What are the hardware requirements for CellHermes V1.0?

CellHermes V1.0 requires approximately 16.1 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 CellHermes V1.0 and how large is it?

CellHermes V1.0 is developed by EthanGao123, a model with 8b 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 CellHermes V1.0?

CellHermes V1.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CellHermes V1.0 by EthanGao123 — VRAM 16.1GB, 128K context

Name: CellHermes V1.0
Author: EthanGao123

CellHermes V1.0 is an open-source language model by EthanGao123. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, Instruction-Based, LLM Explorer Score: 0.2.

Arxiv:2407.21783 Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Bio-reasoning Biology En Endpoints compatible Feature-extraction Instruct Llama Omics Ppi Region:us Safetensors Scrna-seq Sharded Tensorflow Text-embeddings-inference

Model Card on HF 🤗: https://huggingface.co/EthanGao123/CellHermes-v1.0

CellHermes V1.0 Parameters and Internals

LLM Name	CellHermes V1.0
Repository 🤗	https://huggingface.co/EthanGao123/CellHermes-v1.0
Base Model(s)	meta-llama/Llama-3.1-8B-Instruct meta-llama/Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-05
Maintainer	EthanGao123
Model Type	llama
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-9 1.9 GB: 2-of-9 2.0 GB: 3-of-9 1.9 GB: 4-of-9 2.0 GB: 5-of-9 1.9 GB: 6-of-9 2.0 GB: 7-of-9 1.3 GB: 8-of-9 1.1 GB: 9-of-9
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the CellHermes V1.0 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 CellHermes V1.0

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than EthanGao123/CellHermes-v1.0.