What are the hardware requirements for Inixion 2x8B V2?

Inixion 2x8B V2 requires approximately 27.4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Inixion 2x8B V2 and how large is it?

Inixion 2x8B V2 is developed by Alsebay, 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 Inixion 2x8B V2?

Inixion 2x8B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Inixion 2x8B V2 by Alsebay — VRAM 27.4GB, 8K context

Name: Inixion 2x8B V2
Author: Alsebay

Inixion 2x8B V2 is an open-source language model by Alsebay. Features: 13.7b LLM, VRAM: 27.4GB, Context: 8K, License: cc-by-nc-4.0, MoE, Instruction-Based, LLM Explorer Score: 0.13.

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

Model Card on HF 🤗: https://huggingface.co/Alsebay/Inixion-2x8B-v2

Inixion 2x8B V2 Parameters and Internals

Model Type

general task, RP

Use Cases

Primary Use Cases:

RP, general task

Limitations:

8B model base, lacks some knowledge and can cause trouble, Unexpected bug occurrences, Big model, requires at least 8GB VRAM, better with 12GB VRAM for GGUF version

Additional Notes

Could use RoPe scale to 16k context length but may be unstable. Not too violent and toxic.

Training Details

Data Sources:

MaziyarPanahi/Llama-3-8B-Instruct-v0.9, NeverSleep/Llama-3-Lumimaid-8B-v0.1, Sao10K/L3-8B-Stheno-v3.2

Methodology:

MoE merge

Context Length:

16000

LLM Name	Inixion 2x8B V2
Repository 🤗	https://huggingface.co/Alsebay/Inixion-2x8B-v2
Model Size	13.7b
Required VRAM	27.4 GB
Updated	2024-12-03
Maintainer	Alsebay
Model Type	mixtral
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-7 4.0 GB: 2-of-7 4.0 GB: 3-of-7 4.0 GB: 4-of-7 4.0 GB: 5-of-7 4.0 GB: 6-of-7 3.4 GB: 7-of-7
Model Architecture	MixtralForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|begin_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Inixion 2x8B V2 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 Inixion 2x8B V2

Best Alternatives	Context / RAM	Downloads	Likes
L3.1 Celestial Stone 2x8B	128K / 27.3 GB	312	3
...ma 3 2x8B Instruct MoE 64K Ctx	64K / 27.3 GB	12	4
Defne Llama3 2x8B	8K / 27.4 GB	15	6
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	11	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 Alsebay/Inixion-2x8B-v2.