What are the hardware requirements for BBAIK29?

BBAIK29 requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BBAIK29 and how large is it?

BBAIK29 is developed by Supichi, 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 BBAIK29?

BBAIK29 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BBAIK29 by Supichi — VRAM 15.2GB, 32K context

Name: BBAIK29
Author: Supichi

BBAIK29 is an open-source language model by Supichi. Features: 7.6b LLM, VRAM: 15.2GB, Context: 32K, Merged, LLM Explorer Score: 0.25.

Merged Model Base model:lkoenig/bbai 230 xi... Base model:supichi/bbai 250 xi... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Supichi/BBAIK29

BBAIK29 Parameters and Internals

LLM Name	BBAIK29
Repository 🤗	https://huggingface.co/Supichi/BBAIK29
Base Model(s)	BBAI 230 Xiaqwen BBAI 250 Xia0 GZ lkoenig/BBAI_230_Xiaqwen Supichi/BBAI_250_Xia0_gZ
Merged Model	Yes
Model Size	7.6b
Required VRAM	15.2 GB
Updated	2026-06-09
Maintainer	Supichi
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	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the BBAIK29 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 BBAIK29

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
BBALAW1.6	128K / 15.2 GB	7	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

Note: green Score (e.g. "73.2") means that the model is better than Supichi/BBAIK29.