What are the hardware requirements for BBA99?

BBA99 requires approximately 34.5 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 BBA99 and how large is it?

BBA99 is developed by Supichi, a model with 32b 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 BBA99?

BBA99 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BBA99 by Supichi — VRAM 34.5GB, 32K context

Name: BBA99
Author: Supichi

BBA99 is an open-source language model by Supichi. Features: 32b LLM, VRAM: 34.5GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

Merged Model Base model:qwen/qwen2.5-32b-in... Base model:zetasepic/qwen2.5-3... Conversational Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Supichi/BBA99

BBA99 Parameters and Internals

LLM Name	BBA99
Repository 🤗	https://huggingface.co/Supichi/BBA99
Base Model(s)	Qwen/Qwen2.5-32B-Instruct zetasepic/Qwen2.5-32B-Instruct-abliterated-v2 Qwen/Qwen2.5-32B-Instruct zetasepic/Qwen2.5-32B-Instruct-abliterated-v2
Merged Model	Yes
Model Size	32b
Required VRAM	34.5 GB
Updated	2026-07-24
Maintainer	Supichi
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-7 5.0 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 4.9 GB: 5-of-7 4.9 GB: 6-of-7 4.9 GB: 7-of-7
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 BBA99 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 BBA99

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4
Franqwenstein 35B	128K / 69.8 GB	5	8
ELYZA Thinking 1.0 Qwen 32B	128K / 65.8 GB	23	10
Archaeo 32B KTO	128K / 65.8 GB	19	4
Hamanasu Magnum QwQ 32B	128K / 65.8 GB	295	9
Qwen2.5 32B Gokgok Step3	128K / 65.7 GB	6	0
Openthaigpt R1 32B Instruct	128K / 65.8 GB	33	8
Qwen2.5 32B Dark Days Stage2	128K / 65.8 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than Supichi/BBA99.