What are the hardware requirements for Llama2 70B ShiningValiant?

Llama2 70B ShiningValiant requires approximately 212 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama2 70B ShiningValiant and how large is it?

Llama2 70B ShiningValiant is developed by ValiantLabs, 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 Llama2 70B ShiningValiant?

Llama2 70B ShiningValiant is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama2 70B ShiningValiant by ValiantLabs — VRAM 212GB, 4K context

Name: Llama2 70B ShiningValiant
Author: ValiantLabs

Llama2 70B ShiningValiant is an open-source language model by ValiantLabs. Features: 70b LLM, VRAM: 212GB, Context: 4K, License: llama2, LLM Explorer Score: 0.09.

70b En Endpoints compatible Llama Llama-2-chat Llama2 Region:us Safetensors Sharded Shining-valiant Tensorflow Valiant Valiant-labs

Model Card on HF 🤗: https://huggingface.co/ValiantLabs/Llama2-70B-ShiningValiant

Llama2 70B ShiningValiant Parameters and Internals

LLM Name	Llama2 70B ShiningValiant
Repository 🤗	https://huggingface.co/ValiantLabs/Llama2-70B-ShiningValiant
Model Size	70b
Required VRAM	212 GB
Updated	2026-08-04
Maintainer	ValiantLabs
Model Type	llama
Model Files	4.8 GB: 1-of-61 4.6 GB: 2-of-61 4.4 GB: 3-of-61 5.0 GB: 4-of-61 4.4 GB: 5-of-61 4.4 GB: 6-of-61 5.0 GB: 7-of-61 4.4 GB: 8-of-61 4.4 GB: 9-of-61 5.0 GB: 10-of-61 4.4 GB: 11-of-61 4.4 GB: 12-of-61 5.0 GB: 13-of-61 4.4 GB: 14-of-61 4.4 GB: 15-of-61 5.0 GB: 16-of-61 4.4 GB: 17-of-61 4.4 GB: 18-of-61 5.0 GB: 19-of-61 4.4 GB: 20-of-61 4.4 GB: 21-of-61 5.0 GB: 22-of-61 4.4 GB: 23-of-61 4.4 GB: 24-of-61 5.0 GB: 25-of-61 4.4 GB: 26-of-61 4.4 GB: 27-of-61 5.0 GB: 28-of-61 4.4 GB: 29-of-61 4.4 GB: 30-of-61 5.0 GB: 31-of-61 4.4 GB: 32-of-61 4.4 GB: 33-of-61 5.0 GB: 34-of-61 4.4 GB: 35-of-61 4.4 GB: 36-of-61 5.0 GB: 37-of-61 4.4 GB: 38-of-61 4.4 GB: 39-of-61 5.0 GB: 40-of-61 4.4 GB: 41-of-61 4.4 GB: 42-of-61 5.0 GB: 43-of-61 4.4 GB: 44-of-61 4.4 GB: 45-of-61 5.0 GB: 46-of-61
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Llama2 70B ShiningValiant 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

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Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/Llama2-70B-ShiningValiant.