What are the hardware requirements for ELYZA Japanese Llama 2 13B Fast Instruct GGUF?

ELYZA Japanese Llama 2 13B Fast Instruct GGUF requires approximately 5.5 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 ELYZA Japanese Llama 2 13B Fast Instruct GGUF and how large is it?

ELYZA Japanese Llama 2 13B Fast Instruct GGUF is developed by second-state, a model with 13b 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 ELYZA Japanese Llama 2 13B Fast Instruct GGUF?

ELYZA Japanese Llama 2 13B Fast Instruct GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ELYZA Japanese Llama 2 13B Fast Instruct GGUF by second-state — VRAM 5.5GB, 4K context

Name: ELYZA Japanese Llama 2 13B Fast Instruct GGUF
Author: second-state

ELYZA Japanese Llama 2 13B Fast Instruct GGUF is an open-source language model by second-state. Features: 13b LLM, VRAM: 5.5GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Base model:elyza/elyza-japanes... Base model:quantized:elyza/ely... En Gguf Instruct Ja Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF

ELYZA Japanese Llama 2 13B Fast Instruct GGUF Parameters and Internals

Model Type

text-generation

Supported Languages

ja (Japanese), en (English)

LLM Name	ELYZA Japanese Llama 2 13B Fast Instruct GGUF
Repository 🤗	https://huggingface.co/second-state/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF
Model Name	ELYZA-japanese-Llama-2-13b-fast-instruct
Model Creator	elyza
Base Model(s)	...nese Llama 2 13B Fast Instruct elyza/ELYZA-japanese-Llama-2-13b-fast-instruct
Model Size	13b
Required VRAM	5.5 GB
Updated	2026-08-07
Maintainer	second-state
Model Type	llama
Instruction-Based	Yes
Model Files	5.5 GB 7.0 GB 6.4 GB 5.7 GB 7.5 GB 8.0 GB 7.5 GB 9.1 GB 9.3 GB 9.1 GB 10.8 GB 14.0 GB
Supported Languages	ja en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Vocabulary Size	44581
Torch Data Type	bfloat16

Rank the ELYZA Japanese Llama 2 13B Fast Instruct GGUF 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 ELYZA Japanese Llama 2 13B Fast Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 13B Instruct GGUF	16K / 5.4 GB	611	2
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
...13B Instruct Nf4 Fp16 Upscaled	16K / 26 GB	6	0
... Codellama Instruct 13B Lora64	16K / 26 GB	31	0
... Instruct 13B Alpacamod Lora64	16K / 26 GB	28	0
...ama Instruct 13B Alpaca Lora64	16K / 26 GB	26	0
Model 007 13b V2	4K / 26 GB	57	4
...B Fast Instruct 4bit Quantized	4K / 7.8 GB	6	0
...igogne2 Enno 13B Sft Lora 4bit	4K / 26 GB	786	0

Note: green Score (e.g. "73.2") means that the model is better than second-state/ELYZA-japanese-Llama-2-13b-fast-instruct-GGUF.