What are the hardware requirements for CORe Pico 4?

CORe Pico 4 requires approximately 3.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CORe Pico 4 and how large is it?

CORe Pico 4 is developed by OpenCOReTechnologies, a model with 1.7b 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 CORe Pico 4?

CORe Pico 4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

CORe Pico 4 by OpenCOReTechnologies — VRAM 3.4GB, 40K context

Name: CORe Pico 4
Author: OpenCOReTechnologies

CORe Pico 4 is an open-source language model by OpenCOReTechnologies. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.34.

Conversational Endpoints compatible Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OpenCOReTechnologies/CORe-Pico-4

CORe Pico 4 Parameters and Internals

LLM Name	CORe Pico 4
Repository 🤗	https://huggingface.co/OpenCOReTechnologies/CORe-Pico-4
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-09-19
Maintainer	OpenCOReTechnologies
Model Type	qwen3
Model Files	3.4 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.53.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the CORe Pico 4 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 Pico 4

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
CORe Pico V3	40K / 3.4 GB	720	0
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0
Atomight V2.5 1.7B	40K / 3.4 GB	1406	1
Qwen3 1.7B Base MED ChatVector	40K / 3.4 GB	204	1