What are the hardware requirements for Tenebra 30B Alpha01 FP16?

Tenebra 30B Alpha01 FP16 requires approximately 65 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tenebra 30B Alpha01 FP16 and how large is it?

Tenebra 30B Alpha01 FP16 is developed by SicariusSicariiStuff, a model with 30b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Tenebra 30B Alpha01 FP16 perform on standard benchmarks?

Tenebra 30B Alpha01 FP16 has the following published scores: MMLU 54.29. Compare against reference models on this page or on the LLM Explorer leaderboards.

Tenebra 30B Alpha01 FP16 by SicariusSicariiStuff — VRAM 65GB, 16K context

Name: Tenebra 30B Alpha01 FP16
Author: SicariusSicariiStuff

Tenebra 30B Alpha01 FP16 is an open-source language model by SicariusSicariiStuff. Features: 30b LLM, VRAM: 65GB, Context: 16K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14, Arc: 64.5, HellaSwag: 84.8, MMLU: 54.3, GSM8K: 24.6.

Autotrain compatible En Endpoints compatible Fp16 Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/SicariusSicariiStuff/Tenebra_30B_Alpha01_FP16

Tenebra 30B Alpha01 FP16 Parameters and Internals

LLM Name	Tenebra 30B Alpha01 FP16
Repository 🤗	https://huggingface.co/SicariusSicariiStuff/Tenebra_30B_Alpha01_FP16
Model Size	30b
Required VRAM	65 GB
Updated	2025-03-08
Maintainer	SicariusSicariiStuff
Model Type	llama
Model Files	7.9 GB: 1-of-9 7.8 GB: 2-of-9 8.0 GB: 3-of-9 8.0 GB: 4-of-9 7.8 GB: 5-of-9 8.0 GB: 6-of-9 7.8 GB: 7-of-9 8.0 GB: 8-of-9 1.7 GB: 9-of-9
Supported Languages	en
Quantization Type	fp16
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	16384
Model Max Length	16384
Transformers Version	4.36.0
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Tenebra 30B Alpha01 FP16 capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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