What are the hardware requirements for Llama2 Xs 460M Experimental?

Llama2 Xs 460M Experimental requires approximately 0.9 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 Llama2 Xs 460M Experimental and how large is it?

Llama2 Xs 460M Experimental is developed by ahxt, a model with 460m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama2 Xs 460M Experimental perform on standard benchmarks?

Llama2 Xs 460M Experimental has the following published scores: MMLU 26.17. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama2 Xs 460M Experimental by ahxt — VRAM 0.9GB, 1K context

Name: Llama2 Xs 460M Experimental
Author: ahxt

Llama2 Xs 460M Experimental is an open-source language model by ahxt. Features: 460m LLM, VRAM: 0.9GB, Context: 1K, LLM Explorer Score: 0.14, Arc: 24.9, HellaSwag: 38.5, MMLU: 26.2.

Dataset:redpajama En Endpoints compatible Llama Llama2 Llama2 architecture Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/ahxt/llama2_xs_460M_experimental

Llama2 Xs 460M Experimental Benchmarks

ARC: 24.91 vs 96.7 (so35)^-74.2%

HellaSwag: 38.47 vs 95.3 (gpt4)^-59.6%

MMLU: 26.17 vs 88.3 (so35)^-70.4%

LLME Score: 0.1403

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Llama2 Xs 460M Experimental (ahxt/llama2_xs_460M_experimental)

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Llama2 Xs 460M Experimental Parameters and Internals

Model Type

large language model

Training Details

Data Sources:

RedPajama

LLM Name	Llama2 Xs 460M Experimental
Repository 🤗	https://huggingface.co/ahxt/llama2_xs_460M_experimental
Model Size	460m
Required VRAM	0.9 GB
Updated	2026-05-16
Maintainer	ahxt
Model Type	llama
Model Files	0.9 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.31.0
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	<\|endoftext\|>
End of Sentence Token	<\|endoftext\|>
Unk Token	<\|endoftext\|>
Vocabulary Size	50304
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Llama2 Xs 460M Experimental

Best Alternatives	Context / RAM	Downloads	Likes
LLAMA 2 460M	4K / 1.8 GB	5	0
TeenyTinyLlama Doc 460M Chat	2K / 1.9 GB	10	0
Doctor Llama Chat	2K / 1.9 GB	10	0
TeenyTinyLlama Doc 460M	2K / 0 GB	8	0
Doctor Llama 460M	2K / 0 GB	5	0
TeenyTinyLlama 460M	2K / 1.9 GB	1423	12
TeenyTinyLlama 460M Chat	2K / 0 GB	954	3
...60M Experimental Ptbr Instruct	2K / 0.9 GB	8	4
DiscordLLama 460M	2K / 0.8 GB	8	0
Lite Vortex	1K / 0.9 GB	9	2

Rank the Llama2 Xs 460M Experimental 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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Llama2 Xs 460M Experimental by ahxt

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Llama2 Xs 460M Experimental Benchmarks

Llama2 Xs 460M Experimental Parameters and Internals

Best Alternatives to Llama2 Xs 460M Experimental

Rank the Llama2 Xs 460M Experimental Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.