What are the hardware requirements for R1 1776?

R1 1776 requires approximately 243.4 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed R1 1776 and how large is it?

R1 1776 is developed by unsloth. 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?

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

R1 1776 by unsloth — VRAM 243.4GB, 160K context

Name: R1 1776
Author: unsloth

R1 1776 is an open-source language model by unsloth. Features: LLM, VRAM: 243.4GB, Context: 160K, License: mit, LLM Explorer Score: 0.17.

Base model:finetune:perplexity... Base model:perplexity-ai/r1-17... Conversational Custom code Deepseek Deepseek v3 En Endpoints compatible Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/r1-1776

R1 1776 Parameters and Internals

LLM Name	R1 1776
Repository 🤗	https://huggingface.co/unsloth/r1-1776
Base Model(s)	R1 1776 perplexity-ai/r1-1776
Required VRAM	243.4 GB
Updated	2026-07-17
Maintainer	unsloth
Model Type	deepseek_v3
Model Files	5.2 GB: 1-of-252 5.2 GB: 2-of-252 5.2 GB: 3-of-252 5.2 GB: 4-of-252 5.3 GB: 5-of-252 5.3 GB: 6-of-252 5.3 GB: 7-of-252 5.3 GB: 8-of-252 5.3 GB: 9-of-252 5.3 GB: 10-of-252 5.3 GB: 11-of-252 5.3 GB: 12-of-252 5.3 GB: 13-of-252 5.3 GB: 14-of-252 5.3 GB: 15-of-252 5.3 GB: 16-of-252 5.3 GB: 17-of-252 5.3 GB: 18-of-252 5.3 GB: 19-of-252 5.3 GB: 20-of-252 5.3 GB: 21-of-252 5.3 GB: 22-of-252 5.3 GB: 23-of-252 5.3 GB: 24-of-252 5.3 GB: 25-of-252 5.3 GB: 26-of-252 5.3 GB: 27-of-252 5.3 GB: 28-of-252 5.3 GB: 29-of-252 5.3 GB: 30-of-252 5.3 GB: 31-of-252 5.3 GB: 32-of-252 5.3 GB: 33-of-252 5.3 GB: 34-of-252 5.3 GB: 35-of-252 5.3 GB: 36-of-252 5.3 GB: 37-of-252 5.3 GB: 38-of-252 5.3 GB: 39-of-252 5.3 GB: 40-of-252 5.3 GB: 41-of-252 5.3 GB: 42-of-252 5.3 GB: 43-of-252 5.3 GB: 44-of-252 5.3 GB: 45-of-252 5.3 GB: 46-of-252
Supported Languages	en
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.46.3
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the R1 1776 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 R1 1776

Best Alternatives	Context / RAM	Downloads	Likes
Kimi K2 Thinking NVFP4	256K / 210 GB	15569	29
Kimi K2 Thinking BF16	256K / 220 GB	63	6
Kimi K2 Instruct 0905	256K / 667.4 GB	17	7
DeepSeek R1 0528	160K / 176.1 GB	48	15
DeepSeek R1 0528 FP4	160K / 107 GB	72991	36
DeepSeek V3.0324 FP4	160K / 242.8 GB	9984	12
DeepSeek R1 FP4	160K / 232 GB	6856	264
DeepSeek V3.1 MLX 5.5bit	160K / GB	400	5
...V3.1 Base Int4 Mixed AutoRound	160K / 220 GB	103	2
...Seek V3.1 Int4 Mixed AutoRound	160K / 225 GB	53	11

Note: green Score (e.g. "73.2") means that the model is better than unsloth/r1-1776.