What are the hardware requirements for CoSER Llama 3.1 70B?

CoSER Llama 3.1 70B requires approximately 3.8 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 CoSER Llama 3.1 70B and how large is it?

CoSER Llama 3.1 70B is developed by Neph0s, a model with 70b 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 CoSER Llama 3.1 70B?

CoSER Llama 3.1 70B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CoSER Llama 3.1 70B by Neph0s — VRAM 3.8GB, 128K context

Name: CoSER Llama 3.1 70B
Author: Neph0s

CoSER Llama 3.1 70B is an open-source language model by Neph0s. Features: 70b LLM, VRAM: 3.8GB, Context: 128K, License: mit, LLM Explorer Score: 0.17.

Arxiv:2502.09082 Character simulation Dataset:neph0s/coser En Llama Llama-3.1 Persona Region:us Role-playing Safetensors

Model Card on HF 🤗: https://huggingface.co/Neph0s/CoSER-Llama-3.1-70B

CoSER Llama 3.1 70B Parameters and Internals

LLM Name	CoSER Llama 3.1 70B
Repository 🤗	https://huggingface.co/Neph0s/CoSER-Llama-3.1-70B
Model Size	70b
Required VRAM	3.8 GB
Updated	2026-08-05
Maintainer	Neph0s
Model Type	llama
Model Files	9.9 GB 9.8 GB 9.7 GB 9.7 GB 9.7 GB 10.0 GB 9.6 GB 9.9 GB 9.9 GB 9.9 GB 9.9 GB 9.9 GB 9.9 GB 9.9 GB 3.8 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

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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
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Multi-Language Support and Translation

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