What are the hardware requirements for Chronoboros 33B?

Chronoboros 33B requires approximately 65.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chronoboros 33B and how large is it?

Chronoboros 33B is developed by Henk717, 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 Chronoboros 33B perform on standard benchmarks?

Chronoboros 33B has the following published scores: MMLU 59.44. Compare against reference models on this page or on the LLM Explorer leaderboards.

Chronoboros 33B by Henk717 — VRAM 65.1GB, 2K context

Name: Chronoboros 33B
Author: Henk717

Chronoboros 33B is an open-source language model by Henk717. Features: 33b LLM, VRAM: 65.1GB, Context: 2K, License: other, LLM Explorer Score: 0.1, Arc: 63.9, HellaSwag: 85, MMLU: 59.4, GSM8K: 15.

Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/Henk717/chronoboros-33B

Chronoboros 33B Parameters and Internals

Additional Notes

This model was the result of a 50/50 average weight merge between Airoboros-33B-1.4 and Chronos-33B. After prolonged testing we concluded that while this merge is highly flexible and capable of many different tasks, it has too much variation in how it answers to be reliable. Because of this the model relies on some luck to get good results, and is therefore not recommended to people seeking a consistent experience, or people sensitive to anticipation-based addictions. If you would like an improved version of this model that is more stable check out my Airochronos-33B merge.

LLM Name	Chronoboros 33B
Repository 🤗	https://huggingface.co/Henk717/chronoboros-33B
Model Size	33b
Required VRAM	65.1 GB
Updated	2026-07-31
Maintainer	Henk717
Model Type	llama
Model Files	10.4 GB: 1-of-7 10.4 GB: 2-of-7 10.4 GB: 3-of-7 10.5 GB: 4-of-7 10.5 GB: 5-of-7 10.4 GB: 6-of-7 2.5 GB: 7-of-7
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Chronoboros 33B 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

Quantized Models of the Chronoboros 33B

Model	Likes	Downloads	VRAM
Chronoboros 33B GGUF	11	157	13 GB
Chronoboros 33B AWQ	2	6	17 GB
Chronoboros 33B GPTQ	30	51	16 GB

Best Alternatives to Chronoboros 33B

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 33B Slerp	16K / 35.4 GB	7	0
ValidateAI 3 33B Ties	16K / 66.5 GB	7	0
ValidateAI 2 33B AT	16K / 66.5 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than Henk717/chronoboros-33B.