What are the hardware requirements for Opt 2.7B Realtime Chat?

Opt 2.7B Realtime Chat requires approximately 11.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Opt 2.7B Realtime Chat and how large is it?

Opt 2.7B Realtime Chat is developed by AbrahamSanders, a model with 2.7b 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 Opt 2.7B Realtime Chat?

Opt 2.7B Realtime Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Opt 2.7B Realtime Chat by AbrahamSanders — VRAM 11.1GB, 2K context

Name: Opt 2.7B Realtime Chat
Author: AbrahamSanders

Opt 2.7B Realtime Chat is an open-source language model by AbrahamSanders. Features: 2.7b LLM, VRAM: 11.1GB, Context: 2K, License: cc-by-3.0, LLM Explorer Score: 0.04.

Endpoints compatible Opt Pytorch Region:us Sharded Tensorboard

Model Card on HF 🤗: https://huggingface.co/AbrahamSanders/opt-2.7b-realtime-chat

Opt 2.7B Realtime Chat Parameters and Internals

Model Type

causal language modeling

Training Details

Data Sources:

TalkBank CABank collection, CABNC, CallFriend English (N), CallFriend English (S), CallHome English, GCSAusE, ISL, MICASE, SCoSE

Input Output

Input Format:

Spoken dialogue sequence prefixed with participant information and notations.

Accepted Modalities:

text

LLM Name	Opt 2.7B Realtime Chat
Repository 🤗	https://huggingface.co/AbrahamSanders/opt-2.7b-realtime-chat
Model Size	2.7b
Required VRAM	11.1 GB
Updated	2026-08-11
Maintainer	AbrahamSanders
Model Type	opt
Model Files	10.0 GB: 1-of-2 1.1 GB: 2-of-2
Model Architecture	OPTForCausalLM
License	cc-by-3.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.24.0
Tokenizer Class	GPT2Tokenizer
Beginning of Sentence Token	</s>
End of Sentence Token	</s>
Unk Token	</s>
Vocabulary Size	50265
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Opt 2.7B Realtime Chat 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 Opt 2.7B Realtime Chat

Best Alternatives	Context / RAM	Downloads	Likes
LLmRa 2.7B	2K / 10.6 GB	642	1
Opt 2.7B	2K / 5.3 GB	35827	89
OPT 2.7B Nerybus Mix	2K / 5.5 GB	194	10
OPT 2.7B Erebus	2K / 5.3 GB	380	42
OPT 2.7B Nerys V2	2K / 5.3 GB	124	6
Opt 2.7B Realtime Chat V2	2K / 11.1 GB	9	0
LongForm OPT 2.7B	2K / 5.3 GB	5	3
Opt 2.7B Wikitext2	2K / 11.1 GB	6	0
Opt Peter 2.7B	2K / 10.6 GB	2	2
Opt 2.7B AWQ	2K / 1.6 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than AbrahamSanders/opt-2.7b-realtime-chat.