What are the hardware requirements for EvoLLM JP A V1 7B?

EvoLLM JP A V1 7B requires approximately 14.4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EvoLLM JP A V1 7B and how large is it?

EvoLLM JP A V1 7B is developed by SakanaAI, 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 EvoLLM JP A V1 7B?

EvoLLM JP A V1 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EvoLLM JP A V1 7B by SakanaAI — VRAM 14.4GB, 32K context

Name: EvoLLM JP A V1 7B
Author: SakanaAI

EvoLLM JP A V1 7B is an open-source language model by SakanaAI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11.

Arxiv:2403.13187 Deploy:azure Endpoints compatible Ja Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SakanaAI/EvoLLM-JP-A-v1-7B

EvoLLM JP A V1 7B Parameters and Internals

Model Type

Autoregressive Language Model

Use Cases

Areas:

research and development

Limitations:

Not intended for commercial use or mission-critical deployment.

Considerations:

Users must fully understand the risks associated with the use of this model and use it at their own discretion.

Supported Languages

Japanese (fluent)

Input Output

Input Format:

list of role-content pairs for chat

Accepted Modalities:

text

Output Format:

generated text as reply to input

LLM Name	EvoLLM JP A V1 7B
Repository 🤗	https://huggingface.co/SakanaAI/EvoLLM-JP-A-v1-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-16
Maintainer	SakanaAI
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	ja
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the EvoLLM JP A V1 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

Best Alternatives to EvoLLM JP A V1 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than SakanaAI/EvoLLM-JP-A-v1-7B.