Who developed CSUMLM and how large is it?

CSUMLM 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 CSUMLM?

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

CSUMLM by Or4cl3-1 | LLM Explorer

Name: CSUMLM
Author: Or4cl3-1

CSUMLM is an open-source language model by Or4cl3-1. Features: LLM, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.11.

Code Conversational Dataset:clinc/cs convo self Dataset:codeparrot/apps Dataset:deepmind/code contests Dataset:dialogpt/intents-full Dataset:dstc8-schema-guided-di... Dataset:empathetic-dialogues Dataset:epinnock/software-arch... Dataset:freecs/artificialthink... Dataset:reddit-self-reflection En Encoder decoder Endpoints compatible Instruct Introspection Machine learning Natural language understanding Region:us Research Self-reflection

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

CSUMLM Parameters and Internals

Model Type

text generation, multimodal processing

Use Cases

Applications:

Natural Language Processing, Multimodal Understanding, Real-time Applications, Research and Development

Limitations:

Data Requirements, Computational Resources, Bias and Fairness

Training Details

Methodology:

Hybrid learning engine with transfer learning, deep learning, self-supervised learning, meta-learning, deep meta-learning, reinforcement learning, and cross-domain analogy extraction

Model Architecture:

Advanced attention mechanism combining traditional attention, self-attention, and linear attention with a hierarchical belief desire intent tree/chain of thought structure

LLM Name	CSUMLM
Repository 🤗	https://huggingface.co/Or4cl3-1/CSUMLM
Model Name	CognoSphere/CSUMLM
Updated	2026-08-08
Maintainer	Or4cl3-1
Model Type	encoder_decoder
Instruction-Based	Yes
Supported Languages	en
Model Architecture	AutoModel
License	apache-2.0
Vocabulary Size	32000

Rank the CSUMLM 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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Note: green Score (e.g. "73.2") means that the model is better than Or4cl3-1/CSUMLM.