CanRun

K2-Horizon 7B hardware requirements

Open license · Apache-2.0ChatCodingReasoning

What is K2-Horizon 7B?

K2-Horizon 7B is the mid-sized dense model of the K2-Horizon family, which IFM (Institute of Foundation Models) released in September 2026. Its card calls it a 7B-core model, though the full weights come to about 9B parameters, and reports agentic, coding, long-context and reasoning benchmarks. Thinking is always on, with reasoning_effort setting its depth. The native context is 524,288 tokens, and the Apache 2.0 license allows commercial use.

Model card

About the model

Parameters
9B
Attention
Full attention
Max context
524,288 tokens
Released
2026-09-01

Other sizes in this series

Graphics card memory each model needs at its baseline quant with 8k context, and its verdict on common graphics cards, smallest model first
ModelParametersBaseline quantMemory needed (8k)GeForce RTX 4060GeForce RTX 5060 Ti 16GBGeForce RTX 3090
K2-Horizon 7Bthis model9BQ4_K_M6.8 GBRuns wellRuns greatRuns great
K2-Horizon MoVA 36B-A4B37.44B total · 4B active (MoE)Q4_K_M24.2 GBRuns slowlyRuns wellRuns well

GGUF files

Tracked quantizations of K2-Horizon 7B, smallest first
QuantFile sizeQualityPublished by
Q4_K_Mbaseline5.59 GBGood balanceOfficial GGUF · IFM
Q8_09.57 GBNear-losslessOfficial GGUF · IFM

Memory needed by quant and context

Graphics card memory in GB: weights loaded on the GPU + f16 KV cache + compute buffer. Add about 0.6 GB if the GPU also drives your display on Windows. Part of the file stays off the graphics card: llama.cpp keeps the input embedding table in system RAM. A Mac counts the whole file, so it needs a little more.
Quant4k8k16k32k64k128k256k
Q4_K_M6.16.88.110.615.826.046.6
Q8_09.610.311.514.119.229.550.0

Which GPUs can run K2-Horizon 7B?

How to read the verdicts

Runs great
Fully on the GPU at 20 tok/s or more
Runs well
Fully on the GPU at 8–20 tok/s; MoE experts in system RAM at 20 tok/s or more; or at least 90% on the GPU at 8 tok/s or more
Runs slowly
2–8 tok/s; CPU-only; less than 90% on the GPU; or MoE experts in system RAM below 20 tok/s
Won't run
Does not fit, or under 2 tok/s

Filter this list by budget, type and context in the calculator

Scroll sideways to see every column.

