What are the hardware requirements for Alpha 60M Base?

Alpha 60M Base requires approximately 0.2 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 Alpha 60M Base and how large is it?

Alpha 60M Base is developed by ajaxdavis, a model with 60m 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 Alpha 60M Base?

Alpha 60M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Alpha 60M Base by ajaxdavis — VRAM 0.2GB, 1K context

Name: Alpha 60M Base
Author: ajaxdavis

Alpha 60M Base is an open-source language model by ajaxdavis. Features: 60m LLM, VRAM: 0.2GB, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.26.

Alpha Conversational Dataset:huggingfacefw/finepdfs... En Endpoints compatible Experimental From-scratch Llama Region:us Safetensors Vulkan

Model Card on HF 🤗: https://huggingface.co/ajaxdavis/alpha-60m-base

Alpha 60M Base Parameters and Internals

LLM Name	Alpha 60M Base
Repository 🤗	https://huggingface.co/ajaxdavis/alpha-60m-base
Model Size	60m
Required VRAM	0.2 GB
Updated	2026-07-30
Maintainer	ajaxdavis
Model Type	llama
Model Files	0.2 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	1024
Model Max Length	1024
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	12288
Torch Data Type	float32

Rank the Alpha 60M 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 Alpha 60M Base

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Nyun C1 Llama3 60B	8K / 121.2 GB	5	6
Llama 60M Fresh	2K / 0.4 GB	53	1