FitMyLLM
MBZUAI IFM/Dense

MK2 Horizon 7B

K2 Horizon 7B is the mid dense member of MBZUAI IFM's fully open K2 Horizon family: about 9B on disk because of its 250K-token vocabulary, with a 512K context and a reasoning post-train that IFM says reaches 70.6 on SWE-bench Verified.

chatcodingreasoningmathagentictool_use
9B
Parameters
512K
Context length
9
Benchmarks
6
Quantizations
85K
HF downloads
Architecture
Dense
Released
2026-09-03
Layers
36
KV Heads
8
Head Dim
128
Family
other

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
7.7 GB
6.0 + 1.7 KV
good
Q5_K_S5.57
8.4 GB
6.8 + 1.7 KV
good
Q5_K_M5.7
8.6 GB
6.9 + 1.7 KV
good
Q6_K6.56
9.6 GB
7.9 + 1.7 KV
excellent
Q8_08.5
11.7 GB
10.1 + 1.7 KV
lossless
FP1616
20.2 GB
18.5 + 1.7 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN K2 HORIZON 7B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (9)

AIME90.3
GPQA Diamond75.3
LiveCodeBench72.7
SWE-bench72.4
AA Long Context69.7
Terminal-Bench 2.144.2
SciCode27.5
HLE18.2
Terminal-Bench 41.0

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run other:9b-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.

NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for K2 Horizon 7B

Build Hardware for K2 Horizon 7B
▸ SPEC SHEET

K2 Horizon 7B — 9B Dense.

▸ SPECIFICATIONS
PARAMETERS
9B
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
Q4_K_M4.896.0 GB94%
Q5_K_S5.576.8 GB96%
Q5_K_M5.76.9 GB96%
Q6_K6.567.9 GB97%
Q8_08.510.1 GB100%
FP161618.5 GB100%
§ 01BENCHMARK SCORES
GPQA Diamond75.3
LiveCodeBench72.7
AIME90.3
HLE18.2
aa_scicode27.5
aa_lcr69.7
SWE-bench72.4
aa_terminal_bench_v244.2
aa_terminal_bench_v41.0
§ 03COMPATIBLE GPUs
30 @ Q4_K_M