Instructions to use vkrishnan569/tinyllama_4Q with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vkrishnan569/tinyllama_4Q with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vkrishnan569/tinyllama_4Q", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use vkrishnan569/tinyllama_4Q with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for vkrishnan569/tinyllama_4Q to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for vkrishnan569/tinyllama_4Q to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for vkrishnan569/tinyllama_4Q to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="vkrishnan569/tinyllama_4Q", max_seq_length=2048, )
Krishnan Palanisami commited on
(Trained with Unsloth)
Browse files- config.json +2 -32
config.json
CHANGED
|
@@ -1,33 +1,3 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
"LlamaForCausalLM"
|
| 5 |
-
],
|
| 6 |
-
"attention_bias": false,
|
| 7 |
-
"attention_dropout": 0.0,
|
| 8 |
-
"bos_token_id": 1,
|
| 9 |
-
"eos_token_id": 2,
|
| 10 |
-
"hidden_act": "silu",
|
| 11 |
-
"hidden_size": 2048,
|
| 12 |
-
"initializer_range": 0.02,
|
| 13 |
-
"intermediate_size": 5632,
|
| 14 |
-
"max_position_embeddings": 4096,
|
| 15 |
-
"model_type": "llama",
|
| 16 |
-
"num_attention_heads": 32,
|
| 17 |
-
"num_hidden_layers": 22,
|
| 18 |
-
"num_key_value_heads": 4,
|
| 19 |
-
"pad_token_id": 0,
|
| 20 |
-
"pretraining_tp": 1,
|
| 21 |
-
"rms_norm_eps": 1e-05,
|
| 22 |
-
"rope_scaling": {
|
| 23 |
-
"factor": 2.0,
|
| 24 |
-
"type": "linear"
|
| 25 |
-
},
|
| 26 |
-
"rope_theta": 10000.0,
|
| 27 |
-
"tie_word_embeddings": false,
|
| 28 |
-
"torch_dtype": "float16",
|
| 29 |
-
"transformers_version": "4.40.1",
|
| 30 |
-
"unsloth_version": "2024.4",
|
| 31 |
-
"use_cache": true,
|
| 32 |
-
"vocab_size": 32000
|
| 33 |
-
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_type": "llama"
|
| 3 |
+
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|