What are the hardware requirements for Neeps 125M Base?

Neeps 125M Base requires approximately 0.5 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Neeps 125M Base and how large is it?

Neeps 125M Base is developed by pdjamez, a model with 125m 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 Neeps 125M Base?

Neeps 125M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Neeps 125M Base by pdjamez — VRAM 0.5GB, 2K context

Name: Neeps 125M Base
Author: pdjamez

Neeps 125M Base is an open-source language model by pdjamez. Features: 125m LLM, VRAM: 0.5GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.31.

Base-model Dataset:huggingfacefw/fineweb-... En Endpoints compatible Llama Mlx Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pdjamez/Neeps-125M-Base

Neeps 125M Base Parameters and Internals

LLM Name	Neeps 125M Base
Repository 🤗	https://huggingface.co/pdjamez/Neeps-125M-Base
Model Size	125m
Required VRAM	0.5 GB
Updated	2026-09-22
Maintainer	pdjamez
Model Type	llama
Model Files	0.5 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.14.1
Tokenizer Class	TokenizersBackend
Padding Token	<pad>
Vocabulary Size	20000

Rank the Neeps 125M 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

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