What are the hardware requirements for Blaze?

Blaze requires approximately 0.2 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 Blaze and how large is it?

Blaze is developed by SurjoLabs, a model with 48.3m 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 Blaze?

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

Blaze by SurjoLabs — VRAM 0.2GB, 2K context

Name: Blaze
Author: SurjoLabs

Blaze is an open-source language model by SurjoLabs. Features: 48.3m LLM, VRAM: 0.2GB, Context: 2K, License: mit, LLM Explorer Score: 0.3.

Blaze Conversational Custom-architecture Custom code En Region:us Safetensors Slm Small-language-model

Model Card on HF 🤗: https://huggingface.co/SurjoLabs/Blaze

Blaze Parameters and Internals

LLM Name	Blaze
Repository 🤗	https://huggingface.co/SurjoLabs/Blaze
Model Size	48.3m
Required VRAM	0.2 GB
Updated	2026-08-28
Maintainer	SurjoLabs
Model Type	blaze
Model Files	0.2 GB 0.2 GB 0.0 GB
Supported Languages	en
Model Architecture	BlazeForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	5.15.1
Vocabulary Size	8192

Rank the Blaze 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 Blaze

Best Alternatives	Context / RAM	Downloads	Likes
Blaze SFT	2K / 0.1 GB	1253	2

Note: green Score (e.g. "73.2") means that the model is better than SurjoLabs/Blaze.