What are the hardware requirements for Llama Bs1 2K?

Llama Bs1 2K requires approximately 0.4 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 Llama Bs1 2K and how large is it?

Llama Bs1 2K is developed by minpeter, a model with 198.5m 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 Bs1 2K?

Llama Bs1 2K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama Bs1 2K by minpeter — VRAM 0.4GB, 2K context

Name: Llama Bs1 2K
Author: minpeter

Llama Bs1 2K is an open-source language model by minpeter. Features: 198.5m LLM, VRAM: 0.4GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.19.

Arxiv:1910.09700 Autotrain compatible Endpoints compatible Ko Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/minpeter/llama-bs1-2k

Llama Bs1 2K Parameters and Internals

LLM Name	Llama Bs1 2K
Repository 🤗	https://huggingface.co/minpeter/llama-bs1-2k
Model Size	198.5m
Required VRAM	0.4 GB
Updated	2025-07-19
Maintainer	minpeter
Model Type	llama
Model Files	0.4 GB 0.0 GB
Supported Languages	ko
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.53.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	32000
Torch Data Type	bfloat16

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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