What are the hardware requirements for L3 SMB Instruct 12.2B F32?

L3 SMB Instruct 12.2B F32 requires approximately 42.3 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed L3 SMB Instruct 12.2B F32 and how large is it?

L3 SMB Instruct 12.2B F32 is developed by DavidAU, a model with 8b 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 L3 SMB Instruct 12.2B F32?

L3 SMB Instruct 12.2B F32 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3 SMB Instruct 12.2B F32 by DavidAU — VRAM 42.3GB, 8K context

Name: L3 SMB Instruct 12.2B F32
Author: DavidAU

L3 SMB Instruct 12.2B F32 is an open-source language model by DavidAU. Features: 8b LLM, VRAM: 42.3GB, Context: 8K, Instruction-Based, Merged, LLM Explorer Score: 0.19.

Merged Model Autotrain compatible Conversational Endpoints compatible Instruct Llama Model-index Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DavidAU/L3-SMB-Instruct-12.2B-F32

L3 SMB Instruct 12.2B F32 Parameters and Internals

LLM Name	L3 SMB Instruct 12.2B F32
Repository 🤗	https://huggingface.co/DavidAU/L3-SMB-Instruct-12.2B-F32
Merged Model	Yes
Model Size	8b
Required VRAM	42.3 GB
Updated	2025-09-28
Maintainer	DavidAU
Model Type	llama
Instruction-Based	Yes
Model Files	2.1 GB: 1-of-53 2.1 GB: 2-of-53 0.9 GB: 3-of-53 0.9 GB: 4-of-53 0.9 GB: 5-of-53 0.8 GB: 6-of-53 0.9 GB: 7-of-53 0.8 GB: 8-of-53 0.9 GB: 9-of-53 0.8 GB: 10-of-53 0.9 GB: 11-of-53 0.8 GB: 12-of-53 0.9 GB: 13-of-53 0.8 GB: 14-of-53 0.9 GB: 15-of-53 0.8 GB: 16-of-53 0.9 GB: 17-of-53 0.8 GB: 18-of-53 0.9 GB: 19-of-53 0.8 GB: 20-of-53 0.9 GB: 21-of-53 0.8 GB: 22-of-53 0.9 GB: 23-of-53 0.8 GB: 24-of-53 0.9 GB: 25-of-53 0.9 GB: 26-of-53 0.8 GB: 27-of-53 0.9 GB: 28-of-53 0.8 GB: 29-of-53 0.9 GB: 30-of-53 0.8 GB: 31-of-53 0.9 GB: 32-of-53 0.8 GB: 33-of-53 0.9 GB: 34-of-53 0.8 GB: 35-of-53 0.9 GB: 36-of-53 0.9 GB: 37-of-53 0.9 GB: 38-of-53 0.9 GB: 39-of-53 0.9 GB: 40-of-53 0.9 GB: 41-of-53 0.9 GB: 42-of-53 0.9 GB: 43-of-53 0.9 GB: 44-of-53 0.9 GB: 45-of-53 0.9 GB: 46-of-53
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.3
Vocabulary Size	128256
Torch Data Type	float32

Rank the L3 SMB Instruct 12.2B F32 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 L3 SMB Instruct 12.2B F32

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/L3-SMB-Instruct-12.2B-F32.