What are the hardware requirements for Qwen2.5 14B DeepSeek R1 1M?

Qwen2.5 14B DeepSeek R1 1M requires approximately 29.7 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 14B DeepSeek R1 1M and how large is it?

Qwen2.5 14B DeepSeek R1 1M is developed by mkurman, 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 Qwen2.5 14B DeepSeek R1 1M?

Qwen2.5 14B DeepSeek R1 1M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 14B DeepSeek R1 1M by mkurman — VRAM 29.7GB, 986K context

Name: Qwen2.5 14B DeepSeek R1 1M
Author: mkurman

Qwen2.5 14B DeepSeek R1 1M is an open-source language model by mkurman. Features: 14b LLM, VRAM: 29.7GB, Context: 986K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-14b-in... Conversational Endpoints compatible Gguf Instruct Q4 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mkurman/Qwen2.5-14B-DeepSeek-R1-1M

Qwen2.5 14B DeepSeek R1 1M Parameters and Internals

LLM Name	Qwen2.5 14B DeepSeek R1 1M
Repository 🤗	https://huggingface.co/mkurman/Qwen2.5-14B-DeepSeek-R1-1M
Base Model(s)	DeepSeek R1 Distill Qwen 14B Qwen/Qwen2.5-14B-Instruct-1M deepseek-ai/DeepSeek-R1-Distill-Qwen-14B Qwen/Qwen2.5-14B-Instruct-1M
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-08-05
Maintainer	mkurman
Model Type	qwen2
Instruction-Based	Yes
Model Files	9.0 GB 15.7 GB 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
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.47.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 14B DeepSeek R1 1M 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

Best Alternatives to Qwen2.5 14B DeepSeek R1 1M

Best Alternatives	Context / RAM	Downloads	Likes
Neuron V1 14B Instruct	32K / 29.7 GB	188	4
...er 14B Instruct Abliterated V1	32K / 29.7 GB	7	3
Qwen2.5 14B Instruct 1M 8bit	986K / 15.7 GB	430	12
Qwen2.5 14B Instruct 1M 4bit	986K / 8.3 GB	379	2
...en2.5 14B Instruct 1M Bnb 4bit	986K / 9.9 GB	95	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 14.3 GB	14	4
...n2.5 Math 14B Instruct Preview	32K / 29.7 GB	51	1
Qwen Carpmuscle V0.4.1	32K / 29.7 GB	9	0
...wen2.5 Math 14B Instruct Alpha	32K / 29.7 GB	57	2
Reasoning 1 1K Demo	32K / 29.7 GB	38	1

Note: green Score (e.g. "73.2") means that the model is better than mkurman/Qwen2.5-14B-DeepSeek-R1-1M.