56 GPUs, Macs and CPU setups at Q4_K_M with 8k context, sorted by verdict and speed
HardwareVerdictSpeedQuantMemoryRuns asContextNotesPrice
GeForce RTX 5090
Runs great
est. 184.5 tok/s162.4–206.7calibrated estimate ±12%
Q4_K_M7.4 / 32.0 GBFull GPUup to 128k—$4,200 street (as of 2026-08-09)
Radeon RX 7900 XTX
Runs great
est. 107.3 tok/s94.4–120.2calibrated estimate ±12%
Q4_K_M7.4 / 24.0 GBFull GPUup to 64k—$999 launch MSRP
GeForce RTX 3090 Ti
Runs great
est. 103.8 tok/s91.3–116.3calibrated estimate ±12%
Q4_K_M7.4 / 24.0 GBFull GPUup to 64k—$1,999 launch MSRP
GeForce RTX 4090
Runs great
est. 103.8 tok/s91.3–116.3calibrated estimate ±12%
Q4_K_M7.4 / 24.0 GBFull GPUup to 64k—$2,755 street (as of 2026-08-09)
Apple M5 Ultra · 96 GB
Runs great
est. 103.0 tok/s82.4–123.6calibrated estimate ±20%
Q4_K_M7.4 / 67.2 GBUnified memoryup to 64k——
GeForce RTX 5080
Runs great
est. 98.9 tok/s87.0–110.7calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$1,256 street (as of 2026-08-09)
GeForce RTX 3090
Runs great
est. 96.4 tok/s84.8–107.9calibrated estimate ±12%
Q4_K_M7.4 / 24.0 GBFull GPUup to 64k—$1,050 street (as of 2026-08-09)
GeForce RTX 3080 12GB
Runs great
est. 93.9 tok/s82.6–105.2calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 32k—$799 launch MSRP
GeForce RTX 5070 Ti
Runs great
est. 92.3 tok/s81.2–103.3calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$949 street (as of 2026-08-09)
GeForce RTX 5080 Laptop
Runs great
est. 92.3 tok/s81.2–103.3calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k——
GeForce RTX 5090 Laptop
Runs great
est. 92.3 tok/s81.2–103.3calibrated estimate ±12%
Q4_K_M7.4 / 24.0 GBFull GPUup to 64k——
Radeon RX 7900 XT
Runs great
est. 89.4 tok/s78.7–100.2calibrated estimate ±12%
Q4_K_M7.4 / 20.0 GBFull GPUup to 64k—$899 launch MSRP
GeForce RTX 3080 10GB
Runs great
est. 78.3 tok/s68.9–87.6calibrated estimate ±12%
Q4_K_M7.4 / 10.0 GBFull GPUup to 16k—$699 launch MSRP
GeForce RTX 4080 Super
Runs great
est. 75.8 tok/s66.7–84.9calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$999 launch MSRP
GeForce RTX 4080
Runs great
est. 73.8 tok/s65.0–82.7calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$1,199 launch MSRP
Radeon RX 9070
Runs great
est. 72.1 tok/s63.5–80.8calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$639 street (as of 2026-08-09)
Radeon RX 9070 XT
Runs great
est. 72.1 tok/s63.5–80.8calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$689 street (as of 2026-08-09)
Radeon RX 7800 XT
Runs great
est. 69.8 tok/s61.4–78.1calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$499 launch MSRP
GeForce RTX 4070 Ti Super
Runs great
est. 69.2 tok/s60.9–77.5calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$799 launch MSRP
GeForce RTX 5070
Runs great
est. 69.2 tok/s60.9–77.5calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 32k—$629 street (as of 2026-08-09)
GeForce RTX 5070 Ti Laptop
Runs great
est. 69.2 tok/s60.9–77.5calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 32k——
Apple M3 Ultra · 96 GB
Runs great
est. 68.7 tok/s54.9–82.4calibrated estimate ±20%
Q4_K_M7.4 / 67.2 GBUnified memoryup to 64k——
Apple M5 Max (40-core GPU) · 48 GB
Runs great
est. 68.6 tok/s54.9–82.4calibrated estimate ±20%
Q4_K_M7.4 / 33.6 GBUnified memoryup to 64k——
Apple M2 Ultra · 64 GB
Runs great
est. 67.1 tok/s53.7–80.5calibrated estimate ±20%
Q4_K_M7.4 / 44.8 GBUnified memoryup to 32k——
GeForce RTX 2080 Ti
Runs great
est. 63.4 tok/s55.8–71.0calibrated estimate ±12%
Q4_K_M7.4 / 11.0 GBFull GPUup to 16k—$999 launch MSRP
Apple M4 Max (40-core GPU) · 48 GB
Runs great
est. 61.0 tok/s48.8–73.3calibrated estimate ±20%
Q4_K_M7.4 / 33.6 GBUnified memoryup to 32k——
GeForce RTX 4090 Laptop
Runs great
est. 59.3 tok/s52.2–66.4calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k——
GeForce RTX 4070
Runs great
est. 51.9 tok/s45.7–58.1calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 32k—$599 launch MSRP
GeForce RTX 4070 Super
Runs great
est. 51.9 tok/s45.7–58.1calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 32k—$599 launch MSRP
Apple M5 Max (32-core GPU) · 36 GB
Runs great
est. 51.4 tok/s41.1–61.7calibrated estimate ±20%
Q4_K_M7.4 / 25.2 GBUnified memoryup to 32k——
GeForce GTX 1080 Ti
Runs great
est. 49.8 tok/s34.9–64.8theoretical estimate ±30%
Q4_K_M7.4 / 11.0 GBFull GPUup to 16k—$699 launch MSRP
GeForce RTX 3070
Runs great
est. 46.1 tok/s40.6–51.7calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k—$499 launch MSRP
GeForce RTX 5060
Runs great
est. 46.1 tok/s40.6–51.7calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k—$339 street (as of 2026-08-09)
GeForce RTX 5060 Ti 16GB
Runs great
est. 46.1 tok/s40.6–51.7calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$569 street (as of 2026-08-09)
GeForce RTX 5060 Ti 8GB
Runs great
est. 46.1 tok/s40.6–51.7calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k—$429 street (as of 2026-08-09)
Apple M4 Max (32-core GPU) · 36 GB
Runs great
est. 45.8 tok/s36.7–55.0calibrated estimate ±20%
Q4_K_M7.4 / 25.2 GBUnified memoryup to 16k——
GeForce RTX 4080 Laptop
Runs great
est. 44.5 tok/s39.1–49.8calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 16k——
Intel Arc B580
Runs great
est. 39.6 tok/s31.7–47.5calibrated estimate ±20%
Q4_K_M7.4 / 12.0 GBFull GPUup to 16k—$290 street (as of 2026-08-09)
GeForce RTX 3060 12GB
Runs great
est. 37.1 tok/s32.6–41.5calibrated estimate ±12%
Q4_K_M7.4 / 12.0 GBFull GPUup to 16k—$250 street (as of 2026-08-09)
Radeon RX 9060 XT 16GB
Runs great
est. 36.0 tok/s31.7–40.3calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 16k—$449 street (as of 2026-08-09)
Apple M5 Pro · 24 GB
Runs great
est. 34.3 tok/s27.5–41.2calibrated estimate ±20%
Q4_K_M7.4 / 16.8 GBUnified memoryup to 8k——
NVIDIA DGX Spark · 64 GB
Runs great
est. 31.3 tok/s25.1–37.6calibrated estimate ±20%
Q4_K_M7.4 / 48.2 GBUnified memoryup to 8k—$3,999 launch MSRP (128 GB)
Ryzen AI Max+ 395 (Strix Halo) · 32 GB
Runs great
est. 30.9 tok/s24.7–37.1calibrated estimate ±20%
Q4_K_M7.4 / 22.4 GBUnified memoryup to 8k—$1,999 launch MSRP (128 GB)
Apple M4 Pro · 24 GB
Runs great
est. 30.5 tok/s24.4–36.6calibrated estimate ±20%
Q4_K_M7.4 / 16.8 GBUnified memoryup to 8k——
GeForce RTX 4060 Ti 16GB
Runs well
est. 29.7 tok/s26.1–33.2calibrated estimate ±12%
Q4_K_M7.4 / 16.0 GBFull GPUup to 32k—$499 launch MSRP
GeForce RTX 4060 Ti 8GB
Runs well
est. 29.7 tok/s26.1–33.2calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k—$399 launch MSRP
GeForce RTX 4060
Runs well
est. 28.0 tok/s24.6–31.4calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k—$299 launch MSRP
GeForce RTX 4060 Laptop
Runs well
est. 26.4 tok/s23.2–29.5calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k——
GeForce RTX 4070 Laptop
Runs well
est. 26.4 tok/s23.2–29.5calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k——
GeForce RTX 3050 8GB
Runs well
est. 23.1 tok/s20.3–25.8calibrated estimate ±12%
Q4_K_M7.4 / 8.0 GBFull GPUup to 8k—$249 launch MSRP
Apple M5 · 16 GB
Runs well
est. 17.2 tok/s13.7–20.6calibrated estimate ±20%
Q4_K_M7.4 / 11.2 GBUnified memoryup to 16k——
Apple M6 · 16 GB
Runs well
est. 17.2 tok/s13.7–20.6calibrated estimate ±20%
Q4_K_M7.4 / 11.2 GBUnified memoryup to 16k——
Apple M4 · 16 GB
Runs well
est. 13.4 tok/s10.7–16.1calibrated estimate ±20%
Q4_K_M7.4 / 11.2 GBUnified memoryup to 8k——
DDR5-6000 dual-channel CPU · 16 GB
Runs slowly
est. 7.1 tok/s5.6–8.5calibrated estimate ±20%
Q4_K_M6.8 GB RAMCPU onlyup to 32k——
DDR5-5600 dual-channel CPU · 16 GB
Runs slowly
est. 6.6 tok/s5.3–7.9calibrated estimate ±20%
Q4_K_M6.8 GB RAMCPU onlyup to 32k——
DDR4-3200 dual-channel CPU · 16 GB
Runs slowly
est. 3.8 tok/s3.0–4.5calibrated estimate ±20%
Q4_K_M6.8 GB RAMCPU onlyup to 16k——

