What are the hardware requirements for R1 1776 Distill Llama 70B?

R1 1776 Distill Llama 70B requires approximately 141.9 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 R1 1776 Distill Llama 70B and how large is it?

R1 1776 Distill Llama 70B is developed by perplexity-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 R1 1776 Distill Llama 70B?

R1 1776 Distill Llama 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

R1 1776 Distill Llama 70B by perplexity-ai — VRAM 141.9GB, 128K context

Name: R1 1776 Distill Llama 70B
Author: perplexity-ai

R1 1776 Distill Llama 70B is an open-source language model by perplexity-ai. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: mit, LLM Explorer Score: 0.18.

Arxiv:2501.12948 Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/perplexity-ai/r1-1776-distill-llama-70b

R1 1776 Distill Llama 70B Parameters and Internals

LLM Name	R1 1776 Distill Llama 70B
Repository 🤗	https://huggingface.co/perplexity-ai/r1-1776-distill-llama-70b
Base Model(s)	DeepSeek R1 Distill Llama 70B deepseek-ai/DeepSeek-R1-Distill-Llama-70B
Model Size	70b
Required VRAM	141.9 GB
Updated	2025-12-28
Maintainer	perplexity-ai
Model Type	llama
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the R1 1776 Distill Llama 70B 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 R1 1776 Distill Llama 70B

Model	Likes	Downloads	VRAM
R1 1776 Distill Llama 70B GGUF	24	2478	26 GB
...ill Llama 70B Unsloth Bnb 4bit	2	8	42 GB

Best Alternatives to R1 1776 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