What are the hardware requirements for DeepSeek R1 Distill Llama 70B?

DeepSeek R1 Distill Llama 70B requires approximately 141 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 Llama 70B and how large is it?

DeepSeek R1 Distill Llama 70B is developed by deepseek-ai, a model with 70b 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 Llama 70B?

DeepSeek R1 Distill Llama 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Distill Llama 70B by deepseek-ai — VRAM 141GB, 128K context

Name: DeepSeek R1 Distill Llama 70B
Author: deepseek-ai

DeepSeek R1 Distill Llama 70B is an open-source language model by deepseek-ai. Features: 70b LLM, VRAM: 141GB, Context: 128K, License: mit, LLM Explorer Score: 0.37.

Arxiv:2501.12948 Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B

DeepSeek R1 Distill Llama 70B Parameters and Internals

LLM Name	DeepSeek R1 Distill Llama 70B
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B
Model Size	70b
Required VRAM	141 GB
Updated	2026-07-10
Maintainer	deepseek-ai
Model Type	llama
Model Files	8.9 GB: 1-of-17 8.7 GB: 2-of-17 1.6 GB: 3-of-17 8.7 GB: 4-of-17 8.4 GB: 5-of-17 8.7 GB: 6-of-17 8.4 GB: 7-of-17 8.7 GB: 8-of-17 8.4 GB: 9-of-17 8.7 GB: 10-of-17 8.4 GB: 11-of-17 8.7 GB: 12-of-17 8.4 GB: 13-of-17 8.7 GB: 14-of-17 8.4 GB: 15-of-17 8.7 GB: 16-of-17 10.5 GB: 17-of-17
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0.dev0
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the DeepSeek R1 Distill Llama 70B 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

Quantized Models of the DeepSeek R1 Distill Llama 70B

Model	Likes	Downloads	VRAM
...Seek R1 Distill Llama 70B GGUF	120	27430	15 GB
...Seek R1 Distill Llama 70B 4bit	10	4738	39 GB
... R1 Distill Llama 70B Bnb 4bit	26	2181	39 GB
...Seek R1 Distill Llama 70B 3bit	6	288	30 GB
...Seek R1 Distill Llama 70B 6bit	4	222	57 GB
...ill Llama 70B Unsloth Bnb 4bit	9	52	41 GB

Best Alternatives to DeepSeek R1 Distill Llama 70B

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
Llama3 Function Calling 1048K	1024K / 141.9 GB	5	1
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Yi 70B 200K RPMerge Franken	195K / 142.4 GB	10	1