What are the hardware requirements for Daedalus 1?

Daedalus 1 requires a context window of 1K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Daedalus 1 and how large is it?

Daedalus 1 is developed by Or4cl3-1. 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 Daedalus 1?

Daedalus 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Daedalus 1 by Or4cl3-1 — 1K context

Name: Daedalus 1
Author: Or4cl3-1

Daedalus 1 is an open-source language model by Or4cl3-1. Features: LLM, Context: 1K, License: apache-2.0, LLM Explorer Score: 0.12.

Base model:merge:or4cl3-1/code... Base model:merge:or4cl3-1/sam-... Base model:or4cl3-1/code-slerp Base model:or4cl3-1/sam-gemini... En Endpoints compatible Lazymergekit Merge Mergekit Or4cl3-1/code-slerp Or4cl3-1/sam-gemini-bloom-opt-... Region:us Seq2seq

Model Card on HF 🤗: https://huggingface.co/Or4cl3-1/Daedalus_1

Daedalus 1 Parameters and Internals

Model Type

text generation

Use Cases

Applications:

Software Development, Scientific Research, Creative Problem-Solving

Supported Languages

en (supported)

Training Details

Data Sources:

internal datasets, external datasets

Methodology:

The training process involved preprocessing the data to remove noise and inconsistencies, tokenizing the data using a SentencePiece tokenizer, training the model using a masked language modeling objective, and fine-tuning on downstream tasks.

Model Architecture:

Blending of CodeBERT, Codex, T5, SAM, Gemini, and Megatron

LLM Name	Daedalus 1
Repository 🤗	https://huggingface.co/Or4cl3-1/Daedalus_1
Model Name	Or4cl3-1/Daedalus_1: The Forge of Visionary Innovation
Base Model(s)	Or4cl3-1/code-slerp Or4cl3-1/SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp Or4cl3-1/code-slerp Or4cl3-1/SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp
Updated	2026-07-29
Maintainer	Or4cl3-1
Model Type	seq2seq
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Context Length	1024
Model Max Length	1024
Vocabulary Size	50257
Activation Function	gelu

Rank the Daedalus 1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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