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aclava/Darwin-9B-Opus-Q8_0-GGUF overview

aclava/Darwin 9B Opus Q8 0 GGUF This model was converted to GGUF format from FINAL Bench/Darwin 9B Opus https://huggingface.co/FINAL Bench/Darwin 9B Opus using…

transformersggufmergeevolutionary-mergedarwindarwin-v5model-mrireasoningadvanced-reasoningchain-of-thoughtthinkingqwen3.5qwenclaude-opusdistillationmultilingualbenchmarkopen-sourceapache-2.0layer-wise-mergecoding-agenttool-callinglong-contextllama-cpp

Runs locally from ~9.11 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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Model Details

Model IDaclava/Darwin-9B-Opus-Q8_0-GGUF
Authoraclava
Pipelinetext-generation
Licenseapache-2.0
Base modelFINAL-Bench/Darwin-9B-Opus
Last modified2026-08-28T11:07:49.000Z

Model README

---

license: apache-2.0

tags:

  • merge
  • evolutionary-merge
  • darwin
  • darwin-v5
  • model-mri
  • reasoning
  • advanced-reasoning
  • chain-of-thought
  • thinking
  • qwen3.5
  • qwen
  • claude-opus
  • distillation
  • multilingual
  • benchmark
  • open-source
  • apache-2.0
  • layer-wise-merge
  • coding-agent
  • tool-calling
  • long-context
  • llama-cpp
  • gguf-my-repo

language:

  • en
  • zh
  • ko
  • ja
  • de
  • fr
  • es
  • ru
  • ar
  • multilingual

pipeline_tag: text-generation

library_name: transformers

base_model: FINAL-Bench/Darwin-9B-Opus

model-index:

  • name: Darwin-9B-Opus

results:

- task:

type: question-answering

name: Question Answering

dataset:

name: GPQA Diamond

type: Idavidrein/gpqa

config: gpqa_diamond

metrics:

- type: accuracy

value: 82.5

name: Accuracy

---

aclava/Darwin-9B-Opus-Q8_0-GGUF

This model was converted to GGUF format from FINAL-Bench/Darwin-9B-Opus 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 aclava/Darwin-9B-Opus-Q8_0-GGUF --hf-file darwin-9b-opus-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo aclava/Darwin-9B-Opus-Q8_0-GGUF --hf-file darwin-9b-opus-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 aclava/Darwin-9B-Opus-Q8_0-GGUF --hf-file darwin-9b-opus-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo aclava/Darwin-9B-Opus-Q8_0-GGUF --hf-file darwin-9b-opus-q8_0.gguf -c 2048

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