Instructions to use mst98/research-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use mst98/research-small with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('text-generation', 'mst98/research-small');
Download config.json from mst98/research-small: direct link, hf CLI and curl.
- Browser
- Download file 850 Bytes
-
https://huggingface.co/mst98/research-small/resolve/6812cd6595252f1b4935b55ae26376bd26713e88/config.json
- Command line
-
hf download hf://mst98/research-small@6812cd6595252f1b4935b55ae26376bd26713e88/config.json
-
curl -L -o config.json https://huggingface.co/mst98/research-small/resolve/6812cd6595252f1b4935b55ae26376bd26713e88/config.json
850 Bytes
| { | |
| "_name_or_path": "nltpt/Llama-3.2-1B", | |
| "architectures": [ | |
| "LlamaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128001, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 8192, | |
| "max_position_embeddings": 131072, | |
| "mlp_bias": false, | |
| "model_type": "llama", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 16, | |
| "num_key_value_heads": 8, | |
| "pretraining_tp": 1, | |
| "rms_norm_eps": 1e-05, | |
| "rope_scaling": { | |
| "factor": 32.0, | |
| "high_freq_factor": 4.0, | |
| "low_freq_factor": 1.0, | |
| "original_max_position_embeddings": 8192, | |
| "rope_type": "llama3" | |
| }, | |
| "rope_theta": 500000.0, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "4.43.4", | |
| "use_cache": true, | |
| "vocab_size": 128256 | |
| } | |