abenzerps/Holo4-35B-A3B-GGUF

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🤗 Hugging Face sourceimage-text-to-textapache-2.03B activated132 GBGGUF✓ 8 checksumsupdated today
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Holo4-35B-A3B GGUF

GGUF quantizations of Hcompany/Holo4-35B-A3B, a 35B mixture-of-experts (MoE, 3B active) vision-language model (VLM) for Computer Use, tool-driven work, and agentic workflows.

For image input, use the included F16 vision projector (mmproj-Holo4-35B-A3B-f16.gguf).

Upstream benchmarks

Results reported by H Company from evaluations of the original Holo4-35B-A3B model across computer tasks, long workflows, and tool servers.

GGUF files

Quantization File Size Notes
Q4_0 Holo4-35B-A3B-Q4_0.gguf 18.4 GB Standard Q4 0-quant
Q4_K_M Holo4-35B-A3B-Q4_K_M.gguf 19.7 GB Recommended balanced default
Q5_K_M Holo4-35B-A3B-Q5_K_M.gguf 23.0 GB Higher-quality Q5 option
Q6_K Holo4-35B-A3B-Q6_K.gguf 26.6 GB High-quality option
Q8_0 Holo4-35B-A3B-Q8_0.gguf 34.4 GB Near-lossless reference quantization
Vision projector mmproj-Holo4-35B-A3B-f16.gguf 858 MB Required for image input

Usage

Use a current llama.cpp build with the included chat template.

llama-cli \
  -m Holo4-35B-A3B-Q4_K_M.gguf \
  -c 4096 -n 512 --temp 0.7 --top-p 0.8 \
  --jinja --chat-template-file chat_template.jinja \
  -p "<|im_start|>user\nWhat is computer use in AI?<|im_end|>\n<|im_start|>assistant\n"

For multimodal / image input:

llama-mtmd-cli \
  -m Holo4-35B-A3B-Q4_K_M.gguf \
  -mm mmproj-Holo4-35B-A3B-f16.gguf \
  --image screenshot.png \
  -p "Describe the interface in this screenshot."

Source