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sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF overview

sasa2000/cosmos reason2 2b text only Q8 0 GGUF This model was converted to GGUF format from sasa2000/cosmos reason2 2b text only https://huggingface.co/sasa200…

transformersggufsafetensorsqwen3cosmosnvidiatext-generationtext-onlyllama-cppgguf-my-repobase_model:sasa2000/cosmos-reason2-2b-text-onlybase_model:quantized:sasa2000/cosmos-reason2-2b-text-onlylicense:otherendpoints_compatibleregion:usconversational

Runs locally from ~2.02 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Model Details

Model IDsasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF
Authorsasa2000
Pipelinetext-generation
Licenseother
Base modelsasa2000/cosmos-reason2-2b-text-only
Last modified2026-06-29T06:23:54.000Z

Model README

---

license: other

license_name: nvidia-open-model-license

license_link: https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license

library_name: transformers

pipeline_tag: text-generation

base_model: sasa2000/cosmos-reason2-2b-text-only

tags:

  • transformers
  • safetensors
  • qwen3
  • cosmos
  • nvidia
  • text-generation
  • text-only
  • llama-cpp
  • gguf-my-repo

---

sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF

This model was converted to GGUF format from sasa2000/cosmos-reason2-2b-text-only 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 sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF --hf-file cosmos-reason2-2b-text-only-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF --hf-file cosmos-reason2-2b-text-only-q8_0.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 sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF --hf-file cosmos-reason2-2b-text-only-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF --hf-file cosmos-reason2-2b-text-only-q8_0.gguf -c 2048

Run sasa2000/cosmos-reason2-2b-text-only-Q8_0-GGUF with guIDE

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