What are the hardware requirements for Evathene V1.3?

Evathene V1.3 requires approximately 146.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Evathene V1.3 and how large is it?

Evathene V1.3 is developed by sophosympatheia, a model with 72.7b 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 Evathene V1.3?

Evathene V1.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Evathene V1.3 by sophosympatheia — VRAM 146.1GB, 128K context

Name: Evathene V1.3
Author: sophosympatheia

Evathene V1.3 is an open-source language model by sophosympatheia. Features: 72.7b LLM, VRAM: 146.1GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Autotrain compatible Base model:sophosympatheia/eva... Base model:sophosympatheia/eva... Conversational Endpoints compatible Not-for-all-audiences Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sophosympatheia/Evathene-v1.3

Evathene V1.3 Parameters and Internals

LLM Name	Evathene V1.3
Repository 🤗	https://huggingface.co/sophosympatheia/Evathene-v1.3
Base Model(s)	sophosympatheia/Evathene-v1.1 sophosympatheia/Evathene-v1.2 sophosympatheia/Evathene-v1.1 sophosympatheia/Evathene-v1.2
Merged Model	Yes
Model Size	72.7b
Required VRAM	146.1 GB
Updated	2025-09-23
Maintainer	sophosympatheia
Model Type	qwen2
Model Files	5.0 GB: 1-of-31 5.0 GB: 2-of-31 4.8 GB: 3-of-31 4.8 GB: 4-of-31 4.8 GB: 5-of-31 5.0 GB: 6-of-31 4.8 GB: 7-of-31 4.8 GB: 8-of-31 4.8 GB: 9-of-31 5.0 GB: 10-of-31 4.8 GB: 11-of-31 4.8 GB: 12-of-31 4.8 GB: 13-of-31 5.0 GB: 14-of-31 4.8 GB: 15-of-31 4.8 GB: 16-of-31 4.8 GB: 17-of-31 5.0 GB: 18-of-31 4.8 GB: 19-of-31 4.8 GB: 20-of-31 4.8 GB: 21-of-31 5.0 GB: 22-of-31 4.8 GB: 23-of-31 4.8 GB: 24-of-31 4.8 GB: 25-of-31 5.0 GB: 26-of-31 4.8 GB: 27-of-31 4.8 GB: 28-of-31 4.8 GB: 29-of-31 5.0 GB: 30-of-31 0.3 GB: 31-of-31
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Evathene V1.3 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 Evathene V1.3

Best Alternatives	Context / RAM	Downloads	Likes
LeTriomphant2.2 ECE ILAB	32K / 206.2 GB	76	0
Arcee Nova	32K / 146 GB	77	53
Arcee Nova AWQ	32K / 41.6 GB	6	2

Note: green Score (e.g. "73.2") means that the model is better than sophosympatheia/Evathene-v1.3.