What are the hardware requirements for Llama 2 7B Emma 1K?

Llama 2 7B Emma 1K requires approximately 13.5 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 Llama 2 7B Emma 1K and how large is it?

Llama 2 7B Emma 1K is developed by Emma92, a model with 7b 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 Llama 2 7B Emma 1K?

Llama 2 7B Emma 1K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Emma 1K by Emma92 — VRAM 13.5GB, 4K context

Name: Llama 2 7B Emma 1K
Author: Emma92

Llama 2 7B Emma 1K is an open-source language model by Emma92. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: bigscience-openrail-m, LLM Explorer Score: 0.08.

Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Emma92/llama-2-7b-emma-1k

Llama 2 7B Emma 1K Parameters and Internals

Model Type

text-generation

Training Details

Hardware Used:

google colab TPU GPU, high RAM

LLM Name	Llama 2 7B Emma 1K
Repository 🤗	https://huggingface.co/Emma92/llama-2-7b-emma-1k
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-06-28
Maintainer	Emma92
Model Type	llama
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2 10.0 GB: 1-of-2 3.5 GB: 2-of-2
Model Architecture	LlamaForCausalLM
License	bigscience-openrail-m
Context Length	4096
Model Max Length	4096
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama 2 7B Emma 1K 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 Emma92/llama-2-7b-emma-1k.