Talkie 1930 13B IT MLX q4

Unofficial community MLX q4 release of lewtun/talkie-1930-13b-it-hf, prepared for local Apple Silicon inference with Talkie Cabinet.

This is not an official Talkie release. It is a Mac-oriented companion to the browser/WebGPU ONNX release: scasella91/talkie-1930-13b-it-ONNX.

Credit To Talkie

This repo packages talkie-1930-13b-it, a 13B-parameter instruction-tuned language model from the talkie family developed by Alec Radford, Nick Levine, and David Duvenaud. Talkie was pretrained on 260B tokens of pre-1931 English-language text and instruction-tuned with a dataset extracted from vintage reference works, including etiquette manuals, encyclopedias, letter-writing guides, and poetry collections. The instruction model also used reinforcement learning via online DPO with an LLM-as-a-judge to improve instruction following.

Read more in the Talkie report.

Files

The repo contains the MLX model shards plus the tokenizer/config/chat-template files needed by Talkie Cabinet:

  • model-00001-of-00002.safetensors
  • model-00002-of-00002.safetensors
  • model.safetensors.index.json
  • config.json
  • generation_config.json
  • tokenizer.json
  • tokenizer_config.json
  • chat_template.jinja
  • talkie_mlx.py

Validation Notes

The published q4-safe candidate keeps the language-model head and attention value projections in BF16. It uses more memory than the smaller q4 experiment, but avoids the short-prompt collapse observed in that smaller artifact.

Observed on a MacBook Pro with M4 Pro and 24 GB unified memory:

  • On-disk model directory: about 8.8 GB.
  • App-reported peak memory: about 9.7 GB.
  • Typical short-turn decode after load: roughly 20-25 tok/s.
  • Local load after setup: about 3 seconds.

Use With Talkie Cabinet

git clone https://github.com/scasella/talkie-mlx-macos.git
cd talkie-mlx-macos
./scripts/download_model.sh
./scripts/run_app.sh

The setup script downloads this repo to:

~/Library/Application Support/Talkie Cabinet/Models/talkie-1930-13b-it-MLX-q4

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