What are the hardware requirements for Slm125mlive Base?

Slm125mlive Base requires approximately 0.5 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 Slm125mlive Base and how large is it?

Slm125mlive Base is developed by nagbhaskar55, a model with 125.8m 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 Slm125mlive Base?

Slm125mlive Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Slm125mlive Base by nagbhaskar55 — VRAM 0.5GB, 1K context

Name: Slm125mlive Base
Author: nagbhaskar55

Slm125mlive Base is an open-source language model by nagbhaskar55. Features: 125.8m LLM, VRAM: 0.5GB, Context: 1K, License: other, LLM Explorer Score: 0.29.

Base-model Dataset:hfforlegal/case-law Dataset:huggingfacefw/fineweb-... Dataset:pleias/sec En Endpoints compatible Finance Legal Llama Pretrained-from-scratch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nagbhaskar55/slm125mlive-base

Slm125mlive Base Parameters and Internals

LLM Name	Slm125mlive Base
Repository 🤗	https://huggingface.co/nagbhaskar55/slm125mlive-base
Model Size	125.8m
Required VRAM	0.5 GB
Updated	2026-09-22
Maintainer	nagbhaskar55
Model Type	llama
Model Files	0.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	other
Context Length	1024
Model Max Length	1024
Transformers Version	4.57.6
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad\|>
Vocabulary Size	16384

Rank the Slm125mlive Base 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 Slm125mlive Base

Best Alternatives	Context / RAM	Downloads	Likes
Slm125m Live	1K / 0.3 GB	780	0
Slm125m Base	1K / 0.5 GB	18	0