What are the hardware requirements for Boris 2 Think Instruct?

Boris 2 Think Instruct requires approximately 0.6 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 Boris 2 Think Instruct and how large is it?

Boris 2 Think Instruct is developed by opencerebral, a model with 144.2m 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 Boris 2 Think Instruct?

Boris 2 Think Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Boris 2 Think Instruct by opencerebral — VRAM 0.6GB, 2K context

Name: Boris 2 Think Instruct
Author: opencerebral

Boris 2 Think Instruct is an open-source language model by opencerebral. Features: 144.2m LLM, VRAM: 0.6GB, Context: 2K, License: apache-2.0, Instruction-Based.

Base model:finetune:opencerebr... Base model:opencerebral/boris-... Boris2 Chat Conversational Custom code Dataset:huggingfacetb/smol-smo... Dataset:slmconsortium/openthin... En Instruct Reasoning Region:us Safetensors Small-language-model

Model Card on HF 🤗: https://huggingface.co/opencerebral/Boris-2-Think-Instruct

Boris 2 Think Instruct Parameters and Internals

LLM Name	Boris 2 Think Instruct
Repository 🤗	https://huggingface.co/opencerebral/Boris-2-Think-Instruct
Base Model(s)	Boris 2 opencerebral/Boris-2
Model Size	144.2m
Required VRAM	0.6 GB
Updated	2026-11-14
Maintainer	opencerebral
Model Type	boris2
Instruction-Based	Yes
Model Files	0.6 GB
Supported Languages	en
Model Architecture	Boris2ForCausalLM
License	apache-2.0
Context Length	2048
Model Max Length	2048
Transformers Version	5.15.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|endoftext\|>
Vocabulary Size	32768

Rank the Boris 2 Think Instruct 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 Boris 2 Think Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Boris 2 Instruct	2K / 0.6 GB	155	4

Note: green Score (e.g. "73.2") means that the model is better than opencerebral/Boris-2-Think-Instruct.