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

Llama2 Xs 460M Experimental Platypus requires approximately 1.9 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 Platypus and how large is it?

Llama2 Xs 460M Experimental Platypus is developed by Felladrin, a model with 460m 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 Llama2 Xs 460M Experimental Platypus?

Llama2 Xs 460M Experimental Platypus is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2 Xs 460M Experimental Platypus by Felladrin — VRAM 1.9GB, 1K context

Name: Llama2 Xs 460M Experimental Platypus
Author: Felladrin

Llama2 Xs 460M Experimental Platypus is an open-source language model by Felladrin. Features: 460m LLM, VRAM: 1.9GB, Context: 1K, LLM Explorer Score: 0.1.

Base model:ahxt/llama2 xs 460m... Base model:finetune:ahxt/llama... Dataset:garage-baind/open-plat... Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Felladrin/llama2_xs_460M_experimental_platypus

Llama2 Xs 460M Experimental Platypus Parameters and Internals

Additional Notes

Trained on Open-Platypus dataset and available in other ML formats like GGUF.

Training Details

Data Sources:

garage-bAInd/Open-Platypus

Methodology:

AutoTrain Advanced

LLM Name	Llama2 Xs 460M Experimental Platypus
Repository 🤗	https://huggingface.co/Felladrin/llama2_xs_460M_experimental_platypus
Base Model(s)	Llama2 Xs 460M Experimental ahxt/llama2_xs_460M_experimental
Model Size	460m
Required VRAM	1.9 GB
Updated	2026-07-30
Maintainer	Felladrin
Model Type	llama
Model Files	1.9 GB 0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	1024
Model Max Length	1024
Transformers Version	4.34.1
Tokenizer Class	GPT2Tokenizer
Padding Token	"
Vocabulary Size	50257
Torch Data Type	float32
Errors	replace

Rank the Llama2 Xs 460M Experimental Platypus 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 Llama2 Xs 460M Experimental Platypus

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	7	0
Doctor Llama 460M	2K / 0 GB	9	0
TeenyTinyLlama Doc 460M	2K / 0 GB	8	0
TeenyTinyLlama 460M Chat	2K / 0 GB	90	3
TeenyTinyLlama 460M	2K / 1.9 GB	145	12
...60M Experimental Ptbr Instruct	2K / 0.9 GB	8	4
DiscordLLama 460M	2K / 0.8 GB	9	0
Lite Vortex	1K / 0.9 GB	17	2

Note: green Score (e.g. "73.2") means that the model is better than Felladrin/llama2_xs_460M_experimental_platypus.