What are the hardware requirements for Slm 500M Base?

Slm 500M Base requires approximately 1 GB of VRAM and supports a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Slm 500M Base and how large is it?

Slm 500M Base is developed by thesreedath, a model with 500m 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 Slm 500M Base?

Slm 500M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Slm 500M Base by thesreedath — VRAM 1GB, 1K context

Name: Slm 500M Base
Author: thesreedath

Slm 500M Base is an open-source language model by thesreedath. Features: 500m LLM, VRAM: 1GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.28.

Dataset:thesreedath/slm-pretra... En Endpoints compatible Finance From-scratch Legal Llama Region:us Safetensors Slm

Model Card on HF 🤗: https://huggingface.co/thesreedath/slm-500m-base

Slm 500M Base Parameters and Internals

LLM Name	Slm 500M Base
Repository 🤗	https://huggingface.co/thesreedath/slm-500m-base
Model Size	500m
Required VRAM	1 GB
Updated	2026-08-03
Maintainer	thesreedath
Model Type	llama
Model Files	1.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Transformers Version	4.46.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	32768
Torch Data Type	bfloat16

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Instruction Following and Task Automation
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Multi-Language Support and Translation

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