metadata

base_model: distilbert/distilgpt2
datasets:
  - openwebtext
language: en
license: apache-2.0
tags:
  - exbert
  - llama-cpp
  - gguf-my-repo
co2_eq_emissions: 149200
model-index:
  - name: distilgpt2
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: WikiText-103
          type: wikitext
        metrics:
          - type: perplexity
            value: 21.1
            name: Perplexity

PaoloRosa/distilgpt2-Q4_K_S-GGUF

This model was converted to GGUF format from distilbert/distilgpt2 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 PaoloRosa/distilgpt2-Q4_K_S-GGUF --hf-file distilgpt2-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo PaoloRosa/distilgpt2-Q4_K_S-GGUF --hf-file distilgpt2-q4_k_s.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 PaoloRosa/distilgpt2-Q4_K_S-GGUF --hf-file distilgpt2-q4_k_s.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo PaoloRosa/distilgpt2-Q4_K_S-GGUF --hf-file distilgpt2-q4_k_s.gguf -c 2048