|
Download README.md from AxomLabs/axom-x1-ultra: direct link, hf CLI and curl.
- Browser
- Download file 916 Bytes
-
https://huggingface.co/AxomLabs/axom-x1-ultra/resolve/main/README.md
- Command line
-
hf download hf://AxomLabs/axom-x1-ultra/README.md
-
curl -L -o README.md https://huggingface.co/AxomLabs/axom-x1-ultra/resolve/main/README.md
916 Bytes
metadata
license: apache-2.0
base_model: google/gemma-4-26B-A4B-it
tags:
- axom
- gguf
- llama.cpp
- lora
Axom X1-Ultra — X1-Ultra (26B MoE Q4)
Files an Axom install downloads for the X1-Ultra tier (axom init), mirrored here so no
Hugging Face gate stands between a user and the model. Gemma 4 is Apache 2.0.
| file | what | sha256 |
|---|---|---|
gemma-4-26B_q4_0-it.gguf |
chassis: the official Google QAT GGUF, unmodified | 3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d |
ops_26b_v1-lora-f16.gguf |
ops leaf (ops_26b_v1) | 54e0929e6fa77c2e8fb1b13257e4d00645731f9b73810d14f658862c82433fe1 |
The chassis is the official google/gemma-4-26B-A4B-it-qat-q4_0-gguf file, byte for byte. The leaf is an
attention-only LoRA pressed by Axom Labs on the QAT-unquantized base of the same file. Runtime and docs:
Axom-CLI. Install: curl -sSf https://get.axomlabs.ai/install.sh | sh.