What are the hardware requirements for GenAI Llama2 Ko En Instruct 20B V1?

GenAI Llama2 Ko En Instruct 20B V1 requires approximately 40.4 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 GenAI Llama2 Ko En Instruct 20B V1 and how large is it?

GenAI Llama2 Ko En Instruct 20B V1 is developed by 42MARU, a model with 20b 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 GenAI Llama2 Ko En Instruct 20B V1?

GenAI Llama2 Ko En Instruct 20B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

GenAI Llama2 Ko En Instruct 20B V1 by 42MARU — VRAM 40.4GB, 2K context

Name: GenAI Llama2 Ko En Instruct 20B V1
Author: 42MARU

GenAI Llama2 Ko En Instruct 20B V1 is an open-source language model by 42MARU. Features: 20b LLM, VRAM: 40.4GB, Context: 2K, Instruction-Based, LLM Explorer Score: 0.09.

Autotrain compatible Endpoints compatible Instruct Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/42MARU/GenAI-llama2-ko-en-instruct-20B-v1

GenAI Llama2 Ko En Instruct 20B V1 Parameters and Internals

Additional Notes

This model is in an experimental stage, indicating that it may still undergo active development and testing phases. It might not be fully optimized or stable for production use.

LLM Name	GenAI Llama2 Ko En Instruct 20B V1
Repository 🤗	https://huggingface.co/42MARU/GenAI-llama2-ko-en-instruct-20B-v1
Model Size	20b
Required VRAM	40.4 GB
Updated	2025-09-22
Maintainer	42MARU
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-5 9.9 GB: 2-of-5 10.0 GB: 3-of-5 10.0 GB: 4-of-5 0.5 GB: 5-of-5
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	46336
Torch Data Type	bfloat16

Rank the GenAI Llama2 Ko En Instruct 20B V1 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

Best Alternatives to GenAI Llama2 Ko En Instruct 20B V1

Best Alternatives	Context / RAM	Downloads	Likes
EAGLE3 GPT Oss 20B	128K / 0.7 GB	507	0
Bagel 20B V04 Llama	32K / 39.6 GB	6	7
Bagel DPO 20B V04 Llama	32K / 39.6 GB	7	3
...lm2 1.7B Distilled GPT Oss 20B	8K / 0 GB	35	3
...runed Base PostPruneRetraining	8K / 0 GB	5	0
...lerLM 20M Instruct Pruned Sft5	8K / 0.1 GB	12	0
Rose 20B	4K / 39.9 GB	114	46
Rose 20B GPTQ	4K / 10.5 GB	4	3
Rose 20B AWQ	4K / 10.9 GB	1	1

Note: green Score (e.g. "73.2") means that the model is better than 42MARU/GenAI-llama2-ko-en-instruct-20B-v1.