What are the hardware requirements for L3.1 Celestial Stone 2x8B?

L3.1 Celestial Stone 2x8B requires approximately 27.3 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 L3.1 Celestial Stone 2x8B and how large is it?

L3.1 Celestial Stone 2x8B is developed by v000000, a model with 13.7b 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 L3.1 Celestial Stone 2x8B?

L3.1 Celestial Stone 2x8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

L3.1 Celestial Stone 2x8B by v000000 — VRAM 27.3GB, 128K context

Name: L3.1 Celestial Stone 2x8B
Author: v000000

L3.1 Celestial Stone 2x8B is an open-source language model by v000000. Features: 13.7b LLM, VRAM: 27.3GB, Context: 128K, MoE, Instruction-Based, LLM Explorer Score: 0.15.

Autotrain compatible Base model:akjindal53244/llama... Base model:arcee-ai/llama-3.1-... Base model:arcee-ai/llama-spar... Base model:crestf411/sunfall-p... Base model:grimjim/llama-3-ins... Base model:merge:akjindal53244... Base model:merge:arcee-ai/llam... Base model:merge:arcee-ai/llam... Base model:merge:crestf411/sun... Base model:merge:grimjim/llama... Base model:merge:nothingiisrea... Base model:merge:sao10k/l3.1-8... Base model:merge:sao10k/llama-... Base model:nothingiisreal/l3.1... Base model:sao10k/l3.1-8b-niit... Base model:sao10k/llama-3.1-8b... Conversational Endpoints compatible Instruct Llama Llama3 Lora Merge Mixtral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/v000000/L3.1-Celestial-Stone-2x8B

L3.1 Celestial Stone 2x8B Parameters and Internals

LLM Name	L3.1 Celestial Stone 2x8B
Repository 🤗	https://huggingface.co/v000000/L3.1-Celestial-Stone-2x8B
Base Model(s)	nothingiisreal/L3.1-8B-Celeste-V1.5 Sao10K/Llama-3.1-8B-Stheno-v3.4 Sao10K/L3.1-8B-Niitama-v1.1 arcee-ai/Llama-3.1-SuperNova-Lite akjindal53244/Llama-3.1-Storm-8B Llama Spark ... Instruct Abliteration LoRA 8B crestf411/sunfall-peft nothingiisreal/L3.1-8B-Celeste-V1.5 Sao10K/Llama-3.1-8B-Stheno-v3.4 Sao10K/L3.1-8B-Niitama-v1.1 arcee-ai/Llama-3.1-SuperNova-Lite akjindal53244/Llama-3.1-Storm-8B arcee-ai/Llama-Spark grimjim/Llama-3-Instruct-abliteration-LoRA-8B crestf411/sunfall-peft
Model Size	13.7b
Required VRAM	27.3 GB
Updated	2024-10-06
Maintainer	v000000
Model Type	mixtral
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 4.9 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 4.9 GB: 5-of-6 2.5 GB: 6-of-6
Model Architecture	MixtralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the L3.1 Celestial Stone 2x8B 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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