What are the hardware requirements for Cursa O1 7B V1.2 Normalize False?

Cursa O1 7B V1.2 Normalize False requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Cursa O1 7B V1.2 Normalize False and how large is it?

Cursa O1 7B V1.2 Normalize False is developed by marcuscedricridia, a model with 7b 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 Cursa O1 7B V1.2 Normalize False?

Cursa O1 7B V1.2 Normalize False is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Cursa O1 7B V1.2 Normalize False by marcuscedricridia — VRAM 15.2GB, 32K context

Name: Cursa O1 7B V1.2 Normalize False
Author: marcuscedricridia

Cursa O1 7B V1.2 Normalize False is an open-source language model by marcuscedricridia. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Merged, LLM Explorer Score: 0.27.

Merged Model Arxiv:2403.19522 Base model:marcuscedricridia/a... Base model:marcuscedricridia/p... Base model:marcuscedricridia/p... Base model:marcuscedricridia/s... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false

Cursa O1 7B V1.2 Normalize False Parameters and Internals

LLM Name	Cursa O1 7B V1.2 Normalize False
Repository 🤗	https://huggingface.co/marcuscedricridia/cursa-o1-7b-v1.2-normalize-false
Base Model(s)	Post Cursa O1 Sbr O1 7B Absolute O1 7B marcuscedricridia/pre-cursa-o1-v1.6 marcuscedricridia/post-cursa-o1 marcuscedricridia/sbr-o1-7b marcuscedricridia/absolute-o1-7b marcuscedricridia/pre-cursa-o1-v1.6
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-02
Maintainer	marcuscedricridia
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Cursa O1 7B V1.2 Normalize False 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 Cursa O1 7B V1.2 Normalize False

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/cursa-o1-7b-v1.2-normalize-false.