Text Generation
TensorRT
Safetensors
PyTorch
English
llama
code
developer-agent
blackwell
rtx-5070
slm
conversational
Instructions to use Vivid86/MiniTransformer-91M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use Vivid86/MiniTransformer-91M with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 599 Bytes
30f5cdc 8478786 30f5cdc 0540bca 30f5cdc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"architectures": [
"LlamaForCausalLM"
],
"bos_token_id": 2,
"eos_token_id": 3,
"pad_token_id": 0,
"hidden_act": "silu",
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 2048,
"max_position_embeddings": 1024,
"model_type": "llama",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"num_key_value_heads": 12,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 10000.0,
"tie_word_embeddings": true,
"torch_dtype": "float16",
"transformers_version": "4.45.0",
"use_cache": true,
"vocab_size": 8192
} |