What are the hardware requirements for L2 Psyonic Cetacean Ultra Colossal 32B?

L2 Psyonic Cetacean Ultra Colossal 32B requires approximately 44.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L2 Psyonic Cetacean Ultra Colossal 32B and how large is it?

L2 Psyonic Cetacean Ultra Colossal 32B is developed by DavidAU, a model with 32b 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 L2 Psyonic Cetacean Ultra Colossal 32B?

L2 Psyonic Cetacean Ultra Colossal 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L2 Psyonic Cetacean Ultra Colossal 32B by DavidAU — VRAM 44.9GB, 4K context

Name: L2 Psyonic Cetacean Ultra Colossal 32B
Author: DavidAU

L2 Psyonic Cetacean Ultra Colossal 32B is an open-source language model by DavidAU. Features: 32b LLM, VRAM: 44.9GB, Context: 4K, LLM Explorer Score: 0.15.

Autotrain compatible Endpoints compatible Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DavidAU/L2-Psyonic-Cetacean-Ultra-Colossal-32B

L2 Psyonic Cetacean Ultra Colossal 32B Parameters and Internals

LLM Name	L2 Psyonic Cetacean Ultra Colossal 32B
Repository 🤗	https://huggingface.co/DavidAU/L2-Psyonic-Cetacean-Ultra-Colossal-32B
Model Size	32b
Required VRAM	44.9 GB
Updated	2025-09-14
Maintainer	DavidAU
Model Type	llama
Model Files	0.9 GB: 1-of-67 1.0 GB: 2-of-67 0.9 GB: 3-of-67 1.0 GB: 4-of-67 0.9 GB: 5-of-67 1.0 GB: 6-of-67 0.9 GB: 7-of-67 1.0 GB: 8-of-67 0.9 GB: 9-of-67 1.0 GB: 10-of-67 0.9 GB: 11-of-67 1.0 GB: 12-of-67 0.9 GB: 13-of-67 1.0 GB: 14-of-67 0.9 GB: 15-of-67 1.0 GB: 16-of-67 0.9 GB: 17-of-67 1.0 GB: 18-of-67 0.9 GB: 19-of-67 1.0 GB: 20-of-67 0.9 GB: 21-of-67 1.0 GB: 22-of-67 0.9 GB: 23-of-67 1.0 GB: 24-of-67 0.9 GB: 25-of-67 1.0 GB: 26-of-67 0.9 GB: 27-of-67 1.0 GB: 28-of-67 0.9 GB: 29-of-67 1.0 GB: 30-of-67 0.9 GB: 31-of-67 1.0 GB: 32-of-67 0.9 GB: 33-of-67 1.0 GB: 34-of-67 0.9 GB: 35-of-67 1.0 GB: 36-of-67 0.9 GB: 37-of-67 1.0 GB: 38-of-67 0.9 GB: 39-of-67 0.9 GB: 40-of-67 1.0 GB: 41-of-67 1.0 GB: 42-of-67 1.0 GB: 43-of-67 1.0 GB: 44-of-67 1.0 GB: 45-of-67 1.0 GB: 46-of-67 1.0 GB: 47-of-67
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.43.3
Vocabulary Size	32000
Torch Data Type	float16

Rank the L2 Psyonic Cetacean Ultra Colossal 32B 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

Best Alternatives to L2 Psyonic Cetacean Ultra Colossal 32B

Best Alternatives	Context / RAM	Downloads	Likes
...ONE 3.5 32B Instruct Llamafied	32K / 63.7 GB	12	6
AceGPT V2 32B Chat	32K / 64.6 GB	259	3
....5 32B Dolphin Portuguese V0.1	32K / 64.6 GB	6	1
Qwen1.5 32B Llamafied	32K / 64.7 GB	9	4
Libra 32B	4K / 65.2 GB	13	3
Linux As A Model 32M	1K / 0.1 GB	9	4

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/L2-Psyonic-Cetacean-Ultra-Colossal-32B.