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hob-llama.cpp b11434 — Kolibri-1 + FlexOlmo ready-to-run builds

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@Seraphiel102 Seraphiel102 released this 06 Oct 16:01
· 4 commits to hob since this release

hob-llama.cpp b11434: upstream llama.cpp (2026-10-05, c06f841) + Hob-forge's model ports, prebuilt.

Use this build to run Hob-forge GGUFs whose architectures aren't in upstream llama.cpp yet:

Everything else upstream llama.cpp supports works as normal.

Which file?

You have Download
Windows, NVIDIA GPU win-cuda-12.4-x64 (older drivers) or win-cuda-13.4-x64 (newest drivers). Needs the NVIDIA CUDA runtime DLLs installed (CUDA Toolkit, or the cudart zip from an upstream llama.cpp release).
Windows, AMD GPU win-rocm-10.0-x64
Windows, any GPU (AMD, Intel, NVIDIA) win-vulkan-x64
Windows, CPU only win-cpu-x64 (or win-cpu-arm64 for ARM laptops)
Linux bin-ubuntu-x64 (CPU), bin-ubuntu-cuda-12.8-x64 (+ cudart-... if you don't have CUDA 12.8), bin-ubuntu-vulkan-x64, bin-ubuntu-rocm-10.0-x64, bin-ubuntu-arm64
Mac (Intel) bin-macos-x64
Apple apps xcframework

Quick start (Kolibri-1, CPU):

llama-server -m Kolibri-1-Q4_K_M.gguf -c 32768 --jinja --temp 1.0 --top-p 0.97 --top-k 128

Then open http://127.0.0.1:8080. The architecture supports up to 262,144 tokens of context (-c 262144).

What's in it. The patches are on branch hob; see PORTING.md there.

  • Kolibri-1, 4 commits: SIGMOID_LOGIT_ADD expert gating, converter, model graph, arch tests.
    Verified against Aleph Alpha's reference: Q8_0 matches 67/67 top-1 tokens.
  • FlexOlmo, 1 commit. Matches the earlier April build byte-for-byte on a 32-token greedy test.
  • 135/135 test-llama-archs pass.
  • CI fork note: the s390x build was dropped because its runner only exists upstream.

Not done here: no Apple-silicon (Metal) macOS binary in this release; build from source on M-series Macs.

Licence: llama.cpp is MIT (see LICENSE-llama.cpp-MIT in each archive). Our patches are MIT too. This is an independent build, not made or endorsed by the llama.cpp project.

SHA256SUMS.txt lists checksums for every file.