What are the hardware requirements for Intellect V0.1 1.8B?

Intellect V0.1 1.8B requires approximately 7.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Intellect V0.1 1.8B and how large is it?

Intellect V0.1 1.8B is developed by XeTute, a model with 1.5b 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 Intellect V0.1 1.8B?

Intellect V0.1 1.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Intellect V0.1 1.8B by XeTute — VRAM 7.1GB, 128K context

Name: Intellect V0.1 1.8B
Author: XeTute

Intellect V0.1 1.8B is an open-source language model by XeTute. Features: 1.5b LLM, VRAM: 7.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Autotrain compatible Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Chinese Conversational Dataset:o1-open/openo1-sft En Endpoints compatible English Qwen2 Reasoning Region:us Safetensors Sharded Small Tensorflow Tiny Ur Zh

Model Card on HF 🤗: https://huggingface.co/XeTute/Intellect_V0.1-1.8B

Intellect V0.1 1.8B Parameters and Internals

LLM Name	Intellect V0.1 1.8B
Repository 🤗	https://huggingface.co/XeTute/Intellect_V0.1-1.8B
Base Model(s)	deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
Model Size	1.5b
Required VRAM	7.1 GB
Updated	2025-03-05
Maintainer	XeTute
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 2.1 GB: 2-of-2
Supported Languages	en zh ur
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	float32

Rank the Intellect V0.1 1.8B 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 Intellect V0.1 1.8B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	11	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
VibeThinker 1.5B	128K / 3.5 GB	3417	552
Merge Cord V1	128K / 3.1 GB	155	1
...FT Tulu3 Decontaminated Masked	128K / 3.1 GB	167	0
Qwen2 1.5B	128K / 3.1 GB	195380	102

Note: green Score (e.g. "73.2") means that the model is better than XeTute/Intellect_V0.1-1.8B.