What are the hardware requirements for L3 8B Niitama V1?

L3 8B Niitama V1 requires approximately 16.1 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 8B Niitama V1 and how large is it?

L3 8B Niitama V1 is developed by Sao10K, 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 8B Niitama V1?

L3 8B Niitama V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3 8B Niitama V1 by Sao10K — VRAM 16.1GB, 8K context

Name: L3 8B Niitama V1
Author: Sao10K

L3 8B Niitama V1 is an open-source language model by Sao10K. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.21.

Conversational Deploy:azure En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sao10K/L3-8B-Niitama-v1

L3 8B Niitama V1 Parameters and Internals

Additional Notes

An experimental model using experimental methods. More detail on it: Tamamo and Niitama are made from the same data. Literally. The only thing that's changed is how they're shuffled and formatted. Yet, I get wildly different results. Interesting, eh? Surprising, or not so surprising, the L3 versions did better than the L3.1 versions. L3.1 felt like a mess.

Supported Languages

en (English)

LLM Name	L3 8B Niitama V1
Repository 🤗	https://huggingface.co/Sao10K/L3-8B-Niitama-v1
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-07
Maintainer	Sao10K
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.3
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the L3 8B Niitama V1 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 8B Niitama V1

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 Sao10K/L3-8B-Niitama-v1.