What are the hardware requirements for Llama 2 7B 32K Instruct?

Llama 2 7B 32K Instruct requires approximately 13.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 7B 32K Instruct and how large is it?

Llama 2 7B 32K Instruct is developed by togethercomputer, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Llama 2 7B 32K Instruct perform on standard benchmarks?

Llama 2 7B 32K Instruct has the following published scores: MMLU 45.53. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 2 7B 32K Instruct by togethercomputer — VRAM 13.5GB, 32K context

Name: Llama 2 7B 32K Instruct
Author: togethercomputer

Llama 2 7B 32K Instruct is an open-source language model by togethercomputer. Features: 7b LLM, VRAM: 13.5GB, Context: 32K, License: llama2, Instruction-Based, LLM Explorer Score: 0.14, Arc: 51.4, HellaSwag: 78.5, MMLU: 45.5, GSM8K: 4.7.

Arxiv:2307.03172 Dataset:togethercomputer/llama... En Endpoints compatible Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/togethercomputer/Llama-2-7B-32K-Instruct

Llama 2 7B 32K Instruct Parameters and Internals

Model Type

text generation, chatbot

Additional Notes

Join us on Together Discord: https://discord.gg/6ZVDU8tTD4

Supported Languages

en (advanced)

Training Details

Data Sources:

https://huggingface.co/datasets/togethercomputer/Long-Data-Collections, https://arxiv.org/abs/2307.03172, https://huggingface.co/datasets/togethercomputer/llama-instruct

Data Volume:

19K instruction + BookSum + MQA

Context Length:

32000

Input Output

Input Format:

[INST]\n...\n[/INST]\n

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Install Flash Attention V2 for optimal performance.

LLM Name	Llama 2 7B 32K Instruct
Repository 🤗	https://huggingface.co/togethercomputer/Llama-2-7B-32K-Instruct
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-08
Maintainer	togethercomputer
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	32768
Model Max Length	32768
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 7B 32K Instruct 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 Llama 2 7B 32K Instruct

Model	Likes	Downloads	VRAM
Llama 2 7B 32K Instruct GGUF	53	1507	2 GB
Llama 2 7B 32K Instruct AWQ	2	3	3 GB
Llama 2 7B 32K Instruct GPTQ	27	49	3 GB
Llama 2 7B 32K Instruct GGML	8	7	2 GB

Best Alternatives to Llama 2 7B 32K Instruct

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	9217	3
SuperNeuralDreadDevil 8B	128K / 16.1 GB	46	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
...truct Auto Round Int4 Gs64 Sym	32K / 6.9 GB	48	1
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9

Note: green Score (e.g. "73.2") means that the model is better than togethercomputer/Llama-2-7B-32K-Instruct.