What are the hardware requirements for Llama 3 IMPACTS 2x8B 64K MLX?

Llama 3 IMPACTS 2x8B 64K MLX requires approximately 27.4 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 Llama 3 IMPACTS 2x8B 64K MLX and how large is it?

Llama 3 IMPACTS 2x8B 64K MLX is developed by Severian. 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 Llama 3 IMPACTS 2x8B 64K MLX?

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

Llama 3 IMPACTS 2x8B 64K MLX by Severian — VRAM 27.4GB, 64K context

Name: Llama 3 IMPACTS 2x8B 64K MLX
Author: Severian

Llama 3 IMPACTS 2x8B 64K MLX is an open-source language model by Severian. Features: LLM, VRAM: 27.4GB, Context: 64K, License: mit, MoE, LLM Explorer Score: 0.12.

Model Card on HF 🤗: https://huggingface.co/Severian/Llama-3-IMPACTS-2x8B-64k-MLX

Llama 3 IMPACTS 2x8B 64K MLX Parameters and Internals

Model Type

text-generation

Supported Languages

en (high)

Training Details

Data Sources:

I.M.P.A.C.T. dataset

Data Volume:

35,000 examples

Context Length:

64000

Model Architecture:

Llama-3

LLM Name	Llama 3 IMPACTS 2x8B 64K MLX
Repository 🤗	https://huggingface.co/Severian/Llama-3-IMPACTS-2x8B-64k-MLX
Required VRAM	27.4 GB
Updated	2026-08-03
Maintainer	Severian
Model Type	mixtral
Model Files	5.3 GB: 1-of-6 5.3 GB: 2-of-6 5.3 GB: 3-of-6 5.3 GB: 4-of-6 5.1 GB: 5-of-6 1.1 GB: 6-of-6
Supported Languages	en
Model Architecture	MixtralForCausalLM
License	mit
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 Llama 3 IMPACTS 2x8B 64K MLX 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 Llama 3 IMPACTS 2x8B 64K MLX

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x22B Instruct V0.1 FP8	64K / 140.9 GB	98	0
Dolphin 2.6 Mixtral 8x7b	32K / 93.6 GB	11285	211
Dolphin 2.6 Mixtral 8x7b	32K / 93.6 GB	7806	217
...eqlen 4096 Bs 4 Optimum 0 0 23	32K / GB	8	0
...eqlen 4096 Bs 4 Optimum 0 0 23	32K / GB	9	1
Dolphin 2.7 Mixtral 8x7b	32K / 93.6 GB	2178	170
Empower Functions Medium	32K / 93.6 GB	17	1
Mixtral 8x7B Instruct V0.1	32K / GB	5	0
...ral 8x7b Instruct V0.1 Int4 Ov	32K / 0 GB	16	4
Nexus 4x7B IKM MLX	32K / 48.3 GB	64	3

Note: green Score (e.g. "73.2") means that the model is better than Severian/Llama-3-IMPACTS-2x8B-64k-MLX.