What are the hardware requirements for Serpents Tongue L3.3 70B 0.3?

Serpents Tongue L3.3 70B 0.3 requires approximately 204.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Serpents Tongue L3.3 70B 0.3 and how large is it?

Serpents Tongue L3.3 70B 0.3 is developed by BruhzWater, a model with 70b 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 Serpents Tongue L3.3 70B 0.3?

Serpents Tongue L3.3 70B 0.3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Serpents Tongue L3.3 70B 0.3 by BruhzWater — VRAM 204.4GB, 128K context

Name: Serpents Tongue L3.3 70B 0.3
Author: BruhzWater

Serpents Tongue L3.3 70B 0.3 is an open-source language model by BruhzWater. Features: 70b LLM, VRAM: 204.4GB, Context: 128K, Merged, LLM Explorer Score: 0.19.

Merged Model Arxiv:2408.07990 Autotrain compatible Conversational Endpoints compatible Llama Not-for-all-audiences Region:us Safetensors Sharded Tensorflow Unaligned

Model Card on HF 🤗: https://huggingface.co/BruhzWater/Serpents-Tongue-L3.3-70b-0.3

Serpents Tongue L3.3 70B 0.3 Parameters and Internals

LLM Name	Serpents Tongue L3.3 70B 0.3
Repository 🤗	https://huggingface.co/BruhzWater/Serpents-Tongue-L3.3-70b-0.3
Merged Model	Yes
Model Size	70b
Required VRAM	204.4 GB
Updated	2025-09-23
Maintainer	BruhzWater
Model Type	llama
Model Files	4.4 GB: 1-of-62 4.4 GB: 2-of-62 3.1 GB: 3-of-62 4.2 GB: 4-of-62 4.7 GB: 5-of-62 3.8 GB: 6-of-62 4.2 GB: 7-of-62 4.4 GB: 8-of-62 4.4 GB: 9-of-62 4.7 GB: 10-of-62 4.7 GB: 11-of-62 4.3 GB: 12-of-62 4.4 GB: 13-of-62 4.9 GB: 14-of-62 4.4 GB: 15-of-62 4.4 GB: 16-of-62 4.9 GB: 17-of-62 4.7 GB: 18-of-62 4.4 GB: 19-of-62 4.4 GB: 20-of-62 4.7 GB: 21-of-62 4.9 GB: 22-of-62 5.0 GB: 23-of-62 4.7 GB: 24-of-62 4.9 GB: 25-of-62 4.4 GB: 26-of-62 4.4 GB: 27-of-62 5.0 GB: 28-of-62 4.4 GB: 29-of-62 4.4 GB: 30-of-62 4.9 GB: 31-of-62 4.4 GB: 32-of-62 4.4 GB: 33-of-62 4.6 GB: 34-of-62 4.7 GB: 35-of-62 4.6 GB: 36-of-62 4.4 GB: 37-of-62 4.7 GB: 38-of-62 4.9 GB: 39-of-62 4.8 GB: 40-of-62 4.9 GB: 41-of-62 4.9 GB: 42-of-62 4.9 GB: 43-of-62 4.1 GB: 44-of-62 4.6 GB: 45-of-62
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.53.2
Vocabulary Size	128256
Torch Data Type	float32

Rank the Serpents Tongue L3.3 70B 0.3 capabilities

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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

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