What are the hardware requirements for Calcium Opus 14B Merge?

Calcium Opus 14B Merge requires approximately 29.7 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 Calcium Opus 14B Merge and how large is it?

Calcium Opus 14B Merge is developed by prithivMLmods, a model with 14b 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 Calcium Opus 14B Merge?

Calcium Opus 14B Merge is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Calcium Opus 14B Merge by prithivMLmods — VRAM 29.7GB, 32K context

Name: Calcium Opus 14B Merge
Author: prithivMLmods

Calcium Opus 14B Merge is an open-source language model by prithivMLmods. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.27.

Merged Model Arxiv:2403.19522 Base model:prithivmlmods/calci... Base model:prithivmlmods/qwq-l... Base model:qwen/qwen2.5-14b-in... Conversational Endpoints compatible Instruct Model-index Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Merge

Calcium Opus 14B Merge Parameters and Internals

LLM Name	Calcium Opus 14B Merge
Repository 🤗	https://huggingface.co/prithivMLmods/Calcium-Opus-14B-Merge
Base Model(s)	Qwen/Qwen2.5-14B-Instruct Calcium Opus 14B Elite QwQ LCoT 14B Conversational Qwen/Qwen2.5-14B-Instruct prithivMLmods/Calcium-Opus-14B-Elite prithivMLmods/QwQ-LCoT-14B-Conversational
Merged Model	Yes
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-14
Maintainer	prithivMLmods
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.8 GB: 6-of-6
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Calcium Opus 14B Merge 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 Calcium Opus 14B Merge

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 14B Instruct 1M	986K / 29.6 GB	10388	342
T3Q Qwen2.5 14B V1.0 E3	986K / 29.7 GB	852	28
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B 1M YOYO V3	986K / 29.7 GB	254	4
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
Qwen2.5 14B YOYO Latest V2	986K / 29.7 GB	129	0
ZYH LLM Qwen2.5 14B V3	986K / 29.7 GB	23	8
...14B Instruct 1M GRPO Reasoning	986K / 29.7 GB	11	4
Impish QWEN 14B 1M	986K / 29.7 GB	56	26
Q2.5 14B Instruct 1M Harmony	986K / 29.7 GB	3	1

Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Calcium-Opus-14B-Merge.