Transformers
Safetensors
vision-language
document-understanding
boundingdocs
bitsandbytes
8-bit precision
Instructions to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CompressingVLM/glm-ocr-boundingdocs-ft-bnb-int8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,177 Bytes
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"architectures": [
"GlmOcrForConditionalGeneration"
],
"dtype": "bfloat16",
"image_end_token_id": 59257,
"image_start_token_id": 59256,
"image_token_id": 59280,
"model_type": "glm_ocr",
"quantization_config": {
"_load_in_4bit": false,
"_load_in_8bit": true,
"bnb_4bit_compute_dtype": "float32",
"bnb_4bit_quant_storage": "uint8",
"bnb_4bit_quant_type": "fp4",
"bnb_4bit_use_double_quant": false,
"llm_int8_enable_fp32_cpu_offload": false,
"llm_int8_has_fp16_weight": false,
"llm_int8_skip_modules": null,
"llm_int8_threshold": 6.0,
"load_in_4bit": false,
"load_in_8bit": true,
"quant_method": "bitsandbytes"
},
"text_config": {
"attention_bias": false,
"attention_dropout": 0.0,
"dtype": "bfloat16",
"eos_token_id": [
59246,
59253
],
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 1536,
"initializer_range": 0.02,
"intermediate_size": 4608,
"max_position_embeddings": 131072,
"model_type": "glm_ocr_text",
"num_attention_heads": 16,
"num_hidden_layers": 16,
"num_key_value_heads": 8,
"num_nextn_predict_layers": 1,
"pad_token_id": 59246,
"rms_norm_eps": 1e-05,
"rope_parameters": {
"mrope_section": [
16,
24,
24
],
"partial_rotary_factor": 1.0,
"rope_theta": 10000,
"rope_type": "default"
},
"tie_word_embeddings": false,
"use_cache": true,
"vocab_size": 59392
},
"tie_word_embeddings": false,
"transformers_version": "5.9.0",
"video_end_token_id": 59259,
"video_start_token_id": 59258,
"video_token_id": 59281,
"vision_config": {
"attention_bias": true,
"attention_dropout": 0.0,
"depth": 24,
"dtype": "bfloat16",
"hidden_act": "silu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"image_size": 336,
"in_channels": 3,
"initializer_range": 0.02,
"intermediate_size": 4096,
"model_type": "glm_ocr_vision",
"num_heads": 16,
"out_hidden_size": 1536,
"patch_size": 14,
"rms_norm_eps": 1e-05,
"spatial_merge_size": 2,
"temporal_patch_size": 2
}
}
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