abenzerps/K2-Horizon-MoVA-36B-A4B-GGUF overview
IMPORTANT Compatibility: These GGUF files require a llama.cpp build with K2 Horizon architecture support. Until upstream support lands, use the MBZUAI IFM fork…
Runs locally from ~16.45 GB disk (24 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| K2-Horizon-MoVA-36B-A4B-Q3_K_M.gguf | GGUF | Q3_K_M | 16.45 GB | Download |
| K2-Horizon-MoVA-36B-A4B-Q4_0.gguf | GGUF | Q4_0 | 19.82 GB | Download |
| K2-Horizon-MoVA-36B-A4B-Q4_K_M.gguf | GGUF | Q4_K_M | 20.83 GB | Download |
| K2-Horizon-MoVA-36B-A4B-Q5_K_M.gguf | GGUF | Q5_K_M | 24.62 GB | Download |
| K2-Horizon-MoVA-36B-A4B-Q6_K.gguf | GGUF | Q6_K | 28.65 GB | Download |
| K2-Horizon-MoVA-36B-A4B-Q8_0.gguf | GGUF | Q8_0 | 37.10 GB | Download |
Model Details
| Model ID | abenzerps/K2-Horizon-MoVA-36B-A4B-GGUF |
|---|---|
| Author | abenzerps |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | IFM/K2-Horizon-MoVA-36B-A4B |
| Last modified | 2026-09-03T22:47:50.000Z |
Model README
---
base_model: IFM/K2-Horizon-MoVA-36B-A4B
base_model_relation: quantized
license: apache-2.0
language:
- en
library_name: gguf
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- k2-horizon
- long-context
- 512k-context
- mixture-of-experts
- mova
---
> [!IMPORTANT]
> Compatibility: These GGUF files require a llama.cpp build with K2 Horizon architecture support. Until upstream support lands, use the MBZUAI-IFM fork.
K2-Horizon-MoVA-36B-A4B GGUF
GGUF quantization of IFM/K2-Horizon-MoVA-36B-A4B, a sparse Mixture-of-Experts model with Mixture-of-Values attention (MoVA), 36B total parameters, and approximately 4B active parameters per token. The source checkpoint supports a native context length of 524,288 tokens (512K).
Benchmarks
!K2-Horizon-MoVA-36B-A4B benchmark results
Benchmark results reported by IFM for the original K2-Horizon-MoVA-36B-A4B checkpoint.
GGUF files
| Quantization | File | Size |
| --- | --- | ---: |
| Q3_K_M | K2-Horizon-MoVA-36B-A4B-Q3_K_M.gguf | 17.66 GB |
| Q4_K_M | K2-Horizon-MoVA-36B-A4B-Q4_K_M.gguf | 22.37 GB |
| Q4_0 | K2-Horizon-MoVA-36B-A4B-Q4_0.gguf | 21.28 GB |
| Q5_K_M | K2-Horizon-MoVA-36B-A4B-Q5_K_M.gguf | 26.44 GB |
| Q6_K | K2-Horizon-MoVA-36B-A4B-Q6_K.gguf | 30.77 GB |
| Q8_0 | K2-Horizon-MoVA-36B-A4B-Q8_0.gguf | 39.83 GB |
The model is text-only; no vision projector is required. SHA-256 checksums are provided in SHA256SUMS.txt.
Chat template
Each GGUF embeds the llama.cpp-compatible chat template. chat_template.jinja is a matching external copy for tools that require one. The original source template is retained as chat_template.upstream.jinja for runtimes with full Jinja support.
xml is the default tool-call format. Use --chat-template-kwargs to select json or xml_typed when required.
Usage
Use the IFM K2 Horizon llama.cpp fork. The example below uses a practical 128K context; use -c 524288 when available memory permits.
llama-cli \
-m K2-Horizon-MoVA-36B-A4B-Q4_K_M.gguf \
-c 131072 --jinja \
--temp 1.0 --top-p 0.95
Source
- Source model: IFM/K2-Horizon-MoVA-36B-A4B
- Source revision:
05cab0a - Source license: Apache-2.0
Run abenzerps/K2-Horizon-MoVA-36B-A4B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models