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gopi87/Grug-35B-A3B-Q8_0-GGUF overview

gopi87/Grug 35B A3B Q8 0 GGUF This model was converted to GGUF format from kai os/Grug 35B A3B https://huggingface.co/kai os/Grug 35B A3B using llama.cpp via t…

transformersggufsafetensorsfine-tunedqloraqwenqwen3.6moea3breasoningcompact-reasoningllama-cppgguf-my-repotext-generationdataset:hotdogs/uka-glm-5.2dataset:Scale-or-Reason/general-reasoning-ift-pairsdataset:samcheng0/lumia-reasoning-sft-v1dataset:HSH-Intelligence/verified-math-reasoning-3kdataset:kd13/CodeDebug-Instruct-v2-Reasoningdataset:Madarabr/cortex-adaptive-thinkingdataset:CL-From-Nothing/code_rose_initial_1_7B_SFT_10K_rollouts_Qwen3-4B-Thinking-2507_k12_t0.7_maxtok12288base_model:kai-os/Grug-35B-A3Bbase_model:finetune:kai-os/Grug-35B-A3Blicense:apache-2.0

Runs locally from ~34.37 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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1 GGUF files detected
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Model Details

Model IDgopi87/Grug-35B-A3B-Q8_0-GGUF
Authorgopi87
Pipelinetext-generation
Licenseapache-2.0
Base modelkai-os/Grug-35B-A3B
Last modified2026-07-05T09:07:45.000Z

Model README

---

base_model: kai-os/Grug-35B-A3B

base_model_relation: finetune

library_name: transformers

pipeline_tag: text-generation

license: apache-2.0

tags:

  • transformers
  • safetensors
  • fine-tuned
  • qlora
  • qwen
  • qwen3.6
  • moe
  • a3b
  • reasoning
  • compact-reasoning
  • llama-cpp
  • gguf-my-repo

datasets:

  • hotdogs/uka-glm-5.2
  • Scale-or-Reason/general-reasoning-ift-pairs
  • samcheng0/lumia-reasoning-sft-v1
  • HSH-Intelligence/verified-math-reasoning-3k
  • kd13/CodeDebug-Instruct-v2-Reasoning
  • Madarabr/cortex-adaptive-thinking
  • CL-From-Nothing/code_rose_initial_1_7B_SFT_10K_rollouts_Qwen3-4B-Thinking-2507_k12_t0.7_maxtok12288

model-index:

  • name: Grug-35B-A3B

results:

- task:

type: text-generation

name: Compact-reasoning smoke test

dataset:

name: Local compact reasoning smoke prompts

type: local

metrics:

- type: eval_loss

value: 1.0398826599121094

name: Final validation loss at step 100

---

gopi87/Grug-35B-A3B-Q8_0-GGUF

This model was converted to GGUF format from kai-os/Grug-35B-A3B 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 gopi87/Grug-35B-A3B-Q8_0-GGUF --hf-file grug-35b-a3b-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo gopi87/Grug-35B-A3B-Q8_0-GGUF --hf-file grug-35b-a3b-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 gopi87/Grug-35B-A3B-Q8_0-GGUF --hf-file grug-35b-a3b-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo gopi87/Grug-35B-A3B-Q8_0-GGUF --hf-file grug-35b-a3b-q8_0.gguf -c 2048

Run gopi87/Grug-35B-A3B-Q8_0-GGUF with guIDE

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