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Model: VTSNLP/Llama3-ViettelSolutions-8B Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: llama3
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datasets:
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- VTSNLP/vietnamese_curated_dataset
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language:
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- vi
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- en
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base_model:
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- meta-llama/Meta-Llama-3-8B
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pipeline_tag: text-generation
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---
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# Model Information
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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Llama3-ViettelSolutions-8B is a variant of the Meta Llama-3-8B model, continued pre-trained on the [Vietnamese curated dataset](https://huggingface.co/datasets/VTSNLP/vietnamese_curated_dataset) and supervised fine-tuned on 5 million samples of Vietnamese instruct data.
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- **Developed by:** Viettel Solutions
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- **Funded by:** NVIDIA
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- **Model type:** Autoregressive transformer model
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- **Language(s) (NLP):** Vietnamese, English
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- **License:** Llama 3 Community License
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- **Finetuned from model:** meta-llama/Meta-Llama-3-8B
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## Uses
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Example snippet for usage with Transformers:
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```
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import transformers
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import torch
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model_id = "VTSNLP/Llama3-ViettelSolutions-8B"
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pipeline = transformers.pipeline(
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"text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
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)
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pipeline("Xin chào!")
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```
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## Training Details
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### Training Data
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- Dataset for continue pretrain: [Vietnamese curated dataset](https://huggingface.co/datasets/VTSNLP/vietnamese_curated_dataset)
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- Dataset for supervised fine-tuning: [Instruct general dataset](https://huggingface.co/datasets/VTSNLP/instruct_general_dataset)
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** bf16 mixed precision <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- **Data sequence length:** 8192
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- **Tensor model parallel size:** 4
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- **Pipelinemodel parallel size:** 1
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- **Context parallel size:** 1
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- **Micro batch size:** 1
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- **Global batch size:** 512
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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[More Information Needed]
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## Technical Specifications
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- Compute Infrastructure: NVIDIA DGX
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- Hardware: 4 x A100 80GB
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- Software: [NeMo Framework](https://github.com/NVIDIA/NeMo)
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## Citation
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## More Information
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[More Information Needed]
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## Model Card Authors
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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config.json
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config.json
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{
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"_name_or_path": "llama3_finetune_general",
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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": 128000,
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"eos_token_id": 128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.40.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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"model.layers.8.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.norm.weight": "model-00007-of-00007.safetensors"
|
||||
}
|
||||
}
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410563
tokenizer.json
Normal file
410563
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2061
tokenizer_config.json
Normal file
2061
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user