What are the hardware requirements for K2 Horizon MoVA 36B A4B GPTQ Int4?

K2 Horizon MoVA 36B A4B GPTQ Int4 requires approximately 21.8 GB of VRAM and supports a context window of 512K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed K2 Horizon MoVA 36B A4B GPTQ Int4 and how large is it?

K2 Horizon MoVA 36B A4B GPTQ Int4 is developed by Siladrim, a model with 36b 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 K2 Horizon MoVA 36B A4B GPTQ Int4?

K2 Horizon MoVA 36B A4B GPTQ Int4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

K2 Horizon MoVA 36B A4B GPTQ Int4 by Siladrim — VRAM 21.8GB, 512K context

Name: K2 Horizon MoVA 36B A4B GPTQ Int4
Author: Siladrim

K2 Horizon MoVA 36B A4B GPTQ Int4 is an open-source language model by Siladrim. Features: 36b LLM, VRAM: 21.8GB, Context: 512K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

4-bit Base model:ifm/k2-horizon-mova... Base model:quantized:ifm/k2-ho... Conversational Custom code En Gptq Gptqmodel Int4 K2-horizon K2 horizon Moe Mova Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Siladrim/K2-Horizon-MoVA-36B-A4B-GPTQ-Int4

K2 Horizon MoVA 36B A4B GPTQ Int4 Parameters and Internals

LLM Name	K2 Horizon MoVA 36B A4B GPTQ Int4
Repository 🤗	https://huggingface.co/Siladrim/K2-Horizon-MoVA-36B-A4B-GPTQ-Int4
Base Model(s)	K2 Horizon MoVA 36B A4B IFM/K2-Horizon-MoVA-36B-A4B
Model Size	36b
Required VRAM	21.8 GB
Updated	2026-09-07
Maintainer	Siladrim
Model Type	k2_horizon
Model Files	4.3 GB: 1-of-6 4.3 GB: 2-of-6 4.3 GB: 3-of-6 4.3 GB: 4-of-6 4.3 GB: 5-of-6 0.3 GB: 6-of-6
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	K2HorizonForCausalLM
License	apache-2.0
Context Length	524288
Model Max Length	524288
Transformers Version	5.16.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|ifm\|endoftext\|>
Vocabulary Size	250624

Rank the K2 Horizon MoVA 36B A4B GPTQ Int4 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

Best Alternatives to K2 Horizon MoVA 36B A4B GPTQ Int4

Best Alternatives	Context / RAM	Downloads	Likes
K2 Horizon MoVA 36B A4B 4bit	512K / 26.5 GB	315	3
... Horizon MoVA 36B A4B MLX 4bit	512K / 15.6 GB	692	3
K2 Horizon MoVA 36B A4B 8bit	512K / 39.8 GB	126	1
K2 Horizon MoVA 36B A4B	512K / 63 GB	433	139
Jais 3 MoVA 36B A4B	512K / 149.8 GB	1569	9
K2 Horizon MoVA 36B A4B MLA	512K / 64.6 GB	536	1
...zon MoVA 36B A4B DERISKED BF16	512K / 64.6 GB	524	3
K2 Horizon MoVA 36B A4B OQ4e	512K / 22 GB	1098	2
...on MoVA 36B A4B DERISKED NVFP4	512K / 33.8 GB	242	1
...2 Horizon MoVA 36B A4B Heretic	512K / 74.9 GB	210	1

Note: green Score (e.g. "73.2") means that the model is better than Siladrim/K2-Horizon-MoVA-36B-A4B-GPTQ-Int4.