What are the hardware requirements for DeepSeek R1 Distill Qwen 14B Bnb 4bit?

DeepSeek R1 Distill Qwen 14B Bnb 4bit requires approximately 9.9 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 Qwen 14B Bnb 4bit and how large is it?

DeepSeek R1 Distill Qwen 14B Bnb 4bit is developed by unsloth, 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 Qwen 14B Bnb 4bit?

DeepSeek R1 Distill Qwen 14B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Distill Qwen 14B Bnb 4bit by unsloth — VRAM 9.9GB, 128K context

Name: DeepSeek R1 Distill Qwen 14B Bnb 4bit
Author: unsloth

DeepSeek R1 Distill Qwen 14B Bnb 4bit is an open-source language model by unsloth. Features: 14b LLM, VRAM: 9.9GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.18.

4-bit 4bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Bitsandbytes Conversational Deepseek En Endpoints compatible Quantized Qwen Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit

DeepSeek R1 Distill Qwen 14B Bnb 4bit Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 14B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit
Base Model(s)	DeepSeek R1 Distill Qwen 14B deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
Model Size	14b
Required VRAM	9.9 GB
Updated	2026-07-23
Maintainer	unsloth
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 4.9 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0.dev0
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the DeepSeek R1 Distill Qwen 14B Bnb 4bit 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 DeepSeek R1 Distill Qwen 14B Bnb 4bit

Model	Likes	Downloads	VRAM
Faqih R1 14B Islamic AI	0	4144	29 GB

Best Alternatives to DeepSeek R1 Distill Qwen 14B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
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
Faqih R1 14B Islamic AI	128K / 29.6 GB	4144	0
QwQ 14B Math V0.2	128K / 29.7 GB	147	15
Qwen Carpmuscle V0.3	128K / 29.7 GB	7	0
Qwen2.5 14B Bnb 4bit	128K / 9.9 GB	108292	5
...till Qwen 14B Unsloth Bnb 4bit	128K / 14.2 GB	11411	30
Qwen2.5 14B Unsloth Bnb 4bit	128K / 12.1 GB	1371	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/DeepSeek-R1-Distill-Qwen-14B-bnb-4bit.