Models with a thinking mode spend extra tokens thinking, so their speed thresholds are 1.5× stricter (30 / 12 / 3 tok/s). With thinking turned off, a model may do one grade better.

Cheapest GPUs that run it

  • Runs greatGeForce RTX 3060 12GB$250 street (as of 2026-08-09), est. 37.1 tok/s (32.6–41.5, calibrated estimate ±12%).

Measured results for K2-Horizon 7B

No public measurements for this model yet.

Frequently asked questions

How much VRAM does K2-Horizon 7B need?

At Q4_K_M the file is 5.59 GB; with 8k context a graphics card needs about 6.8 GB (weights 5.00 GB, KV cache 1.2 GB, compute buffer 0.6 GB). Part of the file stays off the graphics card: llama.cpp keeps the input embedding table in system RAM. A Mac counts the whole file, so it needs a little more.

What is the cheapest GPU that runs K2-Horizon 7B well?

Cheapest that runs it great: GeForce RTX 3060 12GB at $250 (street price as of 2026-08-09), est. 37.1 tok/s (32.6–41.5, calibrated estimate ±12%).

Can K2-Horizon 7B run on an 8 GB, 16 GB or 24 GB GPU?

At Q4_K_M with 8k context: GeForce RTX 4060 — Runs well, est. 28.0 tok/s (24.6–31.4, calibrated estimate ±12%); GeForce RTX 5060 Ti 16GB — Runs great, est. 46.1 tok/s (40.6–51.7, calibrated estimate ±12%); GeForce RTX 3090 — Runs great, est. 96.4 tok/s (84.8–107.9, calibrated estimate ±12%).

Speeds are estimates from memory bandwidth, calibrated against public benchmarks, and each one comes with an error band and a confidence label. Real results vary with drivers, backend, context length and thermals.