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Hob-forge/BAR-5x7B-GGUF
BAR-5x7B-GGUF is a text generation model from Hob-forge. Use it when you need the model to write or continue text. It is set up for gguf. The card lists the license as apache-2.0.
This is the first GGUF conversion of allenai/BAR-5x7B, the largest member of AllenAI's BAR-family Mixture-of-Experts models released on 2026-04-19 based on the new FlexOlmo architecture.
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From the Hugging Face model README
This is the first GGUF conversion of allenai/BAR-5x7B, the largest member of AllenAI's BAR-family Mixture-of-Experts models released on 2026-04-19 based on the new FlexOlmo architecture.
5 experts × 7B → ~33B total parameters with top-k routing.
Upstream llama.cpp does not support the FlexOlmo architecture: the support PR
ggml-org/llama.cpp#22540 was closed unmerged on 2026-04-30.
Use hob-llama.cpp, our llama.cpp build that adds FlexOlmo on a current upstream base:
hob-b11434: Linux (CPU x64/arm64, CUDA 12.8, ROCm, Vulkan), Windows (CPU
x64/arm64, CUDA 12.4/13.4, ROCm, Vulkan) and macOS (Intel x64), with SHA256SUMS.txt.git clone https://github.com/Seraphiel102/llama.cpp.git
cd llama.cpp
git checkout hob-b11434
cmake -B build -DGGML_CUDA=OFF # or -DGGML_CUDA=ON etc. for your GPU
cmake --build build -j --target llama-cli llama-completion llama-server
Per transformers.models.flex_olmo, FlexOlmoDecoderLayer is Olmo2's hybrid post-norm decoder layer with the dense FFN swapped for OlmoE-style top-k MoE routing. Specifically:
post_attention_layernorm and post_feedforward_layernorm (post-norm pattern, no input_layernorm)| Quant | Size | Notes |
|---|---|---|
BAR-5x7B.Q4_K_M.gguf | 14 GB | recommended, fits 16GB VRAM at small context |
| (more quants pending) |
./build/bin/llama-completion \
-m BAR-5x7B.Q4_K_M.gguf \
-p "The 5 experts in BAR-5x7B are " \
-n 100
The Q4_K_M conversion was validated against the April FlexOlmo build using a basic arithmetic prompt and produces correct, coherent output. BAR-5x7B itself has not yet been re-run on b11434; the FlexOlmo graph there was verified equivalent to the April build (a tiny random FlexOlmo model, plus BAR-2x7B Q4_K_M with byte-identical output).
allenai/BAR-5x7Bconvert_hf_to_gguf.py patch