenade Smollm2 135M Addition Pilot?

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

Serenade Smollm2 135M Addition Pilot by Hans2929 — VRAM 0.5GB, 8K context

Name: Serenade Smollm2 135M Addition Pilot
Author: Hans2929

Serenade Smollm2 135M Addition Pilot is an open-source language model by Hans2929. Features: 135m LLM, VRAM: 0.5GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Arithmetic Base model:adapter:huggingface... Base model:huggingfacetb/smoll... Conversational En Endpoints compatible Experimental Instruct Llama Lora Region:us Safetensors Smol-course

Model Card on HF 🤗: https://huggingface.co/Hans2929/serenade-smollm2-135m-addition-pilot

Serenade Smollm2 135M Addition Pilot Parameters and Internals

LLM Name	Serenade Smollm2 135M Addition Pilot
Repository 🤗	https://huggingface.co/Hans2929/serenade-smollm2-135m-addition-pilot
Base Model(s)	SmolLM2 135M Instruct HuggingFaceTB/SmolLM2-135M-Instruct
Model Size	135m
Required VRAM	0.5 GB
Updated	2026-10-10
Maintainer	Hans2929
Model Type	llama
Instruction-Based	Yes
Model Files	0.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	5.18.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49152
Errors	replace

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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

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