What are the hardware requirements for ValidateAI 33B Slerp?

ValidateAI 33B Slerp requires approximately 35.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ValidateAI 33B Slerp and how large is it?

ValidateAI 33B Slerp is developed by arvindanand, a model with 33b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does ValidateAI 33B Slerp perform on standard benchmarks?

ValidateAI 33B Slerp has the following published scores: MMLU 40.05. Compare against reference models on this page or on the LLM Explorer leaderboards.

ValidateAI 33B Slerp by arvindanand — VRAM 35.4GB, 16K context

Name: ValidateAI 33B Slerp
Author: arvindanand

ValidateAI 33B Slerp is an open-source language model by arvindanand. Features: 33b LLM, VRAM: 35.4GB, Context: 16K, License: apache-2.0, Merged, LLM Explorer Score: 0.16, Arc: 31.1, HellaSwag: 36.8, MMLU: 40.1.

Merged Model Arvindanand/deepseek-wizard-33... Base model:arvindanand/deepsee... Base model:codefuse-ai/codefus... Codefuse-ai/codefuse-deepseek-... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/arvindanand/ValidateAI-33B-slerp

ValidateAI 33B Slerp Parameters and Internals

LLM Name	ValidateAI 33B Slerp
Repository 🤗	https://huggingface.co/arvindanand/ValidateAI-33B-slerp
Base Model(s)	Deepseek Wizard 33B Slerp CodeFuse DeepSeek 33B arvindanand/Deepseek-Wizard-33B-slerp codefuse-ai/CodeFuse-DeepSeek-33B
Merged Model	Yes
Model Size	33b
Required VRAM	35.4 GB
Updated	2026-08-03
Maintainer	arvindanand
Model Type	llama
Model Files	1.9 GB: 1-of-19 1.9 GB: 2-of-19 1.9 GB: 3-of-19 2.0 GB: 4-of-19 2.0 GB: 5-of-19 2.0 GB: 6-of-19 1.9 GB: 7-of-19 1.9 GB: 8-of-19 2.0 GB: 9-of-19 2.0 GB: 10-of-19 1.9 GB: 11-of-19 1.9 GB: 12-of-19 1.9 GB: 13-of-19 2.0 GB: 14-of-19 2.0 GB: 15-of-19 1.9 GB: 16-of-19 1.9 GB: 17-of-19 1.8 GB: 18-of-19 0.6 GB: 19-of-19
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	bfloat16

Rank the ValidateAI 33B Slerp capabilities

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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 ValidateAI 33B Slerp

Best Alternatives	Context / RAM	Downloads	Likes
Llm Jp 4 33B Thinking	64K / 66.8 GB	192	24
Llm Jp 4 33B Base	64K / 66.8 GB	89	8
Llm Jp 4 33B Thinking NVFP4	64K / 21.6 GB	79	1
Llm Jp 4 33B Thinking Nvfp4	64K / 21.5 GB	38	2
...angled Llama 33M 32K Base V0.1	32K / 0.1 GB	22	1
ReflectionCoder DS 33B	16K / 67 GB	8293	4
Deepseek Wizard 33B Slerp	16K / 35.3 GB	7	0
ValidateAI 3 33B Ties	16K / 66.5 GB	7	0
ValidateAI 2 33B AT	16K / 66.5 GB	6	0
Chronos Divergence 33B	16K / 65 GB	9	30

Note: green Score (e.g. "73.2") means that the model is better than arvindanand/ValidateAI-33B-slerp.