What are the hardware requirements for Meta Llama 3 2x8B Instruct MoE 64K Ctx?

Meta Llama 3 2x8B Instruct MoE 64K Ctx requires approximately 27.3 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Meta Llama 3 2x8B Instruct MoE 64K Ctx and how large is it?

Meta Llama 3 2x8B Instruct MoE 64K Ctx is developed by NurtureAI, 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 Meta Llama 3 2x8B Instruct MoE 64K Ctx?

Meta Llama 3 2x8B Instruct MoE 64K Ctx is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Meta Llama 3 2x8B Instruct MoE 64K Ctx by NurtureAI — VRAM 27.3GB, 64K context

Name: Meta Llama 3 2x8B Instruct MoE 64K Ctx
Author: NurtureAI

Meta Llama 3 2x8B Instruct MoE 64K Ctx is an open-source language model by NurtureAI. Features: 13.7b LLM, VRAM: 27.3GB, Context: 64K, License: llama3, MoE, Instruction-Based, LLM Explorer Score: 0.12.

Autotrain compatible Conversational Endpoints compatible Instruct Mixtral Moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/NurtureAI/Meta-Llama-3-2x8B-Instruct-MoE-64k-ctx

Meta Llama 3 2x8B Instruct MoE 64K Ctx Parameters and Internals

LLM Name	Meta Llama 3 2x8B Instruct MoE 64K Ctx
Repository 🤗	https://huggingface.co/NurtureAI/Meta-Llama-3-2x8B-Instruct-MoE-64k-ctx
Model Size	13.7b
Required VRAM	27.3 GB
Updated	2024-12-08
Maintainer	NurtureAI
Model Type	mixtral
Instruction-Based	Yes
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 7.5 GB: 3-of-3
Model Architecture	MixtralForCausalLM
License	llama3
Context Length	65536
Model Max Length	65536
Transformers Version	4.41.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 2x8B Instruct MoE 64K Ctx 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 Meta Llama 3 2x8B Instruct MoE 64K Ctx

Best Alternatives	Context / RAM	Downloads	Likes
L3.1 Celestial Stone 2x8B	128K / 27.3 GB	312	3
Defne Llama3 2x8B	8K / 27.4 GB	15	6
Inixion 2x8B V2	8K / 27.4 GB	6	2
MoE Llama3 8bx2 Rag	8K / 27.3 GB	7	0
Inixion 2x8B	8K / 27.5 GB	9	1
Llama 3 Chatty 2x8B	8K / 27.3 GB	6	11
FinalFintetuning XVIII 2x8B	8K / 27.5 GB	29	4
Llama 3 Teal Instruct 2x8B MoE	8K / 27.3 GB	8	0
Llama 3 8Bx2 MoE DPO	8K / 27.4 GB	4	1
...lama3 2x8b MoE 41K Experiment1	8K / 27.3 GB	5	2

Note: green Score (e.g. "73.2") means that the model is better than NurtureAI/Meta-Llama-3-2x8B-Instruct-MoE-64k-ctx.