What are the hardware requirements for Core 350?

Core 350 requires approximately 1.3 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 Core 350 and how large is it?

Core 350 is developed by ccore. 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 Core 350?

Core 350 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Core 350 by ccore — VRAM 1.3GB, 2K context

Name: Core 350
Author: ccore

Core 350 is an open-source language model by ccore. Features: LLM, VRAM: 1.3GB, Context: 2K, LLM Explorer Score: 0.09.

Endpoints compatible Generated from trainer Opt Pytorch Region:us

Model Card on HF 🤗: https://huggingface.co/ccore/core-350

Core 350 Parameters and Internals

LLM Name	Core 350
Repository 🤗	https://huggingface.co/ccore/core-350
Required VRAM	1.3 GB
Updated	2026-08-03
Maintainer	ccore
Model Type	opt
Model Files	1.3 GB 0.0 GB
Model Architecture	OPTForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.35.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	<pad>
Vocabulary Size	50272
Torch Data Type	float32
Activation Function	relu
Errors	replace

Rank the Core 350 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 Core 350

Best Alternatives	Context / RAM	Downloads	Likes
Spacescience	2K / 3.2 GB	8	0
Synthetic4	2K / 3.2 GB	26	0
...Step3 Rlhf Actor Model Opt1.3B	2K / 3.2 GB	8	1
...IJM80K5NJ0153L8H6P0LKGBH46O1FR	2K / 5.3 GB	96	0
...IJGEDTROT8NYV94YHO91YCQTDMMSP4	2K / 5.3 GB	93	0
...23J4QWZMIQMDHE11LW81CTY8YWQ0GZ	2K / 5.3 GB	93	0
...8X7SO3BQJ205L6RBNEZSIZRCMSIW2V	2K / 5.3 GB	96	0
...U9GJ1CY8NQ8VVSDE18915SJI08HEJX	2K / 5.3 GB	10	0
...DN7HWZK26MU53SK114P5LBFVET1MDY	2K / 5.3 GB	5	0
Pushkar OPT Paraphaser	2K / 1.3 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than ccore/core-350.