What are the hardware requirements for Opt Peter 1.3B?

Opt Peter 1.3B requires approximately 5.3 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 Peter 1.3B and how large is it?

Opt Peter 1.3B is developed by pszemraj, a model with 1.3b 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 Peter 1.3B?

Opt Peter 1.3B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Opt Peter 1.3B by pszemraj — VRAM 5.3GB, 2K context

Name: Opt Peter 1.3B
Author: pszemraj

Opt Peter 1.3B is an open-source language model by pszemraj. Features: 1.3b LLM, VRAM: 5.3GB, Context: 2K, License: apache-2.0, LLM Explorer Score: 0.01.

Chatbot Dialogue Endpoints compatible Generated from trainer Non-commercial Opt Pytorch Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/pszemraj/opt-peter-1.3B

Opt Peter 1.3B Parameters and Internals

Model Type

text-generation, dialogue, chatbot

Use Cases

Limitations:

Does not allow for commercial use

Considerations:

any statements or claims made by this model do not reflect actual claims/statements by me

Additional Notes

Exploring to see how OPT does in terms of dialogue/conversational applications. Seems to perform better than GPT-Neo with similar training parameters.

Training Details

Data Sources:

80k Whatsapp/iMessages

Model Architecture:

fine-tuned version of OPT

LLM Name	Opt Peter 1.3B
Repository 🤗	https://huggingface.co/pszemraj/opt-peter-1.3B
Model Size	1.3b
Required VRAM	5.3 GB
Updated	2026-07-27
Maintainer	pszemraj
Model Type	opt
Model Files	5.3 GB 5.3 GB 0.0 GB
Model Architecture	OPTForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	4.19.2
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 Peter 1.3B 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 Peter 1.3B

Best Alternatives	Context / RAM	Downloads	Likes
LLmRa 1.3B V2	2K / 5.3 GB	664	0
Opt 1.3B	2K / 2.6 GB	121972	185
... Distilled PromptKD Dolly V1.0	2K / 2.6 GB	7	0
Sparse0.5 OPT 1.3	2K / 2.6 GB	871	0
New Galactica 1.3b Mcq	2K / 2.6 GB	5	0
... Galactica 1.3b DPO 0.1beta Ai	2K / 2.6 GB	4	1
New Galactica 1.3b Mcq Rag	2K / 2.6 GB	8	0
New Galactica 1.3b Mcq No Rag	2K / 2.6 GB	6	0
... Galactica 1.3b DPO 0.1beta Ai	2K / 2.6 GB	5	0
...tica 1.3b 0.1beta Ai Raft Top3	2K / 2.6 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than pszemraj/opt-peter-1.3B.