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

CoT Llama 2K 7B requires approximately 13.7 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

CoT Llama 2K 7B is developed by kyujinpy, 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 CoT Llama 2K 7B?

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

CoT Llama 2K 7B by kyujinpy — VRAM 13.7GB, 2K context

Name: CoT Llama 2K 7B
Author: kyujinpy

CoT Llama 2K 7B is an open-source language model by kyujinpy. Features: 7b LLM, VRAM: 13.7GB, Context: 2K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.09.

Dataset:kyujinpy/kocot 2000 Deploy:azure Endpoints compatible Ko Llama Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/kyujinpy/CoT-llama-2k-7b

CoT Llama 2K 7B Parameters and Internals

Model Type

text generation

Training Details

Data Sources:

KoCoT_2000, kaist-CoT

Hardware Used:

A100 GPU 40GB, COLAB

Model Architecture:

CoT-llama2 is an auto-regressive language model based on the LLaMA2 transformer architecture.

Input Output

Input Format:

text

Accepted Modalities:

text

Output Format:

text

LLM Name	CoT Llama 2K 7B
Repository 🤗	https://huggingface.co/kyujinpy/CoT-llama-2k-7b
Model Size	7b
Required VRAM	13.7 GB
Updated	2026-08-06
Maintainer	kyujinpy
Model Type	llama
Model Files	9.9 GB: 1-of-2 3.8 GB: 2-of-2 9.9 GB: 1-of-2 3.8 GB: 2-of-2
Supported Languages	ko
Model Architecture	LlamaForCausalLM
License	cc-by-nc-sa-4.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.33.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	46336
Torch Data Type	float16

Rank the CoT Llama 2K 7B 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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162	1024K / 16.1 GB	60
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Note: green Score (e.g. "73.2") means that the model is better than kyujinpy/CoT-llama-2k-7b.