FitMyLLM
MBZUAI IFM/Dense

MK2 Horizon 32B

K2 Horizon 32B is the large dense member of MBZUAI IFM's fully open K2 Horizon family, with a 512K context and training data and code published alongside the weights.

chatcodingreasoningmathagentictool_use
34.78B
Parameters
512K
Context length
2
Benchmarks
14
Quantizations
7K
HF downloads
Architecture
Dense
Released
2026-09-03
Layers
64
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
IQ3_XXS3.25
17.6 GB
14.6 + 3.0 KV
low
IQ3_XS3.5
18.7 GB
15.7 + 3.0 KV
low
Q3_K_S3.64
19.3 GB
16.3 + 3.0 KV
low
IQ3_M3.76
19.8 GB
16.8 + 3.0 KV
low
Q3_K_M4
20.9 GB
17.9 + 3.0 KV
low
Q3_K_L4.3
22.2 GB
19.2 + 3.0 KV
moderate
IQ4_XS4.46
22.9 GB
19.9 + 3.0 KV
moderate
Q4_K_S4.67
23.8 GB
20.8 + 3.0 KV
moderate
Q4_K_M4.89
24.7 GB
21.7 + 3.0 KV
good
Q5_K_S5.57
27.7 GB
24.7 + 3.0 KV
good
Q5_K_M5.7
28.3 GB
25.3 + 3.0 KV
good
Q6_K6.56
32.0 GB
29.0 + 3.0 KV
excellent
Q8_08.5
40.4 GB
37.4 + 3.0 KV
lossless
FP1616
73.0 GB
70.0 + 3.0 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

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Community Ratings

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Benchmarks (2)

GPQA Diamond82.8
HLE25.2

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:35b-q4_K_M

Tag may need adjustment — check ollama.com/library/other for available tags.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

Apple M4 Pro (24GB)
24 GB VRAM • 273 GB/s
APPLE
$1399
NVIDIA L4 24GB
24 GB VRAM • 300 GB/s
NVIDIA
$2500
Apple M2 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M3 (24GB)
24 GB VRAM • 100 GB/s
APPLE
$999
Apple M4 (24GB)
24 GB VRAM • 120 GB/s
APPLE
$699
NVIDIA Tesla M40 24 GB
24 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P10
24 GB VRAM • 694 GB/s
NVIDIA
NVIDIA Tesla P40
24 GB VRAM • 347 GB/s
NVIDIA
NVIDIA RTX A5000
24 GB VRAM • 768 GB/s
NVIDIA
$2500
NVIDIA L40 CNX
24 GB VRAM • 864 GB/s
NVIDIA
$5000
NVIDIA L40G
24 GB VRAM • 864 GB/s
NVIDIA
$5000

Find the best GPU for K2 Horizon 32B

Build Hardware for K2 Horizon 32B
▸ SPEC SHEET

K2 Horizon 32B — 34.78B Dense.

▸ SPECIFICATIONS
PARAMETERS
34.78B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
512K tokens
CAPABILITIES
chat, coding, reasoning, math, agentic, tool_use
RELEASE DATE
2026-09-03
PROVIDER
MBZUAI IFM
FAMILY
other
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2514.6 GB82%
IQ3_XS3.515.7 GB84%
Q3_K_S3.6416.3 GB85%
IQ3_M3.7616.8 GB86%
Q3_K_M417.9 GB88%
Q3_K_L4.319.2 GB90%
IQ4_XS4.4619.9 GB92%
Q4_K_S4.6720.8 GB93%
Q4_K_M4.8921.7 GB94%
Q5_K_S5.5724.7 GB96%
Q5_K_M5.725.3 GB96%
Q6_K6.5629.0 GB97%
Q8_08.537.4 GB100%
FP161670.0 GB100%
§ 01BENCHMARK SCORES
GPQA Diamond82.8
HLE25.2
§ 03COMPATIBLE GPUs
30 @ Q4_K_M