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nordet/aya-expanse-8b-Q4_K_M-GGUF overview

nordet/aya expanse 8b Q4 K M GGUF This model was converted to GGUF format from CohereLabs/aya expanse 8b https://huggingface.co/CohereLabs/aya expanse 8b using…

transformersggufllama-cppgguf-my-repoenfrdeesitptjakozharelfaplidcshehinlroru

Runs locally from ~4.71 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Model Details

Model IDnordet/aya-expanse-8b-Q4_K_M-GGUF
Authornordet
Pipeline
Licensecc-by-nc-4.0
Base modelCohereLabs/aya-expanse-8b
Last modified2026-07-26T11:01:01.000Z

Model README

---

inference: false

library_name: transformers

language:

  • en
  • fr
  • de
  • es
  • it
  • pt
  • ja
  • ko
  • zh
  • ar
  • el
  • fa
  • pl
  • id
  • cs
  • he
  • hi
  • nl
  • ro
  • ru
  • tr
  • uk
  • vi

license: cc-by-nc-4.0

extra_gated_prompt: By submitting this form, you agree to the License Agreement and

acknowledge that the information you provide will be collected, used, and shared

in accordance with Cohere’s Privacy Policy. You’ll

receive email updates about Cohere Labs and Cohere research, events, products and

services. You can unsubscribe at any time.

extra_gated_fields:

Name: text

Affiliation: text

Country: country

I agree to use this model for non-commercial use ONLY: checkbox

base_model: CohereLabs/aya-expanse-8b

tags:

  • llama-cpp
  • gguf-my-repo

---

nordet/aya-expanse-8b-Q4_K_M-GGUF

This model was converted to GGUF format from CohereLabs/aya-expanse-8b using llama.cpp via the ggml.ai's GGUF-my-repo space.

Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo nordet/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo nordet/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo nordet/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo nordet/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -c 2048

Run nordet/aya-expanse-8b-Q4_K_M-GGUF with guIDE

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