What are the hardware requirements for Archaeo 32B KTO?

Archaeo 32B KTO requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Archaeo 32B KTO and how large is it?

Archaeo 32B KTO is developed by Delta-Vector, 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 Archaeo 32B KTO?

Archaeo 32B KTO is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Archaeo 32B KTO by Delta-Vector — VRAM 65.8GB, 128K context

Name: Archaeo 32B KTO
Author: Delta-Vector

Archaeo 32B KTO is an open-source language model by Delta-Vector. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.18.

Base model:delta-vector/archae... Base model:finetune:delta-vect... Conversational Creative-writing Dataset:delta-vector/tauri-ife... Dataset:delta-vector/tauri-kto... Dataset:delta-vector/tauri-opu... Dataset:delta-vector/tauri-pur... Endpoints compatible Finetuned Instruct Kto Merge Mergekit Qwen2 Region:us Rl Roleplay Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Delta-Vector/Archaeo-32B-KTO

Archaeo 32B KTO Parameters and Internals

LLM Name	Archaeo 32B KTO
Repository 🤗	https://huggingface.co/Delta-Vector/Archaeo-32B-KTO
Base Model(s)	Archaeo 32B Delta-Vector/Archaeo-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-09-07
Maintainer	Delta-Vector
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the Archaeo 32B KTO 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 Archaeo 32B KTO

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	45	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	64	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than Delta-Vector/Archaeo-32B-KTO.