talkie 1930 13b it (Transformers format) This is a conversion of talkie lm/talkie 1930 13b it to the HuggingFace Transformers format. The original model was distributed as a raw PyTorch checkpoint with a custom inference library; this version can be loaded directly with AutoModelForCausalLM and AutoTokenizer . The weights are numerically identical to the original — top 5 decoded tokens match across all test prompts, with max logit differences below 0.07 (bf16 rounding). [!NOTE] This model was converted automatically by Hugging Face's ML Intern — an AI agent for ML engineering tasks. Try it yourself via the CLI or the Demo. Table of Contents 1. Model Summary 2. How to Use 3. Architecture Details 4. Conversion Notes 5. License Model Summary talkie 1930 13b it is a 13B parameter instruction tuned language model from the talkie family, developed by Alec Radford, Nick Levine, and David Duvenaud. It was pretrained on 260B tokens of pre 1931 English language text and instruction tuned using a novel dataset extracted from vintage reference works — etiquette manuals, encyclopedias, letter writing guides, and poetry collections. The model underwent reinforcement learning via online DPO with…
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