Text Classification
MLX
Safetensors
English
qwen2
sifta
alice
classifier
intent-detection
apple-silicon
lora
fine-tuned
organism
stigmergy
4-bit precision
Instructions to use georgeanton/alice-classifier-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use georgeanton/alice-classifier-v2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir alice-classifier-v2 georgeanton/alice-classifier-v2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 888 Bytes
93685ae | 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 29 30 31 32 33 34 35 36 | {
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151643,
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 8960,
"max_position_embeddings": 32768,
"max_window_layers": 28,
"model_type": "qwen2",
"num_attention_heads": 12,
"num_hidden_layers": 28,
"num_key_value_heads": 2,
"quantization": {
"group_size": 64,
"bits": 4
},
"quantization_config": {
"group_size": 64,
"bits": 4
},
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 32768,
"tie_word_embeddings": true,
"torch_dtype": "bfloat16",
"transformers_version": "4.40.1",
"use_cache": true,
"use_mrope": false,
"use_sliding_window": false,
"vocab_size": 151936
} |