Translation
Transformers
Safetensors
Korean
English
Vietnamese
llama
text-generation
text-generation-inference
Instructions to use DMTLabs-AI/DMTLLM-Translation-Research with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DMTLabs-AI/DMTLLM-Translation-Research with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="DMTLabs-AI/DMTLLM-Translation-Research")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DMTLabs-AI/DMTLLM-Translation-Research") model = AutoModelForCausalLM.from_pretrained("DMTLabs-AI/DMTLLM-Translation-Research", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- config.json +32 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- sft_config.json +28 -0
- tokenizer.json +0 -0
- tokenizer_meta.json +13 -0
- training_state.pt +3 -0
config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "float32",
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"eos_token_id": 2,
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 1376,
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"max_position_embeddings": 1024,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 8,
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"num_hidden_layers": 8,
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"num_key_value_heads": 4,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.14.1",
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"use_cache": false,
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"vocab_size": 48000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"pad_token_id": 0,
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"transformers_version": "5.14.1",
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"use_cache": false
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c390f58a024851467b72bd72966b8b955baaa4bbc5d6dd6e7fd6ad6709929cba
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size 191146000
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sft_config.json
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{
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"name": "dmt-multilingual-50m-translation-sft",
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"base_model_dir": "outputs/dmt-multilingual-50m/final",
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"data_dir": "data/sft_tokenized",
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"tokenizer_path": "tokenizer/tokenizer.json",
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"output_dir": "outputs/dmt-multilingual-50m-translation-sft",
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"training": {
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"micro_batch_size": 64,
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"eval_micro_batch_size": 64,
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"gradient_accumulation_steps": 2,
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"epochs": 1,
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"max_steps": 0,
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"learning_rate": 5e-05,
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"min_learning_rate": 5e-06,
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"weight_decay": 0.01,
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"warmup_ratio": 0.03,
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"gradient_clip": 1.0,
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"num_workers": 8,
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"pad_to_multiple_of": 8,
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"log_interval": 20,
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"eval_interval": 500,
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"eval_batches": 100,
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"save_interval": 2000,
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"seed": 42,
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"compile": false,
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"gradient_checkpointing": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_meta.json
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{
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"algorithm": "ByteLevel BPE",
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"requested_vocab_size": 48000,
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"actual_vocab_size": 48000,
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"special_tokens": {
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"<pad>": 0,
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"<s>": 1,
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"</s>": 2,
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"<unk>": 3,
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"<ko>": 4,
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"<en>": 5
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}
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}
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training_state.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c7cf704c271600ba570d5eee0644f451d61e47a32ddd3600d09c69252a412444
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size 382340799
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