Text Generation
Shadow
English
small-language-model
cpu
retrieval
memory-on-disk
ternary
offline
edge
Instructions to use QLNI/shadow-50m-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Shadow
How to use QLNI/shadow-50m-instruct with Shadow:
# 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: 789 Bytes
c9ed2a4 | 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 26 27 28 | {
"model_type": "shadow",
"architectures": ["SHADOW50MInstruct"],
"model_name": "SHADOW 50M Instruct",
"version": "1.1",
"num_parameters": 44100000,
"hidden_size": 896,
"num_hidden_layers": 6,
"num_attention_heads": 14,
"num_key_value_heads": 2,
"head_dim": 64,
"intermediate_size": 2464,
"hidden_act": "silu",
"vocab_size": 73880,
"vocab_code_bits": 512,
"vocab_trainable": false,
"weight_format": "ternary",
"bits_per_weight": 1.58,
"max_position_embeddings": 8192,
"archive_max_tokens": 100000000,
"archive_bytes_per_token": 288,
"deployment_file": "shadow50_instruct.shdw",
"deployment_bytes": 19799680,
"runtime": "shadow50 kernel, C, AVX2 FMA F16C, CPU",
"license": "mit",
"homepage": "https://github.com/QLNI/SHADOW-50M-Instruct"
}
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