What are the hardware requirements for L3 SAO MIX 8B V1?

L3 SAO MIX 8B 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 SAO MIX 8B V1 and how large is it?

L3 SAO MIX 8B V1 is developed by bluuwhale, 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 SAO MIX 8B V1?

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

L3 SAO MIX 8B V1 by bluuwhale — VRAM 16.1GB, 8K context

Name: L3 SAO MIX 8B V1
Author: bluuwhale

L3 SAO MIX 8B V1 is an open-source language model by bluuwhale. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, LLM Explorer Score: 0.14.

Base model:merge:sao10k/l3-8b-... Base model:merge:sao10k/l3-8b-... Base model:merge:sao10k/l3-8b-... Base model:merge:sao10k/l3-8b-... Base model:sao10k/l3-8b-lunari... Base model:sao10k/l3-8b-niitam... Base model:sao10k/l3-8b-stheno... Base model:sao10k/l3-8b-tamamo... Conversational Endpoints compatible Llama Merge Mergekit Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bluuwhale/L3-SAO-MIX-8B-V1

L3 SAO MIX 8B V1 Parameters and Internals

Model Type

text generation

Additional Notes

This model was merged using the della merge method. It's an experimental merge intended for use in RP and ERP on scenario cards.

Input Output

Input Format:

<|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {input}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {output}<|eot_id|>

Accepted Modalities:

text

Output Format:

text

LLM Name	L3 SAO MIX 8B V1
Repository 🤗	https://huggingface.co/bluuwhale/L3-SAO-MIX-8B-V1
Base Model(s)	L3 8B Lunaris V1 Sao10K/L3-8B-Stheno-v3.2 L3 8B Niitama V1 L3 8B Tamamo V1 Sao10K/L3-8B-Lunaris-v1 Sao10K/L3-8B-Stheno-v3.2 Sao10K/L3-8B-Niitama-v1 Sao10K/L3-8B-Tamamo-v1
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-03
Maintainer	bluuwhale
Model Type	llama
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
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.43.4
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the L3 SAO MIX 8B 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 SAO MIX 8B V1

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...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
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than bluuwhale/L3-SAO-MIX-8B-V1.