What are the hardware requirements for DeepSeek R1 Block INT8?

DeepSeek R1 Block INT8 requires approximately 176.1 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 DeepSeek R1 Block INT8 and how large is it?

DeepSeek R1 Block INT8 is developed by meituan, a model with 684.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does DeepSeek R1 Block INT8 perform on standard benchmarks?

DeepSeek R1 Block INT8 has the following published scores: LMSYS ELO 1462. Compare against reference models on this page or on the LLM Explorer leaderboards.

DeepSeek R1 Block INT8 by meituan — VRAM 176.1GB, 160K context

Name: DeepSeek R1 Block INT8
Author: meituan

DeepSeek R1 Block INT8 is an open-source language model by meituan. Features: 684.5b LLM, VRAM: 176.1GB, Context: 160K, License: mit, LLM Explorer Score: 0.32, ELO: 1462.

Arxiv:2501.12948 8-bit Blockwise int8 Conversational Custom code Deepseek v3 Endpoints compatible Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/meituan/DeepSeek-R1-Block-INT8

DeepSeek R1 Block INT8 Benchmarks

LMSys ELO 1462 vs 1272 (so35) 14.9%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

DeepSeek R1 Block INT8 Parameters and Internals

LLM Name	DeepSeek R1 Block INT8
Repository 🤗	https://huggingface.co/meituan/DeepSeek-R1-Block-INT8
Model Size	684.5b
Required VRAM	176.1 GB
Updated	2026-08-02
Maintainer	meituan
Model Type	deepseek_v3
Model Files	5.2 GB: 1-of-163 4.3 GB: 2-of-163 4.3 GB: 3-of-163 4.3 GB: 4-of-163 4.3 GB: 5-of-163 4.4 GB: 6-of-163 4.3 GB: 7-of-163 4.3 GB: 8-of-163 4.3 GB: 9-of-163 4.3 GB: 10-of-163 4.3 GB: 11-of-163 1.3 GB: 12-of-163 4.3 GB: 13-of-163 4.3 GB: 14-of-163 4.3 GB: 15-of-163 4.3 GB: 16-of-163 4.3 GB: 17-of-163 4.3 GB: 18-of-163 4.3 GB: 19-of-163 4.3 GB: 20-of-163 4.3 GB: 21-of-163 4.3 GB: 22-of-163 4.3 GB: 23-of-163 4.3 GB: 24-of-163 4.3 GB: 25-of-163 4.3 GB: 26-of-163 4.3 GB: 27-of-163 4.3 GB: 28-of-163 4.3 GB: 29-of-163 4.3 GB: 30-of-163 4.3 GB: 31-of-163 4.3 GB: 32-of-163 4.3 GB: 33-of-163 1.8 GB: 34-of-163 4.3 GB: 35-of-163 4.3 GB: 36-of-163 4.3 GB: 37-of-163 4.3 GB: 38-of-163 4.3 GB: 39-of-163 4.3 GB: 40-of-163 4.3 GB: 41-of-163 4.3 GB: 42-of-163
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 DeepSeek R1 Block INT8 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 DeepSeek R1 Block INT8

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek R1 0528	160K / 180.4 GB	244573	2457
DeepSeek V3	160K / 171.8 GB	1155192	4102
DeepSeek R1	160K / 180.4 GB	8739585	13461
DeepSeek V3 Base	160K / 171.8 GB	34207	1700
DeepSeek V3.0324	160K / 184.7 GB	835522	3148
DeepSeek V3	160K / 171.8 GB	20952	13
DeepSeek V3.1 Terminus	160K / 171.8 GB	15	4
DeepSeek V3.1	160K / 176.1 GB	16	3
DeepSeek V3.1	160K / 180.4 GB	307929	826
DeepSeek R1	160K / 358.8 GB	444	52

Note: green Score (e.g. "73.2") means that the model is better than meituan/DeepSeek-R1-Block-INT8.