What are the hardware requirements for Waldo Bot Test V1 R0000 Merge?

Waldo Bot Test V1 R0000 Merge requires a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Waldo Bot Test V1 R0000 Merge and how large is it?

Waldo Bot Test V1 R0000 Merge is developed by mdagosta, a model with 820.7k 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 Waldo Bot Test V1 R0000 Merge?

Waldo Bot Test V1 R0000 Merge is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Waldo Bot Test V1 R0000 Merge by mdagosta — 0.5K context

Name: Waldo Bot Test V1 R0000 Merge
Author: mdagosta

Waldo Bot Test V1 R0000 Merge is an open-source language model by mdagosta. Features: 820.7k LLM, Context: 0.5K, LLM Explorer Score: 0.28.

Conversational Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mdagosta/waldo-bot-test-v1-r0000-merge

Waldo Bot Test V1 R0000 Merge Parameters and Internals

LLM Name	Waldo Bot Test V1 R0000 Merge
Repository 🤗	https://huggingface.co/mdagosta/waldo-bot-test-v1-r0000-merge
Model Size	820.7k
Required VRAM	0 GB
Updated	2026-10-25
Maintainer	mdagosta
Model Type	llama
Model Files	0.0 GB
Model Architecture	LlamaForCausalLM
Context Length	512
Model Max Length	512
Tokenizer Class	OpenWALDOTokenizer
Padding Token	<pad>
Vocabulary Size	259
Torch Data Type	bfloat16

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