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Model: wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0 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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pipeline_tag: text-generation
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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tags:
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- peft
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- lora
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- merged
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---
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# Meta-Llama-3-8B-Instruct-fedavg-v0
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This repository contains a full merged model produced by applying a PEFT LoRA adapter to its base model. It is intended for reproducible evaluation without requiring a separate adapter loading path.
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## Quick Start
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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```
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Run the bundled FSL evaluation wrapper:
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```bash
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bash fsl/src/evaluation/overall_eval.sh \
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--model_name wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0 \
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--model_type instruct \
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--max_samples 100 \
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--output_root fsl/results/evaluation/Meta-Llama-3-8B-Instruct-fedavg-v0
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```
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## Training Procedure
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- Procedure: Federated LoRA fine-tuning followed by adapter aggregation. The resulting PEFT LoRA adapter was merged into the base model for reproducible evaluation.
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- Algorithm: `fedavg`
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- Training data: `data_hetero_with_4_tasks`
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- Number of clients: `8`
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- Communication round/checkpoint: `3`
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- Local epochs: `3`
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- Local batch size: `256`
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- Local micro batch size: `16`
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- Local learning rate: `0.0003`
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Original training command:
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Not specified
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## Merge Metadata
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- Base model: `meta-llama/Meta-Llama-3-8B-Instruct`
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- Adapter source: `/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/2`
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- PEFT type: `LORA`
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- Task type: `CAUSAL_LM`
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- LoRA rank: `16`
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- LoRA alpha: `16`
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- Target modules: `up_proj`, `v_proj`, `gate_proj`, `q_proj`, `k_proj`, `o_proj`, `down_proj`
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- Merged at UTC: `2026-05-22T05:24:31.213169+00:00`
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## Framework Versions
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- python: `3.10.20`
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- platform: `Linux-6.8.0-100-generic-x86_64-with-glibc2.39`
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- torch: `2.11.0+cu130`
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- cuda: `13.0`
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- transformers: `4.57.1`
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- peft: `0.19.1`
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- accelerate: `1.13.0`
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- huggingface_hub: `0.36.2`
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- safetensors: `0.7.0`
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- vllm: `0.20.2`
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- wandb: `0.27.0`
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## Notes
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- This is a merged full-weight model, not an adapter-only checkpoint.
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- Redistribution/access should follow the base model license and access policy.
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- `merge_info.json` in this repository records the adapter and merge configuration.
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chat_template.jinja
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{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
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' }}{% endif %}
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config.json
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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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"dtype": "bfloat16",
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"head_dim": 128,
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"hidden_act": "silu",
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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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"mlp_bias": false,
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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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"tie_word_embeddings": false,
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"transformers_version": "4.57.1",
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"vocab_size": 128256
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}
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generation_config.json
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{
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"bos_token_id": 128000,
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"do_sample": true,
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128001,
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"max_length": 4096,
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.57.1"
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}
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merge_info.json
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{
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"adapter_dir": "/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/2",
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"base_model": "meta-llama/Meta-Llama-3-8B-Instruct",
|
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"peft_type": "LORA",
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"task_type": "CAUSAL_LM",
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"lora_r": 16,
|
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"lora_alpha": 16,
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"target_modules": [
|
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"up_proj",
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"v_proj",
|
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"gate_proj",
|
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"q_proj",
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"k_proj",
|
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"o_proj",
|
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"down_proj"
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],
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"merged_at_utc": "2026-05-22T05:24:31.213169+00:00",
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"output_dir": "/NHNHOME/0226010080_A/BASE/jongbokwon/FLS/fsl/outputs/fedavg/8/merged",
|
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"repo_id": "wvnvwn/Meta-Llama-3-8B-Instruct-fedavg-v0",
|
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"private": false,
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||||
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"dtype": "bfloat16",
|
||||
"max_shard_size": "5GB",
|
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"training": {
|
||||
"procedure": "Federated LoRA fine-tuning followed by adapter aggregation. The resulting PEFT LoRA adapter was merged into the base model for reproducible evaluation.",
|
||||
"algorithm": "fedavg",
|
||||
"training_data": "data_hetero_with_4_tasks",
|
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|
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"communication_round": "3",
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|
||||
"local_micro_batch_size": "16",
|
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"local_learning_rate": "0.0003"
|
||||
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|
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|
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|
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||||
"model.norm.weight": "model-00004-of-00004.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": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
2062
tokenizer_config.json
Normal file
2062
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user