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llama-300M-v2-fivegram
deqing/llama-300M-v2-fivegram
llama-300M-v2-fivegram is a text generation model from deqing. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- Feb 26, 2026
- SHA
- 5bfbf287
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
llama-300M-v2-fivegram
This model is a fine-tuned version of llama_small_config.json on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0549
- Num Input Tokens Seen: 9633792000
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
Training results
Framework versions
- Transformers 5.1.0
- Pytorch 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Feb 23, 2026
- Updated
- Feb 26, 2026