What are the hardware requirements for Deepseek R1 Distill 14B Math Code Merged?

Deepseek R1 Distill 14B Math Code Merged requires approximately 29.7 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 Deepseek R1 Distill 14B Math Code Merged and how large is it?

Deepseek R1 Distill 14B Math Code Merged is developed by realYinkaIyiola, 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 Deepseek R1 Distill 14B Math Code Merged?

Deepseek R1 Distill 14B Math Code Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek R1 Distill 14B Math Code Merged by realYinkaIyiola — VRAM 29.7GB, 128K context

Name: Deepseek R1 Distill 14B Math Code Merged
Author: realYinkaIyiola

Deepseek R1 Distill 14B Math Code Merged is an open-source language model by realYinkaIyiola. Features: 14b LLM, VRAM: 29.7GB, Context: 128K, LLM Explorer Score: 0.17.

Base model:merge:qwen/qwen2.5-... Base model:merge:realyinkaiyio... Base model:qwen/qwen2.5-14b Base model:realyinkaiyiola/dee... Conversational Endpoints compatible Merge Mergekit Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/realYinkaIyiola/Deepseek-R1-Distill-14B-Math-Code-Merged

Deepseek R1 Distill 14B Math Code Merged Parameters and Internals

LLM Name	Deepseek R1 Distill 14B Math Code Merged
Repository 🤗	https://huggingface.co/realYinkaIyiola/Deepseek-R1-Distill-14B-Math-Code-Merged
Base Model(s)	Deepseek R1 Distill 14B Code Deepseek R1 Distill 14B Math Qwen/Qwen2.5-14B realYinkaIyiola/Deepseek-R1-Distill-14B-Code realYinkaIyiola/Deepseek-R1-Distill-14B-Math Qwen/Qwen2.5-14B
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-18
Maintainer	realYinkaIyiola
Model Type	qwen2
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	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Deepseek R1 Distill 14B Math Code Merged 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 Deepseek R1 Distill 14B Math Code Merged

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
...hts Qwen2.5 14B Coder Creative	986K / 29.3 GB	267	0
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
Etr1o V1.2	986K / 29.7 GB	11	0

Note: green Score (e.g. "73.2") means that the model is better than realYinkaIyiola/Deepseek-R1-Distill-14B-Math-Code-Merged.