Instructions to use sleepy186247/deepseek-coder-33b-instruct-mlx-4Bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use sleepy186247/deepseek-coder-33b-instruct-mlx-4Bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir deepseek-coder-33b-instruct-mlx-4Bit sleepy186247/deepseek-coder-33b-instruct-mlx-4Bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
File size: 893 Bytes
53505fc | 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 37 38 | {
"architectures": [
"LlamaForCausalLM"
],
"bos_token_id": 32013,
"eos_token_id": 32021,
"hidden_act": "silu",
"hidden_size": 7168,
"initializer_range": 0.02,
"intermediate_size": 19200,
"max_position_embeddings": 16384,
"model_type": "llama",
"num_attention_heads": 56,
"num_hidden_layers": 62,
"num_key_value_heads": 8,
"pretraining_tp": 1,
"quantization": {
"group_size": 64,
"bits": 4,
"mode": "affine"
},
"quantization_config": {
"group_size": 64,
"bits": 4,
"mode": "affine"
},
"rms_norm_eps": 1e-06,
"rope_scaling": {
"factor": 4.0,
"type": "linear"
},
"rope_theta": 100000,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.33.1",
"use_cache": true,
"vocab_size": 32256
} |