What are the hardware requirements for BlazerApex Vision V4 MM?

BlazerApex Vision V4 MM requires approximately 4.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BlazerApex Vision V4 MM and how large is it?

BlazerApex Vision V4 MM is developed by Davizig10jojo, a model with 2b 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 BlazerApex Vision V4 MM?

BlazerApex Vision V4 MM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BlazerApex Vision V4 MM by Davizig10jojo — VRAM 4.4GB

Name: BlazerApex Vision V4 MM
Author: Davizig10jojo

BlazerApex Vision V4 MM is an open-source language model by Davizig10jojo. Features: 2b LLM, VRAM: 4.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

Base model:adapter:davizig10jo... Base model:davizig10jojo/blaze... Blazerapex Conversational En Endpoints compatible Image-text-to-text Lora Model-merge Multimodal Portuguese Pt Qwen3.5 Qwen3 5 Reasoning Region:us Safetensors Sft Slerp Vision

Model Card on HF 🤗: https://huggingface.co/Davizig10jojo/BlazerApex-Vision-V4-MM

BlazerApex Vision V4 MM Parameters and Internals

LLM Name	BlazerApex Vision V4 MM
Repository 🤗	https://huggingface.co/Davizig10jojo/BlazerApex-Vision-V4-MM
Base Model(s)	Qwen/Qwen3.5-2B BlazerApex Vision Fusion rikunarita/Qwen3.5-2B-Claude-Opus-4.6-high-resoning-Base-v2 Scoopala7/prism-1-coder amkkk/Qwen3.5_2B_Abiliterate_Opus_Distill Qwen/Qwen3.5-2B Davizig10jojo/BlazerApex-Vision-Fusion rikunarita/Qwen3.5-2B-Claude-Opus-4.6-high-resoning-Base-v2 Scoopala7/prism-1-coder amkkk/Qwen3.5_2B_Abiliterate_Opus_Distill
Model Size	2b
Required VRAM	4.4 GB
Updated	2026-10-10
Maintainer	Davizig10jojo
Model Type	qwen3_5
Model Files	4.4 GB
Supported Languages	pt en
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the BlazerApex Vision V4 MM 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 BlazerApex Vision V4 MM

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 2B	0K / 4.5 GB	2633311	352
WeMM Embedding 2B	0K / 5.4 GB	5433	68
Qwen3.5 2B Base	0K / 4.5 GB	809591	82
...e Qwen3.5 2B Decision MLX Bf16	0K / 3.8 GB	2801	2
Qwen3.8 2B Distill	0K / 4.5 GB	2056	24
Qwen3.5 2B	0K / 4.5 GB	103487	18
Intern Decision 2B	0K / 0.1 GB	162	9
Qwen3.5 2B Multiharness RL	0K / 4.4 GB	271	1
Qwen3.8 2B Distill Heretic	0K / 4.4 GB	226	1
Loopl 2B	0K / 4.4 GB	85	1

Note: green Score (e.g. "73.2") means that the model is better than Davizig10jojo/BlazerApex-Vision-V4-MM.