Model save

README.md

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+---
+library_name: transformers
+base_model: Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-LucieFr-AlpacaGPT4-OpenWebText-TV
+tags:
+- generated_from_trainer
+model-index:
+- name: Grogros-dmWM-Llama-3.1-8B-Instruct-LucieFr-Al4-OWT-TV-OpenMathInstruct
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Grogros-dmWM-Llama-3.1-8B-Instruct-LucieFr-Al4-OWT-TV-OpenMathInstruct
+
+This model is a fine-tuned version of [Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-LucieFr-AlpacaGPT4-OpenWebText-TV](https://huggingface.co/Grogros/dmWM-meta-llama-Llama-3.1-8B-Instruct-ft-LucieFr-AlpacaGPT4-OpenWebText-TV) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Use adafactor and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 2500
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.53.3
+- Pytorch 2.2.0a0+81ea7a4
+- Datasets 3.6.0
+- Tokenizers 0.21.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "transformers_version": "4.53.3"
+}