Instructions to use developer-314e/result with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use developer-314e/result with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("developer-314e/result", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 110
Browse files
adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha":
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r":
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"down_proj",
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"q_proj",
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"o_proj",
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"v_proj",
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"gate_proj",
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"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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{
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"alpha_pattern": {},
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"base_model_name_or_path": "314e/dexit-VLM-Gemma3-Entity-test5-integration",
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"bias": "none",
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"eva_config": null,
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"loftq_config": {},
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"lora_alpha": 256,
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"lora_bias": false,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 126,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"o_proj",
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"up_proj",
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"q_proj",
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"v_proj",
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"gate_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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runs/Mar16_08-02-53_88eef0fde4dc/events.out.tfevents.1773648178.88eef0fde4dc.9622.0
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special_tokens_map.json
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{
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"bos_token": {
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"pad_token": {
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"boi_token": "<start_of_image>",
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"image_token": "<image_soft_token>",
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"pad_token": {
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"content": "<pad>",
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"unk_token": {
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"content": "<unk>",
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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