What are the hardware requirements for Umbr0x 1.5B V3.1 16bit 2?

Umbr0x 1.5B V3.1 16bit 2 requires approximately 15.2 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 Umbr0x 1.5B V3.1 16bit 2 and how large is it?

Umbr0x 1.5B V3.1 16bit 2 is developed by gabrielbosse9, 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 Umbr0x 1.5B V3.1 16bit 2?

Umbr0x 1.5B V3.1 16bit 2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Umbr0x 1.5B V3.1 16bit 2 by gabrielbosse9 — VRAM 15.2GB, 128K context

Name: Umbr0x 1.5B V3.1 16bit 2
Author: gabrielbosse9

Umbr0x 1.5B V3.1 16bit 2 is an open-source language model by gabrielbosse9. Features: 1.5b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

16bit Autotrain compatible Base model:finetune:gabrielbos... Base model:gabrielbosse9/umbr0... En Endpoints compatible Pytorch Quantized Qwen2 Region:us Sft Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/gabrielbosse9/Umbr0x-1.5B-V3.1-16bit-2

Umbr0x 1.5B V3.1 16bit 2 Parameters and Internals

LLM Name	Umbr0x 1.5B V3.1 16bit 2
Repository 🤗	https://huggingface.co/gabrielbosse9/Umbr0x-1.5B-V3.1-16bit-2
Base Model(s)	gabrielbosse9/Umbr0x-1.5B-V3.1-16bit gabrielbosse9/Umbr0x-1.5B-V3.1-16bit
Model Size	1.5b
Required VRAM	15.2 GB
Updated	2025-04-27
Maintainer	gabrielbosse9
Model Type	qwen2
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Quantization Type	16bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Umbr0x 1.5B V3.1 16bit 2 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 Umbr0x 1.5B V3.1 16bit 2

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 1.5B Mlx 4bit	128K / 0.9 GB	1055	26
...ill Qwen 1.5B Unsloth Bnb 4bit	128K / 1.8 GB	11066	16
Eval Model	128K / 7.1 GB	9	1
DeepSeek R1 ForumNXT	128K / 3.5 GB	8	0
Research PathfinderAI	128K / 3.5 GB	19	0
...en 1.5B Trained Alvin0616 Fork	128K / 3.5 GB	18	0
... R1 Distill Qwen 1.5B Bnb 4bit	128K / 1.6 GB	2008	11
...pSeek R1 Distill Qwen 1.5B 500	128K / 1.7 GB	6	0
Qwen2 1.5B SFT 16bit Alpha	128K / 3.1 GB	8	0
Deep Ft8 Grp 16bit	128K / 3.5 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than gabrielbosse9/Umbr0x-1.5B-V3.1-16bit-2.