README.md

metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - merge
  - model-merging
  - mergekit
  - lazymergekit
  - qwen3
  - 4b
  - text-generation
  - causal-lm
  - llama-cpp
  - gguf-my-repo
datasets:
  - Idavidrein/gpqa
metrics:
  - accuracy
base_model: ParrotRouter/Qwen3-4B-Instruct-2507-20250808-233922-0
base_model_relation: merge
model-index:
  - name: qwen3-4b-merged---configuration-1
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (Massive Multitask Language Understanding)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: accuracy
            value: 72.51
            name: MMLU (5-shot)
            verified: false
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (Graduate-level Physics Q&A)
          type: Idavidrein/gpqa
          config: gpqa_diamond
          split: test
          args:
            num_few_shot: 0
        metrics:
          - type: accuracy
            value: 45.45
            name: GPQA Diamond (0-shot)
            verified: false

parrotrouter/Qwen3-4B-Instruct-2507-20250808-233922-0-Q8_0-GGUF

This model was converted to GGUF format from ParrotRouter/Qwen3-4B-Instruct-2507-20250808-233922-0 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 ParrotRouter/Qwen3-4B-Instruct-2507-20250808-233922-0-Q8_0-GGUF --hf-file qwen3-4b-instruct-2507-20250808-233922-0-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo ParrotRouter/Qwen3-4B-Instruct-2507-20250808-233922-0-Q8_0-GGUF --hf-file qwen3-4b-instruct-2507-20250808-233922-0-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 ParrotRouter/Qwen3-4B-Instruct-2507-20250808-233922-0-Q8_0-GGUF --hf-file qwen3-4b-instruct-2507-20250808-233922-0-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo ParrotRouter/Qwen3-4B-Instruct-2507-20250808-233922-0-Q8_0-GGUF --hf-file qwen3-4b-instruct-2507-20250808-233922-0-q8_0.gguf -c 2048