What are the hardware requirements for Llama 2 7B Chat Leadelo Cosine Model 2?

Llama 2 7B Chat Leadelo Cosine Model 2 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 Chat Leadelo Cosine Model 2 and how large is it?

Llama 2 7B Chat Leadelo Cosine Model 2 is developed by chukypedro, 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 Chat Leadelo Cosine Model 2?

Llama 2 7B Chat Leadelo Cosine Model 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 7B Chat Leadelo Cosine Model 2 by chukypedro — VRAM 13.5GB, 4K context

Name: Llama 2 7B Chat Leadelo Cosine Model 2
Author: chukypedro

Llama 2 7B Chat Leadelo Cosine Model 2 is an open-source language model by chukypedro. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.08.

Autotrain compatible Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/chukypedro/llama-2-7b-chat-leadelo_cosine_model_2

Llama 2 7B Chat Leadelo Cosine Model 2 Parameters and Internals

LLM Name	Llama 2 7B Chat Leadelo Cosine Model 2
Repository 🤗	https://huggingface.co/chukypedro/llama-2-7b-chat-leadelo_cosine_model_2
Model Size	7b
Required VRAM	13.5 GB
Updated	2025-10-16
Maintainer	chukypedro
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
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 Chat Leadelo Cosine Model 2 capabilities

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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 chukypedro/llama-2-7b-chat-leadelo_cosine_model_2.