What are the hardware requirements for BBALAW1.6?

BBALAW1.6 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 BBALAW1.6 and how large is it?

BBALAW1.6 is developed by Lawnakk, a model with 7.6b 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 BBALAW1.6?

BBALAW1.6 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BBALAW1.6 by Lawnakk — VRAM 15.2GB, 128K context

Name: BBALAW1.6
Author: Lawnakk

BBALAW1.6 is an open-source language model by Lawnakk. Features: 7.6b LLM, VRAM: 15.2GB, Context: 128K, Merged, LLM Explorer Score: 0.26.

Merged Model Base model:brgx53/3blarenegv3-... Base model:supichi/bbai 525 ts... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Lawnakk/BBALAW1.6

BBALAW1.6 Parameters and Internals

LLM Name	BBALAW1.6
Repository 🤗	https://huggingface.co/Lawnakk/BBALAW1.6
Base Model(s)	...Blarenegv3 ECE PRYMMAL Martial BBAI 525 Tsu GZ Xia0 brgx53/3Blarenegv3-ECE-PRYMMAL-Martial Supichi/BBAI_525_Tsu_gZ_Xia0
Merged Model	Yes
Model Size	7.6b
Required VRAM	15.2 GB
Updated	2026-08-08
Maintainer	Lawnakk
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the BBALAW1.6 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 BBALAW1.6

Best Alternatives	Context / RAM	Downloads	Likes
Quasar 3.7	986K / 15.2 GB	805	0
Quasar 3.3 Max	986K / 15.2 GB	132	0
MQ Coldbrew Base	128K / 15.2 GB	761	0
MawaredT1	128K / 15.2 GB	2318	1
Mergekit 01	128K / 16.2 GB	6	0
BBAI 525 Tsu GZ Xia0	128K / 15.2 GB	8	0
Nature Reason 1.2 Reallysmall	128K / 15.2 GB	27	1
Exp 3 Q R	128K / 15.2 GB	6	0
Math Custom Data	128K / 15.2 GB	11	0
Marco LLM AR	128K / 15.3 GB	1626	0

Note: green Score (e.g. "73.2") means that the model is better than Lawnakk/BBALAW1.6.