Llama-3.2-1B-Instruct lineage
According to the model card, the model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct.
Open Source Model Profile · Grogros
Llama-3.2-1B-Instruct-activation-alpaca-3.0-AlpacaPoison-1e5 is a 1.24B-parameter Llama text-generation fine-tune from Grogros. According to the model card, it fine-tunes meta-llama/Llama-3.2-1B-Instruct.
Llama-3.2-1B-Instruct-activation-alpaca-3.0-AlpacaPoison-1e5 is published by Grogros as a Llama text-generation model. The captured configuration identifies LlamaForCausalLM with model type llama, and Safetensors metadata reports 1,235,814,400 parameters. According to the model card, it is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct, with card data recording llama3.2.
According to the model card, the model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct.
According to the model card, training used learning rate 2e-05, batch sizes 32 and 8, cosine scheduling with 0.1 warmup ratio, seed 42, and 2,000 training steps.
The captured configuration identifies LlamaForCausalLM with model type llama and Transformers support, with about 1.24B Safetensors parameters.
Source: Grogros/Llama-3.2-1B-Instruct-activation-alpaca-3.0-AlpacaPoison-1e5
Captured: Unknown. Processed: 2026-09-07T19:35:05.675405+00:00.
Llama-3.2-1B-Instruct-activation-alpaca-3.0-AlpacaPoison-1e5 This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the None dataset. Model description More information needed Intended uses & limitations More information needed Training and evaluation data More information needed Training procedure Training hyperparameters The following hyperparameters were used during training: learning_rate: 2e-05 train_batch_size: 32 eval_batch_size: 8 seed: 42 optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments lr_scheduler_type: cosine lr_scheduler_warmup_ratio: 0.1 training_steps: 2000…
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